Search results

Students should be able to: identify the elements of business processes; analyze efficiency measures; identify and define causes of poor efficiency in business process; analyze the results of a simulation model; propose process redesign alternatives based on the analysis; and acknowledge the challenges for improving public service processes.

The process to get a passport seems to be very simple, but Jose Hernandez, a Manufacturing Plant Director, has had bad experiences the past three times he has visited the passport office. He and his family have spent more than 3 h to get the passport for his little daughter, Maria. In this case, the authors illustrate the process analysis performed by Jose to find effective and efficient solutions to the problems that he found. The case study guides students through the analysis of a business process in public service from the perspective of the users. The students participating in the case analysis will not only learn to diagnose and describe the process but also to redesign it to achieve significant improvements. Furthermore, the students will realize that adding more resources to the process may not solve the fundamental issues, but analytical and creative skills are needed. In addition, the teaching notes provide a discussion about the existing challenges to improve public service processes.

Management and engineering undergraduate programs, operations management and business process design in Master of Business Administration programs.

Teaching Notes are available for educators only.

CSS 9: Operations and Logistics.

Operations management.

Undergraduate and MBA OM courses.

Kiwanis International is a global service organization dedicated to improving the world by helping children. The Durant, Oklahoma chapter holds its primary annual fundraiser the first Tuesday of November, which is also Election Day. The chapter sells and serves fresh pancakes throughout the day; therefore, the event is the Kiwanis Pancake Day. While serving in his first Pancake Day, Robert Howard, a new Kiwanian, notices service operations management issues such as long lines, spiky demand, and customers leaving before being served. Based on his management experience in the grocery business and his academic training in queuing systems, Robert performs an analysis of the system with the purpose of improving service operations.

Perform queuing analysis., Understand demand management., Explain the psychology of waiting.

Teaching notes and spreadsheet–based multiple–server simulator.

The i-AM Tablet is an evolving gadget in a world of fast-paced technological change. Facing a new partnership with a major customer, the market for the i-AM is about to explode! This case explores the innovative concept of Supply Chain Resilience as the CEO of i-AM, Inc, develops a strategic plan for expansion. This case is based on theory and practices evolved at the Dow Chemical Company.

Emerging markets, business models, information technology.

This case is designed for MBA groups or students from MSc in Management, International Business, Logistics, Information Systems or Environmental Management programs. It can be covered in courses on Strategy, Process Management, International Business, Process Management, Supply Chain Management and Managing Information Systems.

Returpack is a Hungarian company dealing with reverse vending machines (RVMs) that collect aluminum beverage cans, even in crushed form, based on a worldwide technology innovation. All RVMs are online and monitored and managed remotely. RVMs are mainly “fed” by the poorest, often homeless people, who are still motivated by the extremely low (less than 1 euro cent for a can) incentive that comes from the selling of the aluminum waste to recycling smelters. Based on the success of the business model in Hungary, projects were planned in the USA, Austria, Romania, and Turkey in 2013. However, beyond economic, legal and cultural challenges, a dramatic decline in the global aluminum waste prices early in 2014 questioned the return on investment at these projects. Advancements in the material-recognition technologies at waste sorting plants raise further questions.

Evaluating the business model innovation in the case by combining the different approaches of the business model concept with the knowledge on the recycling industry, the crowdsourcing method and the Internet of Things. Based upon this, students may identify and evaluate options for implementing the business model in and adapting to new markets, also by simulating these changes in a formal (numerical) business model.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Strategy.

CSS 11: Strategy

The learning outcomes of this paper are as follows: to understand the context of seaport logistics and supply chain design structure, to apply Monte Carlo simulation in the interface of the supply chain and to analyze the Monte Carlo simulation algorithm and statistical techniques for identifying the key seaport logistics factors.

It was 9:00 p.m. on November 10, 2020, and Nishadh Amonkar, the CEO of OCTO supply chain management (SCM) was glued to the television watching the final cricket match of the Indian Premier League, 2020. Amonkar’s mobile phone rang and it was a call from Vinod Nair, a member Logistics Panel of Ranji Industries Federation. Nair informed Amonkar that it was related to the rejection of several export consignments of agricultural products from Ranji (in the western part of India). The rejection was due to the deterioration in the quality of the exported agricultural products during transit from Ranji to various locations in Europe.

This course is suitable at the MBA level for the following courses: Operations research (Focus/Session: Applications on Monte Carlo Simulation). SCM (Focus/Session: Global SCM, Logistics Planning, Distribution Network). Logistics management (Focus/Session: Transportation Planning). Business statistics (Focus/Session: Application of Hypothesis Testing).

Teaching Notes are available for educators only.

CSS 9: Operations and logistics.

Josh Williams is a Student at the NAU who has driven buses on campus and wants to improve the transportation on campus. He is convinced that purchasing a new type of bus that is more fuel efficient, has larger capacity, better designed for boarding, and has a longer life is worth the higher purchase cost. He sets out to prove it by creating a discounted cash flow (DCF) analysis. Since many of the estimates for the DCF analysis are uncertain, he decides to perform a Monte Carlo simulation (MCS) analysis. Students are asked to step into Josh’s role and perform the analysis.

Josh Williams was a Student in the authors’ MBA program. Both authors teach in this program and one author was the Advisor for Net Impact and worked with Josh to present his idea to the university administration. The authors have changed a name or two but otherwise, the case describes a real situation in a real organization without disguise.

The authors have used this case in a first semester MBA-Applied Management course, Decision Modeling and Simulation. Students already have experience with DCF analysis and have been introduced to MCS. With this case, students apply MCS at the conclusion of a three-week module on predictive analytics. Students have run at least two MCS models and have become comfortable with the software. The case would also be appropriate for a senior-level undergraduate course such as business analytics or management science. It might also be useful for other courses that include the MCS modeling technique learning objectives such as project management.

This case provides an opportunity for students to perform an MCS analysis. MCS is useful when many of the inputs to a DCF analysis (or any model) have been estimated and the modeler is concerned that the estimates are uncertain and could perhaps be a range of values. MCS can be used to understand the effect of this uncertainty on NPV which in turn may affect the decision. The case could also be used without MCS focusing just on the DCF analysis with deterministic sensitivity analysis.

Upon completion of the case study, the students will be able to find the challenges and underlying structures that cause the problem; the students will be able to identify the dynamic variables and develop the interconnection and interlinkages among the time-delayed variables to build the story of the business case; the students could develop the block diagram and could build the system dynamics model using the simulation software STELLA, and if they do not have the simulation software, even then they could have a mental model to understand the problem well; the system dynamics students can design the policies to make the system better behaved and recommend solutions; and the students could make mind maps and develop the mental model and could recommend solutions and way forward to overcome the challenges and solve the issues.

Tradeasia is a small-scale manufacturing firm that had started its business activities near Sundar Industrial Estate, Raiwind, in September 2007. The company’s prime focus was to buy the potato starch from chips manufacturing companies and, then, extract the potato starch from the waste potato using its own machinery and sell it as a sizing agent to textile mills. Quality characteristics in terms of better millage and enhanced gullibility made it compatible with Rafhan corn-based starch. The major challenge linked to potato starch was its degree of wetness; the potato starch either extracted from rotten potato or procured from the potato chips manufacturing companies had a high degree of wetness and moisture content. Wet potato starch sometimes had more than 60% moisture content, which was really a challenge. Owing to the high degree of wetness, the wet starch was prone to fungus growth, and within hours, the fungus created toxins if it was not dried immediately, and then after 24 h, toxins acquired a black colour, and they became hardened like pebbles. The starch then was unusable even for sizing purposes for textile products. Reduction in the degree of wetness was really a big challenge and demanded prompt action and high productivity of the operational staff to make that product dry for sale purposes. This was the biggest challenge that ended up in huge inventories of wet starch. Capacity constraints and operational inefficiency killed the company’s productivity and affected the company’s profit.

This case study is written and developed for MBA and MS-level supply chain students of the system dynamics course or those studying management of supply chain complexities. This case study discusses the operational challenges while running the business; huge inventories, capacity constraints and inefficiency in production operations were the challenges associated with almost all manufacturing industries. This case study discussed not only why such challenges are appearing in the business but also the solution that resided in the wisdom shared by the employees in the board meeting. An integrated system dynamics model could be used to design the policies to overcome such challenges. Even the block diagram of the model and causal loop diagram could help to conceptualize the problem and explore the way forward.

Teaching notes are available for educators only.

CSS 7: Management science.

Set in 1999, this case allows students to put themselves in the positions of both Airbus and Boeing as Boeing considered how to respond to Airbus's decision to announce its plans to proceed or not with the $10 billion development of the world's first commercial superjumbo jet, the Airbus A3XX. Boeing was considering a development effort to “stretch” its 747 jumbo jet into a larger superjumbo version, the 747-X. At the time, the two companies’ widely available 20-year forecasts for jumbo- and superjumbo-jet demand were particularly divergent. In light of this very public “agreement to disagree,” Boeing could pursue several alternatives, all of which were related to Airbus's decision about whether or not to develop the A3XX. This case presents an opportunity for students to make a real downstream decision. It was prepared as a final exam for an introductory decision analysis course involving subjective probability assessment, decision tree modeling, simulation, real options, and game theory. In the analysis of this case, a student is expected to utilize ideas from all five of these areas.

A regional director of a consulting firm must decide how to compete for a major consulting contract. Appshop can take a level payment contract, a lower level payment with a prospective bonus given high performance, or bid on an RFP where a significant reward is given contingent on the client's savings. The case can be used to introduce Monte Carlo simulation modeling and to build skills in structuring a decision tree in a spreadsheet. It affords an opportunity to simulate alternative risk profiles and to discuss their comparative advantages.

The case evolves around the Powerball lottery and the rule changes implemented in 2015, which, among other things, changed the chances of winning the jackpot from 1 in 175 million to 1 in 292 million. What is the impact of such rules on lottery revenues? The expected value rule is unable to explain why people play in the first place and fails to give the appropriate weight to the factors that explain the attractiveness of a lottery. This case is ideal to introduce the notion of decision weights as put forward by Kahneman and Tversky's prospect theory. By calculating decision weights, we obtain a reasonable prediction for the willingness to pay for the lottery as a function of different jackpot amounts. Using past data, we can correlate lottery revenues with predicted willingness to pay for a ticket. Quantitative-inclined audiences can then develop a simulation model of how likely it is that the jackpot grows, which, coupled with the prediction of revenues as a function of the jackpot, would give the evolution of the revenues under the new rule. The accompanying spreadsheet provides data for students to work out various scenarios to narrow objectives and maximize revenue from Powerball tickets.