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Operations Management Case Studies
Case Studies in Operations Research
Applications of Optimal Decision Making
- © 2015
- Katta G. Murty 0
Department Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA
You can also search for this editor in PubMed Google Scholar
- Presents a broad range of case studies suitable for modeling courses for OR students
- Additional materials posted on the book's Springer.com webpage to allow students to solve problems using the case studies
- Contributing authors among the most prominent in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 212)
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Table of contents (22 chapters)
Front matter, intelligent modeling essential to get good results: container storage inside a container terminal.
Katta G. Murty
Diesel Locomotive Fueling Problem (LFP) in Railroad Operations
- Bodhibrata Nag, Katta G. Murty
Organizing National Elections in India to Elect the 543 Members of the Lok Sabha
Procurement, production and marketing at supply-driven milk and milk products cooperative.
- Omkar D. Palsule-Desai, Katta G. Murty
DSS (Decision Support System) for Allocating Appointment Times to Calling Patients at a Medical Facility
- Adel Alaeddini, Katta G. Murty
Transportation–Location Problem for a Solar Stove Distributing Nonprofit Organization
- Gemma Berenguer, Amber Richter, Zuo-Jun (Max) Shen
Designing Earth Dams Optimally
- G. S. R. Murthy, Katta G. Murty, G. Raghupathy
Optimal Scheduling of a Multiunit Hydro Power Station in a Short-Term Planning Horizon
- Alberto Borghetti, Claudia D’Ambrosio, Andrea Lodi, Silvano Martello
Optimizing the Design of Water Distribution Networks Using Mathematical Optimization
- Cristiana Bragalli, Claudia D’Ambrosio, Jon Lee, Andrea Lodi, Paolo Toth
Wood Inventory Management in Paper Industry
- G. S. R. Murthy, A. L. N. Murthy, Katta G. Murty
Optimizing the Design of Heat Exchanger Networks in Crude Oil Refineries
- Majid M. Al-Gwaiz, Katta G. Murty
Optimizing the Allocation of Cuboidal Boxes to Cuboidal Compartments for Storage in a Warehouse
Optimal intake and routing of floating oil rigs in the north sea.
- Dag Haugland, Bjørn Peter Tjøstheim
Addressing the Peak Power Problem Through Thermal Energy Storage
- Wesley Cole, JongSuk Kim, Kriti Kapoor, Thomas Edgar
Optimal Flight Planning for a Jet Aircraft
- Harris McClamroch, Taeyoung Lee
Freight Transport by Rail
- Katta G. Murty, Bodhibrata Nag, Omkar D. Palsule-Desai
Cutting Stock Problems in the Paper and Sheet Metal Industries
- G. S. R. Murthy, Katta G. Murty
Inventory Management in Blood Banks
- Harshal Lowalekar, N. Ravichandran
Assembling Cells in Wet Cell Traction Batteries that Power Forklifts
- Case Studies
- Decision Making
- Mathematical Modeling
- Mathematical Programming
- Operations Research
- Optimization Models
About this book
This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other organizations in which decision making is an important component of their daily operations. The book considers all methods of optimum decision making in order to improve performances. It also compares possible solutions obtained by different approaches, concluding with a recommendation of the best among them for implementation. By exposing students to a variety of applications in a variety of areas and explaining how they can be modeled and solved, the book helps students develop the skills needed for modeling and solving problems that they may face in the workplace.
Each chapter of " Case Studies in Operations Research: Applications of Optimal Decision Making" also includes additionaldata provided on the book’s website on Springer.com. These files contain a brief description of the area of application, the problem and the required outputs. Also provided are links to access all the data in the problem. Finally there are project exercises for students to practice what they have learnt in the chapter, which can also be used by instructors as project assignments in their courses.
Editors and Affiliations
About the editor, bibliographic information.
Book Title : Case Studies in Operations Research
Book Subtitle : Applications of Optimal Decision Making
Editors : Katta G. Murty
Series Title : International Series in Operations Research & Management Science
DOI : https://doi.org/10.1007/978-1-4939-1007-6
Publisher : Springer New York, NY
eBook Packages : Business and Economics , Business and Management (R0)
Copyright Information : Springer Science+Business Media New York 2015
Hardcover ISBN : 978-1-4939-1006-9 Published: 09 December 2014
Softcover ISBN : 978-1-4939-4355-5 Published: 30 April 2017
eBook ISBN : 978-1-4939-1007-6 Published: 08 December 2014
Series ISSN : 0884-8289
Series E-ISSN : 2214-7934
Edition Number : 1
Number of Pages : XXIV, 543
Number of Illustrations : 70 b/w illustrations, 93 illustrations in colour
Topics : Operations Research/Decision Theory , Operations Research, Management Science
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Cases in Operations Management Building Customer Value Through World-Class Operations
- Robert D. Klassen - University of Western Ontario, Canada
- Larry J. Menor - University of Western Ontario, Canada
- Description
See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .
For assistance with your order: Please email us at [email protected] or connect with your SAGE representative.
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I will uses the case studies for the course and have given the details to our library to order. The cases are very good. Thanks, Qeis Kamran
First of all I'd like to say this book is an excellent book in the field, as cases books for academic education are very rare. But the only reason why I did not adopt is because that this book needs updating. The latest version was published in 2006 and a lot has happended in the field since then.
Very good book giving detailled information about all aspects of OM. Bit too heavy for my student groups but no fault of the author.
Good range of case studies presented although the two column page layout seems very old fashioned in its style.
- strong decision orientation of real-world cases
- clear development of the linkages between business processes and customer value
- diversity of international case settings
- mixture of cases, simulations and in-class exercises
Sample Materials & Chapters
Chapter 1. Developing World-Class Operations
Chapter 3. Planning and Control
Chapter 5. Quality
For instructors
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Operations →
- 01 Apr 2024
- In Practice
Navigating the Mood of Customers Weary of Price Hikes
Price increases might be tempering after historic surges, but companies continue to wrestle with pinched consumers. Alexander MacKay, Chiara Farronato, and Emily Williams make sense of the economic whiplash of inflation and offer insights for business leaders trying to find equilibrium.
- 22 Mar 2024
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Open Source Software: The $9 Trillion Resource Companies Take for Granted
Many companies build their businesses on open source software, code that would cost firms $8.8 trillion to create from scratch if it weren't freely available. Research by Frank Nagle and colleagues puts a value on an economic necessity that will require investment to meet demand.
- 27 Feb 2024
- Cold Call Podcast
How Could Harvard Decarbonize Its Supply Chain?
Harvard University aims to be fossil-fuel neutral by 2026 and totally free of fossil fuels by 2050. As part of this goal, the university is trying to decarbonize its supply chain and considers replacing cement with a low-carbon substitute called Pozzotive®, made with post-consumer recycled glass. A successful pilot project could jump start Harvard’s initiative to reduce embodied carbon emissions, but it first needs credible information about the magnitude and validity of potential carbon reductions. Harvard Business School professor emeritus Robert Kaplan and assistant professor Shirley Lu discuss the flow of emissions along the supply chain of Harvard University’s construction projects, the different methods of measuring carbon emissions, including the E-liability approach, and the opportunity to leverage blockchain technology to facilitate the flow of comparable and reliable emissions information in the case, “Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain.”
- 02 Jan 2024
10 Trends to Watch in 2024
Employees may seek new approaches to balance, even as leaders consider whether to bring more teams back to offices or make hybrid work even more flexible. These are just a few trends that Harvard Business School faculty members will be following during a year when staffing, climate, and inclusion will likely remain top of mind.
- 12 Dec 2023
COVID Tested Global Supply Chains. Here’s How They’ve Adapted
A global supply chain reshuffling is underway as companies seek to diversify their distribution networks in response to pandemic-related shocks, says research by Laura Alfaro. What do these shifts mean for American businesses and buyers?
- 25 Apr 2023
How SHEIN and Temu Conquered Fast Fashion—and Forged a New Business Model
The platforms SHEIN and Temu match consumer demand and factory output, bringing Chinese production to the rest of the world. The companies have remade fast fashion, but their pioneering approach has the potential to go far beyond retail, says John Deighton.
- 21 Apr 2023
The $15 Billion Question: Have Loot Boxes Turned Video Gaming into Gambling?
Critics say loot boxes—major revenue streams for video game companies—entice young players to overspend. Can regulators protect consumers without dampening the thrill of the game? Research by Tomomichi Amano and colleague.
- 11 Apr 2023
A Rose by Any Other Name: Supply Chains and Carbon Emissions in the Flower Industry
Headquartered in Kitengela, Kenya, Sian Flowers exports roses to Europe. Because cut flowers have a limited shelf life and consumers want them to retain their appearance for as long as possible, Sian and its distributors used international air cargo to transport them to Amsterdam, where they were sold at auction and trucked to markets across Europe. But when the Covid-19 pandemic caused huge increases in shipping costs, Sian launched experiments to ship roses by ocean using refrigerated containers. The company reduced its costs and cut its carbon emissions, but is a flower that travels halfway around the world truly a “low-carbon rose”? Harvard Business School professors Willy Shih and Mike Toffel debate these questions and more in their case, “Sian Flowers: Fresher by Sea?”
- 28 Mar 2023
The FDA’s Speedy Drug Approvals Are Safe: A Win-Win for Patients and Pharma Innovation
Expediting so-called breakthrough therapies has saved millions of dollars in research time without compromising drug safety or efficacy, says research by Ariel Stern, Amitabh Chandra, and colleagues. Could policymakers harness the approach to bring life-saving treatments to the market faster?
- 31 Jan 2023
Addressing Racial Discrimination on Airbnb
For years, Airbnb gave hosts extensive discretion to accept or reject a guest after seeing little more than a name and a picture, believing that eliminating anonymity was the best way for the company to build trust. However, the apartment rental platform failed to track or account for the possibility that this could facilitate discrimination. After research published by Professor Michael Luca and others provided evidence that Black hosts received less in rent than hosts of other races and showed signs of discrimination against guests with African American sounding names, the company had to decide what to do. In the case, “Racial Discrimination on Airbnb,” Luca discusses his research and explores the implication for Airbnb and other platform companies. Should they change the design of the platform to reduce discrimination? And what’s the best way to measure the success of any changes?
- 29 Nov 2022
How Much More Would Holiday Shoppers Pay to Wear Something Rare?
Economic worries will make pricing strategy even more critical this holiday season. Research by Chiara Farronato reveals the value that hip consumers see in hard-to-find products. Are companies simply making too many goods?
- 18 Oct 2022
Chewy.com’s Make-or-Break Logistics Dilemma
In late 2013, Ryan Cohen, cofounder and then-CEO of online pet products retailer Chewy.com, was facing a decision that could determine his company’s future. Should he stay with a third-party logistics provider (3PL) for all of Chewy.com’s e-commerce fulfillment or take that function in house? Cohen was convinced that achieving scale would be essential to making the business work and he worried that the company’s current 3PL may not be able to scale with Chewy.com’s projected growth or maintain the company’s performance standards for service quality and fulfillment. But neither he nor his cofounders had any experience managing logistics, and the company’s board members were pressuring him to leave order fulfillment to the 3PL. They worried that any changes could destabilize the existing 3PL relationship and endanger the viability of the fast-growing business. What should Cohen do? Senior Lecturer Jeffrey Rayport discusses the options in his case, “Chewy.com (A).”
- 12 Oct 2022
When Design Enables Discrimination: Learning from Anti-Asian Bias on Airbnb
Airbnb bookings dropped 12 percent more for hosts with Asian names than other hosts during the early months of the COVID-19 pandemic, says research by Michael Luca. Could better design deter bias, particularly during times of crisis?
- 22 Aug 2022
Can Amazon Remake Health Care?
Amazon has disrupted everything from grocery shopping to cloud computing, but can it transform health care with its One Medical acquisition? Amitabh Chandra discusses company's track record in health care and the challenges it might face.
- 12 Jul 2022
Can the Foodservice Distribution Industry Recover from the Pandemic?
At the height of the pandemic in 2020, US Foods struggled, as restaurant and school closures reduced demand for foodservice distribution. The situation improved after the return of indoor dining and in-person learning, but an industry-wide shortage of truck drivers and warehouse staff hampered the foodservice distributor’s post-pandemic recovery. That left CEO Pietro Satriano to determine the best strategy to attract and retain essential workers, even as he was tasked with expanding the wholesale grocery store chain (CHEF’STORE) that US Foods launched during the pandemic lockdown. Harvard Business School Professor David E. Bell explores how post-pandemic supply chain challenges continue to affect the foodservice distribution industry in his case, “US Foods: Driving Post-Pandemic Success?”
- 05 Jul 2022
- What Do You Think?
Have We Seen the Peak of Just-in-Time Inventory Management?
Toyota and other companies have harnessed just-in-time inventory management to cut logistics costs and boost service. That is, until COVID-19 roiled global supply chains. Will we ever get back to the days of tighter inventory control? asks James Heskett. Open for comment; 0 Comments.
- 05 May 2022
Why Companies Raise Their Prices: Because They Can
Markups on household items started climbing years before the COVID-19 pandemic. Companies have realized just how much consumers will pay for the brands they love, says research by Alexander MacKay. Closed for comment; 0 Comments.
- 31 Mar 2022
Navigating the ‘Bermuda Triangle’ in Professional Services
Not all companies need to scale. Ashish Nanda explores a crucial choice that leaders of professional services firms face as their organizations grow. Open for comment; 0 Comments.
- 28 Feb 2022
How Racial Bias Taints Customer Service: Evidence from 6,000 Hotels
Hotel concierges provide better service to white customers than Black and Asian customers, says research by Alexandra Feldberg and colleague. They offer three strategies to help companies detect bias on the front line. Open for comment; 0 Comments.
- 10 Feb 2022
Why Are Prices So High Right Now—and Will They Ever Return to Normal?
And when will sold-out products return to store shelves? The answers aren't so straightforward. Research by Alberto Cavallo probes the complex interplay of product shortages, prices, and inflation. Open for comment; 0 Comments.
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HBS Case Selections
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Partner Center
SCM Case Studies With Examples
What is an scm case study.
- Procurement
- Product lifecycle management (PLM)
- Inventory management
- Demand planning
- Order management
- Warehousing
- Transportation
- Customer service
What’s Included in SCM Case Studies?
- Client profile —company type, industry, and a brief history and description of the company
- The situation —the circumstances that initially caused the company to become interested in a new SCM solution
- The challenges —the problems and issues the company was facing that an SCM solution could solve
- The process —the heart of the case study, as it shows how the SCM vendor, reseller, or service provider—or TEC—performed its services in a way that met or exceeded the client’s goals and expectations
- The results —the benefits to the client at the end of the day
- Vendor/service provider profile —brief description of the vendor, reseller, or service provider—or TEC—including contact information
The Benefits of an SCM Case Study in the Selection Process
Because modern SCM software is generally quite complex, it can be difficult for companies to determine which SCM solution is the right one for their needs. Fortunately, there is a lot of documentation and research that companies can reference to assist them. As a category, SCM case studies can be of particular value because they describe how other companies overcame challenges inherent in the SCM software selection process. In the best case, organizations, such as manufacturing and distribution companies, can find SCM case studies that feature companies like theirs with similar needs and circumstances.
How TEC's SCM Case Studies Can Help You Find the Best-Fit SCM Software
TEC is a software service provider; we are not a vendor or reseller. As an industry-leading software advisory firm, we focus on three areas that are of critical importance to our clients:
- evaluation and selection
- implementation oversight
- vendor/reseller contract negotiations
TEC case studies show how our advisory services helped companies of varying types, sizes, and industries succeed in all three areas.
TEC’s SCM Software Selection Process
Selecting enterprise software presents some significant issues. The complexity of today’s enterprise software can be a challenge for companies that lack the appropriate in-house expertise. Most companies are unused to cataloging their processes and goals and then matching them to software features and functions. And while vendors sell software every day, companies seldom make a software purchase, giving vendors a built-in advantage when it comes to contract negotiations. Finally, software implementation is a specialty of its own, requiring specific expertise and oversight in this process. As you can see right below, TEC’s software selection process provides assistance in all these areas with a proven methodology developed over hundreds of successful selection projects and implementations.
- Assess : Assess the client’s business processes and goals, gaps in key processes, and discover their functional requirements
- Review : Review SCM solutions and vendor capabilities to meet the client’s business needs
- Identify : Identify the shortlist of SCM vendors and their partner(s)
- Demonstration : Assess SCM solution demonstrations scripted to the client’s business processes
- Proposal : Create and distribute SCM request for proposal (RFP) to vendors to clarify deliverables and project total cost of ownership (TCO)
- Reference : Evaluate SCM vendor and their partner(s) through reference checks from real-world clients on previous projects
- Contract : Perform contract review and price negotiations on behalf of the client for cost savings
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Case Study In Operations Management
2011, Journal of Business Case Studies (JBCS)
This case study is conducted within the context of the Theory of Constraints. The field research reported in this document contains information specific to the telecommunications industry. An examination of the history, organization design, problems and solutions for one telecommunications company are undertaken from the perspective of academic work in the Theory of Constraints. The information included in this document was developed through interviews with four senior managers including the President, the Chief Technology Officer, a Vice President and a department manager. Their responses were the basis of identifying problems and undesirable effects. The undesirable effects were diagramed in six UDE clouds dealing with the following issues: 1- unclear vision from management to employees; 2- supplier; 3- market; 4- the price and regulation environment; 5- production; and 6- bureaucracy. These undesirable effects were logically examined until a single cloud depicting the core confli...
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CHIRANJIB BHOWMIK
The aim of this paper is to implement TOC in forging area in which the constraints prevents the throughput of the system to enhance the quality and reduce errors. Many quality improvement (QI) approaches have a limited evaluation of the factors in the selection of QI projects. Theory of constraints (TOC) has been proposed as a remedy for the better selection of QI projects. The strategic Thinking Processes (TP) of Theory of constraints is designed to struggle an enormous problem faced by organizations. The paper proposes an improvement of TOC–based TP in one of the leading forging industry in India to identify and overcome the system constraints in the business. The result shows that the TOC-TP identifies the production constraints and suggests measures to improve the system. The research is applicable to any production house in which product quality reduces the throughput of the organization. This is the first time that the theory of constraints philosophy has been used to maximize...
Jesus Ramon Melendez
The investigations began with the drum-buffer-rope architecture, as the basis of the Theory of Constraints (TOC). Currently, TOC has been applied in various business sectors. With the support of mathematical models and simulation, it has been possible to optimize the productive processes. The objective of this study was to determine the investigative tendencies of the TOC in the different productive sectors and its application in business management environments. The results establish that its application increases the efficiency of the process.
Nigerian Chapter of Arabian Journal of Business and Management Review
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In today’s economic climate, many organizations struggle with declining sales and increasing costs. Some choose to hunker down and weather the storm, hoping for better results in the future. However, layoffs and workforce reductions jeopardize future competitiveness. However, organizations that have implemented the Theory of Constraints (TOC) continue to thrive and grow in difficult times, continuing to achieve real bottom line growth, whether by improving productivity or increased revenues. In this paper, the organization dealing with the furniture manufacturing has been studied and the main constraints for the maximum throughput are identified by applying a thinking process tool called as “Theory of Constraints” (TOC). The Drum Buffer Rope (DBR) has been applied for capacity planning and the time for each identified processes is calculated and workload for each work center is calculated. Then the capacity constraint machine is identified. The proper solution has been provided to o...
Niek Du Preez
Erkam Guresen
Theory of constraints (TOC) is a technique that produces solutions for every kind of bottleneck in a short time. The philosophy of the theory is to determine the weaker part of the process chain and to eliminate this constraint point by taking action. After improvement, the next weaker part of the process chain is determined, and so on, for continuous improvement. The main goal is to apply improvement actions continuously to reach an excellent system structure. This paper describes how the five main steps of the theory of constraints were applied to eliminate waste at a supplier firm in Turkey..
Aitor Lizarralde
Purpose: The theory of constraints (TOC) drum-buffer-rope methodology is appropriate when managing a production plant in complex environments, such as make-to-order (MTO) scenarios. However, some difficulties have been detected in implementing this methodology in such changing environments. This case study analyses a MTO company to identify the key factors that influence the execution of the third step of TOC. It also aims to evaluate in more depth the research started by Lizarralde et al. (2020) and compare the results with the existing literature. Design/methodology/approach: The case study approach is selected as a research methodology because of the need to investigate a current phenomenon in a real environment. Findings: In the case study analysed, the protective capacity of non-bottleneck resources is found to the key factor when subordinating the MTO system to a bottleneck (BN). Furthermore, it coincides with one of the two key factors defined by the literature, namely protec...
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Top 40 Most Popular Case Studies of 2021
Two cases about Hertz claimed top spots in 2021's Top 40 Most Popular Case Studies
Two cases on the uses of debt and equity at Hertz claimed top spots in the CRDT’s (Case Research and Development Team) 2021 top 40 review of cases.
Hertz (A) took the top spot. The case details the financial structure of the rental car company through the end of 2019. Hertz (B), which ranked third in CRDT’s list, describes the company’s struggles during the early part of the COVID pandemic and its eventual need to enter Chapter 11 bankruptcy.
The success of the Hertz cases was unprecedented for the top 40 list. Usually, cases take a number of years to gain popularity, but the Hertz cases claimed top spots in their first year of release. Hertz (A) also became the first ‘cooked’ case to top the annual review, as all of the other winners had been web-based ‘raw’ cases.
Besides introducing students to the complicated financing required to maintain an enormous fleet of cars, the Hertz cases also expanded the diversity of case protagonists. Kathyrn Marinello was the CEO of Hertz during this period and the CFO, Jamere Jackson is black.
Sandwiched between the two Hertz cases, Coffee 2016, a perennial best seller, finished second. “Glory, Glory, Man United!” a case about an English football team’s IPO made a surprise move to number four. Cases on search fund boards, the future of malls, Norway’s Sovereign Wealth fund, Prodigy Finance, the Mayo Clinic, and Cadbury rounded out the top ten.
Other year-end data for 2021 showed:
- Online “raw” case usage remained steady as compared to 2020 with over 35K users from 170 countries and all 50 U.S. states interacting with 196 cases.
- Fifty four percent of raw case users came from outside the U.S..
- The Yale School of Management (SOM) case study directory pages received over 160K page views from 177 countries with approximately a third originating in India followed by the U.S. and the Philippines.
- Twenty-six of the cases in the list are raw cases.
- A third of the cases feature a woman protagonist.
- Orders for Yale SOM case studies increased by almost 50% compared to 2020.
- The top 40 cases were supervised by 19 different Yale SOM faculty members, several supervising multiple cases.
CRDT compiled the Top 40 list by combining data from its case store, Google Analytics, and other measures of interest and adoption.
All of this year’s Top 40 cases are available for purchase from the Yale Management Media store .
And the Top 40 cases studies of 2021 are:
1. Hertz Global Holdings (A): Uses of Debt and Equity
2. Coffee 2016
3. Hertz Global Holdings (B): Uses of Debt and Equity 2020
4. Glory, Glory Man United!
5. Search Fund Company Boards: How CEOs Can Build Boards to Help Them Thrive
6. The Future of Malls: Was Decline Inevitable?
7. Strategy for Norway's Pension Fund Global
8. Prodigy Finance
9. Design at Mayo
10. Cadbury
11. City Hospital Emergency Room
13. Volkswagen
14. Marina Bay Sands
15. Shake Shack IPO
16. Mastercard
17. Netflix
18. Ant Financial
19. AXA: Creating the New CR Metrics
20. IBM Corporate Service Corps
21. Business Leadership in South Africa's 1994 Reforms
22. Alternative Meat Industry
23. Children's Premier
24. Khalil Tawil and Umi (A)
25. Palm Oil 2016
26. Teach For All: Designing a Global Network
27. What's Next? Search Fund Entrepreneurs Reflect on Life After Exit
28. Searching for a Search Fund Structure: A Student Takes a Tour of Various Options
30. Project Sammaan
31. Commonfund ESG
32. Polaroid
33. Connecticut Green Bank 2018: After the Raid
34. FieldFresh Foods
35. The Alibaba Group
36. 360 State Street: Real Options
37. Herman Miller
38. AgBiome
39. Nathan Cummings Foundation
40. Toyota 2010
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Operations strategy case studies
Customer operations.
A leading US non-profit health insurer focused on service as a key differentiator. It wanted to gain insight into current operational performance, and develop customer-centric capabilities like self-service and digital competency. PwC's Strategy& was engaged to evaluate and address gaps in customer and member engagement.
Leveraging our health insurance expertise, proprietary market research databases, and best practices to help the client develop its differentiated customer-centric capabilities, we identified quick wins included outsourcing of manual activities, automation of macros/scripting, and standardization of call center work-from-home policies. We delivered a plan to enhance workforce management, consolidate provider data claim, and move to pre-pay policy. Additional recommendations addressed network rationalization, timely issuance of ID cards, and reducing SG&A expenses.
The project identified $25M investment in provider engagement, flexible network design, personalized member service, and real-time enrollment to achieve the desired differentiating capabilities.
Innovation and product development
A global chemicals specialty company with multiple business units and several existing embedded R&D teams was challenged by stagnating growth in difficult market conditions and the client was seeking to reinvigorate the portfolio. The client sought to consolidate R&D capabilities and establish a corporate innovation function to coordinate and drive its long-term R&D agenda and drive growth.
Strategy& was asked to design the innovation operating model, define the collaboration with business units, and develop a concept for R&D partnerships and venturing to drive growth.
We established a target operating model, refocused product innovation into clusters and developed a venturing approach. The client experienced a significant upswing in R&D productivity, new record numbers of patents filed, and breakthroughs innovations in a number of focus areas. Overall, improved R&D coherence led to 13% direct top line growth and 15% EBITDA improvement.
Strategic supply management
A global lighting company with over $5B sales revenue across more than 130 countries was faced with tremendous market disruptions resulting from the transition from traditional lighting to LED. To successfully play in this significantly different market, the company sold off its traditional business and refocused on the technically driven, fast-cycled LED business. To enable this, the client had to adopt new business models. Within this context, the procurement function had to undergo a major transition towards strategic supply management to effectively support the businesses going forward.
Strategy& supported the client in identifying the new requirements resulting from the changed business models, developing the procurement transformation program based on prioritized 4-6 focus areas (e.g. SRM, Supplier and Innovation Scouting), including appropriate KPIs, and designing a comprehensive change management concept and roadmap to ensure engagement and buy-in from the client team.
The transformation delivered significantly improved service levels for the BUs based on nine key strategic supply management capabilities and an adapted operating model with an improved split of roles and responsibilities between corporate headquarters and business units.
Competitive manufacturing
A global product company with $10B sales revenue across more than 130 countries was suffering from a highly complex manufacturing footprint which was not aligned with the client’s main markets. The client was losing sales and profitability due to high order fulfillment cycle times, high manufacturing costs, and low productivity performance in its key operations.
Strategy& designed the global manufacturing footprint strategy based on clearly defined customer and market requirements. As a consequence, the team agreed to realign the operations footprint from 23 to 15 operations by implementing a more balanced global footprint closer to key customers and/or distribution centers.
The transformation delivered shorter order fulfillment cycle times while simultaneously reducing manufacturing costs by up to 10% and improving overall productivity and flexibility. These results led to a gross margin improvement by 5%.
Capital assets
A leading oil field services and equipment company’s financial performance was lagging its peers, and the company had committed to a 3% improvement in North American net margin. Management believed there was an opportunity to improve the effectiveness of their >$1B equipment maintenance spend, but was unclear on where and how to achieve savings.
Strategy& helped the client pinpoint inefficiencies in their maintenance operating model, shifting from a highly reactive and siloed operation to an integrated team using advanced techniques to deliver maintenance when and where needed based on data. The changes were substantial as the client reorganized to break down functional barriers and create a maintenance process focused on customer performance.
Results were impressive — the maintenance transformation program was implemented at the top 80% of locations by revenue, resulting in a ~2% boost to net margins. It also drove a 20% reduction in maintenance cost, 50% reduction in maintenance related downtime, and improved customer service.
General and administrative (G&A) operations
The securities servicing division of a global banking group sought to address business challenges like reduced productivity, sub-optimal operating model for its Center of Excellence (CoE), lack of process standardization, cost escalation, process fragmentation, and duplication. Strategy& was asked to help in accelerating execution and benefits delivery through process optimization, offshoring and redesign of operating model.
Strategy& developed initial hypothesis through a detailed current state analysis, using both quantitative and qualitative tools, and conducted workshops to identify quick win opportunities. We proposed a redesigned operating model for the CoEs, and suggested in-depth implementation plan to drive the changes.
The project identified potential cost saving of $10M per annum and recommended lean FTE allocation across locations. The project also identified opportunities to achieve process efficiency and provided detailed target state structure of the CoE, including team size, shift patterns, and processes performed.
Enterprise-wide operational excellence
A leading tier-1 automotive supplier for the production and processing of rubber, plastics and metal with $680MM. sales revenue faced significant growth rates, but structures, process efficiency and financial performance did not follow accordingly and significant refinancing/cash flow complications evolved.
Strategy& was tasked with reshaping the company starting from product-market-strategy, developing the organizational structure and optimizing the entire process and operations landscape. An overall restructuring concept based on two pillars was developed: 1) Urgent short-term actions focusing on firefighting to ensure customer satisfaction and 2) sustainable long-term measures facilitating the optimization of the company’s footprint, product creation process, sales initiatives as well as lean production initiatives and the definition of an overall production system.
Continued success of these measures was ensured through the implementation of a common reporting structure and escalation process to track progress and define counter measures in case of deviations. The highly successful project identified cost saving initiatives worth more than $135MM. and had the client achieving EBIT margins of 6-8% during the project.
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The case is centered around the timeline of the Telangana graduates’ MLC elections 2021, which were held against the backdrop of a known unknown: the COVID-19 pandemic. The electoral officials had to be mindful of the numerous security protocols and complexities involved in implementing the election process in such uncertain times. They had to incorporate additional steps and plan for contingencies to mitigate risks while executing the election process. Halfway through the election planning process, it became clear that the number of voters and candidates was unprecedentedly large. This unexpected development necessitated a revision of the prior plan for conducting the elections. Shashank Goel, Chief Electoral Officer (CEO), and M. Satyavani, Deputy CEO, were architecting the plan for conducting the elections with an unexpectedly large number of voters and candidates under pandemic-induced disruptions. Goel was also reflecting on how to develop contingency plans for these elections, given the uncertainty produced by unforeseen external factors and the associated risks. Although he had the mandate to conduct free and fair elections within the stipulated timelines and was assured that the required resources would be provided, several factors had to be considered. According to the constitutional guidelines for the graduates' MLC elections, qualified and registered graduate voters could cast their vote by ranking candidates preferentially. Paper ballots had to be used because electronic voting machines (EVMs) could not handle preferential voting. The scale and magnitude of the elections necessitated jumbo ballot boxes. To manage the process, the number of polling stations had to be increased, and manpower had to be trained. Further, the presence of healthcare workers to ensure the safety of voters and the deployed staff was imperative. The Telangana CEO’s office had to meet the increased logistical and technical requirements and ensure high voting turnouts while executing the election process.
Postponing the election was not an option for the ECI from the standpoint of the legal code of conduct. The Telangana CEO's office prepared a revised election plan. The project plan was amended to incorporate the need for additional resources and logistical support to execute the election process. As the efforts of the staff were maximized effectively, the elections could be conducted smoothly and transparently although a large number of candidates were in the fray.
Teaching and Learning Objectives:
The key case objectives are to enable students to:
- Appreciate the importance of effective project management, planning, and execution in public administration against the backdrop of uncertainties and complexities.
- Understand the importance of risk identification, risk planning, and prioritization.
- Learn strategies to manage various project risks in a real-life situation.
- Identify the characteristics of effective leadership in times of crisis and the key takeaways from such scenarios
The case is designed to be used in courses on Nonprofit Operations Management, Data Analytics, Six Sigma, and Business Process Excellence/Improvement in MBA or Executive MBA programs. It is suitable for teaching students about the common problem of lower rates of volunteerism in nonprofit organizations. Further, the case study helps present the importance and application of inferential statistics (data analytics) to identify the impact of various factors on the problem (effect). The case is set in early 2021 when Shefali Sharma, the Strategy and Learning Manager with Teach For India (TFI), faced a few challenging questions from a professor at the Indian School of Business (ISB) during her presentation at an industry gathering in Hyderabad, India. Sharma was concerned about the low matriculation rate of TFI fellows, despite the rigorous recruitment, selection, and matriculation (RSM) process. A mere 50-60% matriculation rate was not a commensurate return for an investment of INR 6.5 million and the massive effort put into the RSM process. In 2017, Sharma organized focused informative and experiential events to motivate candidates to join the fellowship, but it was not very clear if these events impacted the TFI matriculation rate. After the industry gathering at ISB, Sharma followed up with the professor to seek his guidance in performing data analytics on the matriculation data. Sharma wondered if inferential data analysis could help her understand which demographic factors and events impact the matriculation rate.
Learning Objective
- Illustrate the importance of inferential statistics as a decision support system in resolving business problems
- Formulating and solving a hypothesis testing problem for attribute (discrete) data
- Visually depicting the flow of work across different stages of a process
In response to the uncontrollable second wave of COVID-19 in the south Indian state of Telangana in April 2021, a few like-minded social activists in the capital city of Hyderabad came together to establish a 100-bed medical care center to treat COVID-19 patients. The project was named Ashray. Dr. Chinnababu Sunkavalli (popularly known as Chinna) was the project manager of Project Ashray. In addition to the inherent inadequacy of hospital beds to accommodate the growing number of COVID- 19 patients till March 2021, the city faced a sudden spike of infections in April that worsened the situation. Consequently, the occupancy in government and private hospitals in Hyderabad increased by 485% and 311%, respectively, from March to April. According to a prediction model, Chinna knew that hospital beds would be exhausted in several parts of the city in the next few days. The Project Ashray team was concerned about the situation. The team met on April 26, 2021, to schedule the project to establish the medical care center within the next 10 days. The case is suitable for teaching students how to approach the scheduling problem of a time- constrained project systematically. It helps as a pedagogical aid in teaching management concepts such as project visualization, estimating project duration, float, and project laddering or activity splitting, and tools such as network diagrams, critical path method, and crashing. The case exposes students to a real-time problem-solving approach under uncertainty and crises and the critical role of NGOs in supporting the governments. Alongside the Project Management and Operations Management courses, other courses like Managerial decision-making in nonprofit organizations, Health care delivery, and healthcare operations could also find support from this case.
Learning Objectives:
To learn: Time-constrained projects and associated scheduling problems Project visualization using network diagrams Activity sequencing and converting sequential activities to parallel activities Critical path method (early start, early finish, late start, late finish, forward pass, backward pass, and float) to estimate a project's overall duration Project laddering to reduce the project duration wherever possible Project crashing using linear programming
The case goes on to describe the enormous challenges involved in building the 4.94 km long Bogibeel Bridge in the North Eastern Region (NER) of India. When it was finally commissioned in 2018, it was hailed as a marvel of engineering. With two rail lines and a two-lane road over it, the bridge spanned the mighty Brahmaputra river. The Bogibeel Bridge was India's longest and Asia's second-longest road and rail bridge with fully-welded bridge technology that met European codes and welding standards. The interstate connectivity provided by the bridge enabled important socio-economic developments in the NER that included improved logistics and transportation, the growth of medical and educational facilities, higher employment, and the rise of international trade and tourism. While the outcomes of the project were significant, the efforts that went into constructing the Bogibeel Bridge were equally so. This case study is designed to teach the importance of effective risk planning in project management. Further, the case introduces students to earned value analysis and project oversight in managing large projects. The case centers on Indian Railways' need to quickly discover why the Bogibeel project was not going according to plan. The case also serves as a resource to teach public operations management where the focus is on projects and operations that result in socio-economic outcomes.
- Appreciate the importance of risk planning and risk prioritization and learn strategies to manage various project risks
- Understand earned value management (EVM) and the associated metrics and calculations for project evaluation on time and cost schedules.
- Identify social impact outcomes in public/infrastructure projects.
Access to clean water is so critical for development and survival that the United Nations' Sustainable Development Goal number 6 (SDG-6) was to ensure availability and sustained management of water and sanitation. The World Health Organization (WHO) in 2006 estimated that 97 million Indians lacked clean and safe water. Fluoride and total dissolvable solids (TDS) in drinking water were dangerously high at many parts of rural India, with adverse impacts. On the other hand, buying clean drinking water from commercial vendors at market rates was not a realistic alternative, a costly recurring expense that much of India's rural population could not afford. The case tracks the efforts of Huggahalli, head of the technology group of Sri Sathya Sai Seva Organisations (SSSO), to devise a sustainable solution to the drinking water problem in rural India that is low on cost, high on impact. They eventually develop a model that satisfies all these criteria and becomes the basis for a project called Premamrutha Dhaara. Funded by Sri Sathya Sai Central Trust, the project aims to install water purification plants in more than 100 villages spanning six states in India, with the ultimate goal of turning over plant operations to the beneficiary villages and setting up a welfare fund in each village from the revenue generated. Social service projects, particularly in developing countries, have their unique challenges. The case highlights the importance of performing feasibility analysis as part of the project planning in social projects. The case also describes how the financial and operational dimensions of sustainability could lead to a self-sustainable system. The social innovation framework used to deploy the water purification project to achieve broader rural welfare has wider implications for project management, social innovation and change, sustainable operations management, strategic non-profit management, and public policy.
The case offers four possibilities for central objectives:
- To perform feasibility analysis in a Project Management course
- To design a social innovation framework in a Social Innovation and Change course
- To understand the dimensions of self-sustainability in a Sustainable Operations Management course
- To measure social impact in Strategic Non-profit Management and Public Policy courses
During the Indian general election of 2019, the Nizamabad constituency in Telangana state found itself in an unprecedented situation with a record 185 candidates competing for one seat. Most of these candidates were local farmers who saw the election as a platform for raising awareness about local issues, particularly the perceived lack of government support for guaranteeing minimum support prices for their crops. More than 185 candidates had in fact contested elections from a single constituency in a handful of elections in the past. The Election Commission of India (ECI) had declared them to be "special elections" where it made exceptions to the original election schedule to accommodate the large number of candidates. However, in the 2019 general election, the ECI made no such exceptions, announcing instead that polling in Nizamabad would be conducted as per the original schedule and results would be declared at the same time as the rest of the country. This presented a unique and unexpected challenge for Rajat Kumar, the Telangana Chief Electoral Officer (CEO) and his team. How were they to conduct free and fair and elections within the mandated timeframe with the largest number of electronic voting machines (EVMs) ever deployed to address the will of 185 candidates in a constituency with 1.55 million voters from rural and semi-urban areas? Case A describes the electoral process followed by the world's largest democracy to guarantee free and fair elections. It concludes by posing several situational questions, the answers to which will determine whether the polls in Nizamabad are conducted successfully or not. Case B, which should be revealed after students have had a chance to deliberate on the challenges posed in Case A, describes the decisions and actions taken by Kumar and his team in preparation for the Nizamabad polls and the events that took place on election day and afterward.
To demonstrate how a quantitative approach to decision making can be used in the public policy domain to achieve end goals. To learn how resource allocation decisions can be made by understanding the scale of the problem, the various resource constraints, and the end goals. To discover operational innovations in the face of regulatory and technical constraints and complete the required steps. To understand the multiple steps involved in conducting elections in the Indian context.
Set in April 2017, this case centers around the digital technology dilemma facing the protagonist Dr. Vimohan, the chief intensivist of Prashant Hospital. The case describes the critical challenges afflicting the intensive care unit (ICU) of the hospital. It then follows Dr. Vimohan as he visits the Bengaluru headquarters of Cloudphysician Healthcare, a Tele-ICU provider. The visit leaves Dr. Vimohan wondering whether he can leverage the Tele-ICU solution to overcome the challenges at Prashant Hospital. He instinctively knew that he would need to use a combination of qualitative and quantitative analysis to resolve this dilemma.
The case study enables critical thinking and decision-making to address the business situation. Assessing the pros and cons of a potential technology solution, examining the readiness of an organization and devising a framework for effective stakeholder and change management are some of the key concepts. Associated tools include cost-benefit analysis, net present value (NPV) analysis, force-field analysis, and change-readiness assessment, in addition to a brief discussion on SWOT analysis.
Set in 2016 in Hyderabad, India, the case follows Puvvala Yugandhar, Senior Vice President at Dr. Reddy's Laboratories (DRL), as he decides what to do about an underperforming production policy at their plants. Adopted a decade earlier, the policy, called Replenish to Consumption -Pooled (RTC-P), had not delivered the expected results. Specifically, the plants had been seeing an increase in production switchovers and creeping buffer levels for certain products, which had led to higher holding costs and lost sales for certain products. A senior consultant had suggested that DRL switch to a demand estimation-based policy called Replenish to Anticipation (RTA), which attempted to address the above concerns by segregating production capacity and updating buffer levels using demand estimates. However, Yugandhar, well aware of the challenges of changing production policies, wanted to explore a variant of RTC-P called Replenish to Consumption -Dedicated (RTC-D), which followed the same buffer update rules as RTC-P but maintained dedicated capacities for a subset of products.
By studying and solving the decision problem in the case, students should be able to better appreciate the challenges involved in making long-term operational changes. It gives them an opportunity to: (1) understand how each input might impact the final decision, and (2) how to weigh each of these inputs in arriving at the final decision.
We crafted the case study "Software Acquisition for Employee Engagement at Pilot Mountain Research " for use in Business Marketing, Buyer Behavior, or Operations Management courses in undergraduate, MBA, or Executive Education programs. The Pilot Mountain Market Research (PMMR) case study provides students with the opportunity to examine how buying decisions can be made utilizing online digital tools that are increasingly available to business-to-business (B2B) purchasing managers. To do so, we created fictitious research studies and data to realistically portray the kinds of information that are publicly available to B2B purchasing managers on the Internet today. In this case study, we introduce students to fit analysis, coding quality technical assessment, sentiment analysis, and ratings & reviews analyses. Students are challenged to integrate findings from these diverse analytical tools, combining both qualitative and quantitative data into concrete employee engagement software (EES) purchasing recommendations.
1. Evolving criteria for selecting a software package for organization-wide procurement in a B2B purchase decision context 2. Appreciate increasing digitalization of businesses 3. Understand importance of employee engagement in organizations and what an organization could do to enhance employee engagement among its workforce 4. Understand decision making processes in the context of digitalisation of businesses
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Case Study: Prescriptive Maintenance Software Helps Saras Improve Business Performance and Drive Operational Excellence
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Saras is the owner of the most complex refinery in the Mediterranean, with 300,000 barrels per day of refining capacity. As part of their digitization program, they were evaluating ways to drive greater reliability in their capital- and asset-intensive refinery operations. They selected Aspen Mtell based on a competitive pilot project selection process which initially focused on critical refinery equipment, such as large compressors and pumps.
Aspen Mtell mines historical and real-time operational and maintenance data to discover the precise failure signatures that precede asset degradation and breakdowns, predict future failures and prescribe detailed actions to mitigate or solve problems.
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After the comprehensive Site Health Review , the client's confidence in managing medical cases at their site significantly increased. Consequently, the client felt not only informed but genuinely empowered to make strategic, well-informed decisions regarding healthcare service management at their site. Through our implemented recommendations, 2.5K employees benefitted across all sites from our tailored medical solutions and the client saved $60K annually.
Case Study: Optimizing Silicon Valley’s Talent with Transfer Pricing Staffing Solutions
MGO brings strategic advantages, cost savings, and efficiency to Silicon Valley's software giants.
Background:
In the fast-paced environment of Silicon Valley, a public software company faced a significant challenge: a shortage of skilled staff for its crucial daily transfer pricing (TP) operations. In response to this critical need, the company sought a reliable firm to provide not only services but a flexible staffing solution.
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Opportunity:
The client needed an immediate and effective solution to maintain their transfer pricing operations without the overhead associated with full-time hires. They wanted quality, efficiency, and a team that could seamlessly integrate into their existing operations under the supervision of their director.
MGO crafted a bespoke staffing solution, dedicating a highly skilled professional to work exclusively on this engagement. This strategic move allowed the client to leverage MGO’s experience as if it were an in-house resource — but without the financial and administrative burdens of employment (such as payroll taxes and benefits). The arrangement highlighted MGO's flexibility and commitment to providing value, offering the client a substantial cost benefit through competitive pricing.
Value to Client:
Over the course of a year, this arrangement not only met but exceeded the client's expectations, demonstrating MGO's capability to deliver specialized staffing solutions that align with the unique needs of high-tech companies in Silicon Valley. The engagement underscored the potential for cost savings and operational efficiencies through outsourcing, setting a precedent for how companies can address staffing shortages in specialized areas like transfer pricing. This solution also highlighted MGO's adeptness in managing and executing transfer pricing tasks for large enterprises with offshore operations.
Transfer Pricing and MGO
MGO approaches outsourcing in a strategic way, emphasizing our team’s readiness to provide tailored solutions to meet the evolving needs of businesses in Silicon Valley and beyond. As companies navigate the complexities of transfer pricing and seek operational efficiencies, MGO remains a trusted advisor, offering flexible staffing solutions to help you achieve your goals.
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Utilities and the Public Sector face historic challenges with aging infrastructure, retiring workforce, rising costs, tightening regulatory requirements, and pressure from ratepayers to reduce rates. These forces are compounded by heightened expectations of customer service and environmental sustainability and the need to find alternative revenue streams to fund transformation. More than ever, optimizing work and asset performance is imperative to providing safe, responsive and cost effective systems of energy and water delivery.
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Artificial intelligence is being used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals.
According to Statista , the artificial intelligence (AI) healthcare market, which is valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. That massive increase means we will likely continue to see considerable changes in how medical providers, hospitals, pharmaceutical and biotechnology companies, and others in the healthcare industry operate.
Better machine learning (ML) algorithms, more access to data, cheaper hardware, and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. AI and ML technologies can sift through enormous volumes of health data—from health records and clinical studies to genetic information—and analyze it much faster than humans.
Healthcare organizations are using AI to improve the efficiency of all kinds of processes, from back-office tasks to patient care. The following are some examples of how AI might be used to benefit staff and patients:
- Administrative workflow: Healthcare workers spend a lot of time doing paperwork and other administrative tasks. AI and automation can help perform many of those mundane tasks, freeing up employee time for other activities and giving them more face-to-face time with patients. For example, generative AI can help clinicians with note-taking and content summarization that can help keep medical records as thoroughly as possible. AI might also help with accurate coding and sharing of information between departments and billing.
- Virtual nursing assistants: One study found that 64% of patients are comfortable with the use of AI for around-the-clock access to answers that support nurses provide. AI virtual nurse assistants—which are AI-powered chatbots, apps, or other interfaces—can be used to help answer questions about medications, forward reports to doctors or surgeons and help patients schedule a visit with a physician. These sorts of routine tasks can help take work off the hands of clinical staff, who can then spend more time directly on patient care, where human judgment and interaction matter most.
- Dosage error reduction: AI can be used to help identify errors in how a patient self-administers medication. One example comes from a study in Nature Medicine , which found that up to 70% of patients don’t take insulin as prescribed. An AI-powered tool that sits in the patient’s background (much like a wifi router) might be used to flag errors in how the patient administers an insulin pen or inhaler.
- Less invasive surgeries: AI-enabled robots might be used to work around sensitive organs and tissues to help reduce blood loss, infection risk and post-surgery pain.
- Fraud prevention: Fraud in the healthcare industry is enormous, at $380 billion/year, and raises the cost of consumers’ medical premiums and out-of-pocket expenses. Implementing AI can help recognize unusual or suspicious patterns in insurance claims, such as billing for costly services or procedures that are not performed, unbundling (which is billing for the individual steps of a procedure as though they were separate procedures), and performing unnecessary tests to take advantage of insurance payments.
A recent study found that 83% of patients report poor communication as the worst part of their experience, demonstrating a strong need for clearer communication between patients and providers. AI technologies like natural language processing (NLP), predictive analytics, and speech recognition might help healthcare providers have more effective communication with patients. AI might, for instance, deliver more specific information about a patient’s treatment options, allowing the healthcare provider to have more meaningful conversations with the patient for shared decision-making.
According to Harvard’s School of Public Health , although it’s early days for this use, using AI to make diagnoses may reduce treatment costs by up to 50% and improve health outcomes by 40%.
One use case example is out of the University of Hawaii , where a research team found that deploying deep learning AI technology can improve breast cancer risk prediction. More research is needed, but the lead researcher pointed out that an AI algorithm can be trained on a much larger set of images than a radiologist—as many as a million or more radiology images. Also, that algorithm can be replicated at no cost except for hardware.
An MIT group developed an ML algorithm to determine when a human expert is needed. In some instances, such as identifying cardiomegaly in chest X-rays, they found that a hybrid human-AI model produced the best results.
Another published study found that AI recognized skin cancer better than experienced doctors. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer. Comparing the results of AI to those of 58 international dermatologists, they found AI did better.
As health and fitness monitors become more popular and more people use apps that track and analyze details about their health. They can share these real-time data sets with their doctors to monitor health issues and provide alerts in case of problems.
AI solutions—such as big data applications, machine learning algorithms and deep learning algorithms—might also be used to help humans analyze large data sets to help clinical and other decision-making. AI might also be used to help detect and track infectious diseases, such as COVID-19, tuberculosis, and malaria.
One benefit the use of AI brings to health systems is making gathering and sharing information easier. AI can help providers keep track of patient data more efficiently.
One example is diabetes. According to the Centers for Disease Control and Prevention , 10% of the US population has diabetes. Patients can now use wearable and other monitoring devices that provide feedback about their glucose levels to themselves and their medical team. AI can help providers gather that information, store, and analyze it, and provide data-driven insights from vast numbers of people. Using this information can help healthcare professionals determine how to better treat and manage diseases.
Organizations are also starting to use AI to help improve drug safety. The company SELTA SQUARE, for example, is innovating the pharmacovigilance (PV) process , a legally mandated discipline for detecting and reporting adverse effects from drugs, then assessing, understanding, and preventing those effects. PV demands significant effort and diligence from pharma producers because it’s performed from the clinical trials phase all the way through the drug’s lifetime availability. Selta Square uses a combination of AI and automation to make the PV process faster and more accurate, which helps make medicines safer for people worldwide.
Sometimes, AI might reduce the need to test potential drug compounds physically, which is an enormous cost-savings. High-fidelity molecular simulations can run on computers without incurring the high costs of traditional discovery methods.
AI also has the potential to help humans predict toxicity, bioactivity, and other characteristics of molecules or create previously unknown drug molecules from scratch.
As AI becomes more important in healthcare delivery and more AI medical applications are developed, ethical, and regulatory governance must be established. Issues that raise concern include the possibility of bias, lack of transparency, privacy concerns regarding data used for training AI models, and safety and liability issues.
“AI governance is necessary, especially for clinical applications of the technology,” said Laura Craft, VP Analyst at Gartner . “However, because new AI techniques are largely new territory for most [health delivery organizations], there is a lack of common rules, processes, and guidelines for eager entrepreneurs to follow as they design their pilots.”
The World Health Organization (WHO) spent 18 months deliberating with leading experts in ethics, digital technology, law, and human rights and various Ministries of Health members to produce a report that is called Ethics & Governance of Artificial Intelligence for Health . This report identifies ethical challenges to using AI in healthcare, identifies risks, and outlines six consensus principles to ensure AI works for the public’s benefit:
- Protecting autonomy
- Promoting human safety and well-being
- Ensuring transparency
- Fostering accountability
- Ensuring equity
- Promoting tools that are responsive and sustainable
The WHO report also provides recommendations that ensure governing AI for healthcare both maximizes the technology’s promise and holds healthcare workers accountable and responsive to the communities and people they work with.
AI provides opportunities to help reduce human error, assist medical professionals and staff, and provide patient services 24/7. As AI tools continue to develop, there is potential to use AI even more in reading medical images, X-rays and scans, diagnosing medical problems and creating treatment plans.
AI applications continue to help streamline various tasks, from answering phones to analyzing population health trends (and likely, applications yet to be considered). For instance, future AI tools may automate or augment more of the work of clinicians and staff members. That will free up humans to spend more time on more effective and compassionate face-to-face professional care.
When patients need help, they don’t want to (or can’t) wait on hold. Healthcare facilities’ resources are finite, so help isn’t always available instantaneously or 24/7—and even slight delays can create frustration and feelings of isolation or cause certain conditions to worsen.
IBM® watsonx Assistant™ AI healthcare chatbots can help providers do two things: keep their time focused where it needs to be and empower patients who call in to get quick answers to simple questions.
IBM watsonx Assistant is built on deep learning, machine learning and natural language processing (NLP) models to understand questions, search for the best answers and complete transactions by using conversational AI.
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This article reviews the case study research in the operations management field. In this regard, the paper's key objective is to represent a general framework to design, develop, and conduct case study research for a future operations management research by critically reviewing relevant literature and offering insights into the use of case method in particular settings.
Operations Management. Browse operations management learning materials including case studies, simulations, and online courses. Introduce core concepts and real-world challenges to create memorable learning experiences for your students.
Master of Science in Management Studies. Combine an international MBA with a deep dive into management science. A special opportunity for partner and affiliate schools only. ... Operations Management Case Studies. Teaching Resources Library A Background Note on "Unskilled" Jobs in the United States - Past, Present, and Future
CASE STUDY 24 Uber Technologies, Inc. 24 VIDEO CASE STUDIES 24 Frito-Lay: Operations Management in Manufacturing 24 Hard Rock Cafe: Operations Management in Services 25 Celebrity Cruises: Operations Management at Sea 26 Endnotes 26 Bibliography 26 Chapter 1 Rapid Review 27 Self Test 28 Chapter 2 Operations Strategy in a Global Environment 29
In areas related to operations management, such as com-puter science, the term 'case study' is often used to refer to the performance of a system 'under' certain conditions. This can be the understanding in the context of simulation or optimisation, 2016 informa uK limited, trading as taylor & Francis group.
Representing a broad range of management subjects, the ICMR Case Collection provides teachers, corporate trainers, and management professionals with a variety of teaching and reference material. The collection consists of Operations case studies and research reports on a wide range of companies and industries - both Indian and international, cases won awards in varies competitions, EFMD Case ...
A few years ago, I wrote an editorial article like this on case studies in operations management (Childe Citation 2011), looking briefly at what can be learned from cases and encouraging researchers to publish cases in this Journal.That article proved to be surprisingly popular and after five years, it seems worthwhile revisiting the subject.
This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other organizations in which decision making is an important component of their daily operations.
What makes Operations Management, 10 th edition work so well? Clear structure, thanks to the 4 Ds model of Operations Management. Real-life examples that are shown in the Operations in Practice boxes and case studies. Worked examples that blend qualitative and quantitative perspectives. Critical commentaries, posing alternative views where ...
Preview. The Ivey Casebook Series is a co-publishing partnership between SAGE Publications and the Richard Ivey School of Business at The University of Western Ontario. Due to their popularity in more than 60 countries, approximately 200 new cases are added to the Ivey School of Business library each year. Each of the casebooks comes equipped ...
by Rachel Layne. Many companies build their businesses on open source software, code that would cost firms $8.8 trillion to create from scratch if it weren't freely available. Research by Frank Nagle and colleagues puts a value on an economic necessity that will require investment to meet demand. 27 Feb 2024.
HBS Case Selections. Get the perspectives and context you need to solve your toughest work problems with these immersive sets of real-world scenarios from Harvard Business School.
Exercise 16. At Quizlet, we're giving you the tools you need to take on any subject without having to carry around solutions manuals or printing out PDFs! Now, with expert-verified solutions from Operations Management 14th Edition, you'll learn how to solve your toughest homework problems. Our resource for Operations Management includes ...
Find step-by-step solutions and answers to Operations Management - 9780273787075, as well as thousands of textbooks so you can move forward with confidence. ... Case Study. Page 265: Video Case 1. Page 266: Video Case 2. Page 268: Self Test. Exercise 1. Exercise 2a. Exercise 2b. Exercise 3a. Exercise 3b. Exercise 4a. Exercise 4b. Exercise 5 ...
They cover different aspects of supply chain management and feature a broad range of companies and situations. SCM case study examples would include an SCM selection project for a manufacturer, or an SCM implementation for a distributor or logistics provider. SCM case studies also feature TEC's own case studies, showing how we've helped ...
Download Free PDF. Journal of Business Case Studies - Third Quarter 2007 Volume 3, Number3 Case Study In Operations Management Victoria L. Figiel, (E-mail: [email protected]), Troy University James M. Whitlock, (E-mail: [email protected]), Troy University ABSTRACT This case study is conducted within the context of the Theory of Constraints.
Fifty four percent of raw case users came from outside the U.S.. The Yale School of Management (SOM) case study directory pages received over 160K page views from 177 countries with approximately a third originating in India followed by the U.S. and the Philippines. Twenty-six of the cases in the list are raw cases.
Strategy& was tasked with reshaping the company starting from product-market-strategy, developing the organizational structure and optimizing the entire process and operations landscape. An overall restructuring concept based on two pillars was developed: 1) Urgent short-term actions focusing on firefighting to ensure customer satisfaction and ...
The case is designed to be used in courses on Nonprofit Operations Management, Data Analytics, Six Sigma, and Business Process Excellence/Improvement in MBA or Executive MBA programs. It is suitable for teaching students about the common problem of lower rates of volunteerism in nonprofit organizations. Further, the case study helps present the ...
Production and Operations Management Case Studies. Case 1: Product Development Risks. You have the opportunity to invest INR 100 billion for your company to develop a jet engine for commercial aircrafts. Development will span 5 years. The final product costing Rs. 500 million / unit could reach a sales potential, eventually of Rs. 2500 billion.
The collection consists of case studies on a wide range of companies and industries - both Indian and international. ICMR is involved in business research, management consulting, and the development of case studies and courseware in management. ICMR also provides knowledge process outsourcing services to international clients.
SAMPLE CASE STUDIES - OPERATIONS Case Study 1 Make Versus Buy Case ABC Ltd. is a manufacturing company engaged in the manufacturing of valves. They have been in the business for last 3 years and have been manufacturing only one type of valves. They started their business initially with sales of 10,000 valves per month and
Free Operations Cases. Free. Operations Cases. ICMR regularly updates the list of free cases. To view more free cases, please visit our site at frequent intervals.
As part of their digitization program, they were evaluating ways to drive greater reliability in their capital- and asset-intensive refinery operations. They selected Aspen Mtell based on a competitive pilot project selection process which initially focused on critical refinery equipment, such as large compressors and pumps.
Consequently, the client felt not only informed but genuinely empowered to make strategic, well-informed decisions regarding healthcare service management at their site. Through our implemented recommendations, 2.5K employees benefitted across all sites from our tailored medical solutions and the client saved $60K annually.
This solution also highlighted MGO's adeptness in managing and executing transfer pricing tasks for large enterprises with offshore operations. Transfer Pricing and MGO. MGO approaches outsourcing in a strategic way, emphasizing our team's readiness to provide tailored solutions to meet the evolving needs of businesses in Silicon Valley and ...
KloudGin's adaptable single-engine, one cloud solution brings your asset and work management processes into the Digital Age. With an interface and AI-powered system designed uniquely for field workers, KloudGin connects customers, employees, sub-contractors, smart devices and assets with intuitive real-time access to information online or ...
Elevate your field service operations with our best-in-class scheduling and optimization engine. Built on the Hyperforce platform, Enhanced Scheduling and Optimization automates scheduling while aligning with priorities and constraints. It ensures efficient resource allocation, minimizes travel time, and complies with service-level agreements.
4. Support and maintenance Choose a Canadian AutoStore supplier that offers ongoing support and maintenance services. A well-maintained system is essential for uninterrupted operations, and responsive technical support can save you time and money in the long run.
A recent study found that 83% of patients report poor communication as the worst part of their experience, demonstrating a strong need for clearer communication between patients and providers. AI technologies like natural language processing (NLP), predictive analytics, and speech recognition might help healthcare providers have more effective communication with patients.