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Upon completion of the case study discussion, successful students will be able to define and list the steps of time-driven activity-based costing system (TDABC); understand and explain the ideas behind the TDABC; implement the TDABC in customer profitability analysis; draw connections among the cost and profitability analysis; evaluate the importance of better costing techniques in profitability analysis; and make managerial decisions based on TDABC analysis.

Gluten Limited’s financial affairs and operations manager, Fatih, was aware that the company was making very little profit from its operations with its biggest customer. The main reason appeared to be that it delivered its products in bulk to the main warehouses of the customer, which then distributed them to the stores. Fatih believed that products were being sent to stores late, so that their expiration dates passed quickly and they ended up being returned.

The case study documents the past year of Gluten Limited’s delivery operations with one of its biggest customers. It focuses on the effectiveness of its delivery operations and ways to increase profitability by reducing sales returns. The case dilemma involves the choices that Fatih faced following a six-month trial period: either delivering products in bulk to the customer’s main warehouses at lower cost but higher return rates or delivering small amounts directly to stores at higher cost but lower return rates. Fatih needed to decide which mode of customer operations was more profitable and continue that way.

Knowing the importance of determining costs properly in profitability analysis, Fatih made the cost calculations using the TDABC system.

This case was written for use in Cost Accounting and Managerial Accounting classes at the undergraduate level. The focus of the case aligns well with discussions of customer profitability analysis, cost reductions, eliminating non-value-added activities, and profitability of operations. Instructors seeking to emphasize the most suitable costing methods for customer profitability analysis could assign this case.

Teaching notes are available for educators only.

CSS 7: Management Science

This disguised case examines the issue of outsourcing to a low-cost country based on a thorough analysis of competitive cost drivers. The case demonstrates that labor cost is only one potential advantage and that transportation cost and other factors could more than offset labor savings in some product lines.

This case is designed to teach how to structure information technology (IT) infrastructure outsourcing deals from both the outsourcer and the client perspective. Office Supply Incorporated (OSI) is a company in crisis, with challenges in its cost structure and poor IT performance. Outsourcing to Technology Infrastructure Solutions is an opportunity to both reduce costs and complexity for the firm, but students first must consider whether outsourcing is a good strategic fit for OSI. Detailed spreadsheet templates are given that are based on a real outsourcing client engagement for a major infrastructure outsourcing company. The spreadsheets are complex but have been simplified so that they automatically calculate when populated, allowing the students to quickly move to answering the management challenge: how should TIS price and structure the outsourcing deal? Answering this question provides deep insights into the business case for IT outsourcing and how outsourcers financially engineer a deal structure to ensure a win-win outcome for both the client and outsource service provider.

Students will: Understand the strategic context of IT outsourcing and when it will benefit a firm; Understand IT infrastructure outsourcing and management issues such as personnel reductions and organizational change; Learn which outsourcing pricing model is the best fit for a project; Create a rigorous cost-benefit financial analysis and ROI model for IT infrastructure outsourcing; Analyze the model and learn how to financially engineer the deal to be a win-win for the outsourcer and client.

This case illustrates the implications of the business challenges faced by an on‐campus student‐run convenience store when an internationally known coffee company opened a competing store. The case exercises focus on the application of managerial accounting concepts relevant for future strategic decision making. Students have the task of extracting relevant data from descriptive information. Using the story of an actual student‐run coffee shop that confronted an emerging competitor and thus necessitating these analyses can provide an attractive alternative to teaching managerial accounting concepts that are often considered by students as “dry.”

Case information was obtained from actual student organization and university data slightly modified to facilitate calculation and application of managerial accounting topics. Identities of the institution, the student run store and the international competitor have been disguised at their request. Certain events and dates have been altered to protect identities.

Relevant courses include but are not limited to: Introductory Managerial Accounting and Cost Accounting at the undergraduate business or accounting and the graduate MBA level.

Teaching opportunities include the application of managerial accounting concepts relevant for future strategic decision making. Topics include cost‐volume‐profit, sales‐mix, and break‐even analyses, conversion of traditional income statements to contribution margin income statements, and internal control issues.

Faeyee Electronics was an electronics company that manufactured and sold smartphones including XS and XT types. The management of Faeyee wanted to pursue the maximum contribution margin as much as possible, especially since they were faced with limited resources. It was necessary to apply analytical tools and cost accounting concepts to study this case including cost-volume-profit analysis, learning curve analysis, regression analysis, definitions of competitive products, constrained non-linear optimization, and contribution margin.

The case uses business analytics tools and cost accounting concepts, including regression models and constrained optimization approaches, to study how to maximize business outcomes, such as contribution margin and profits when limited business resources are available. The company and individuals are disguised.

This case can be used in any junior-, senior-, masters- or MBA-level managerial accounting course. Students need to have at least one course of introduction to statistics or instructors review required statistics concepts or techniques before assigning this case. Students are exposed to the challenges of deriving learning curve models, using regression analysis to study collected data and allocating limited resources to maximize contribution margin.

This case is designed to present students with the challenges of formulating a discounted-cash-flow (DCF) analysis for a strategically important capital-investment decision. Analytically, the problem is representative of most corporate investment decisions, but it is particularly interesting because of the massive size of the American Centrifuge Project and the potential of the project to significantly affect the stock price. Students must determine the relevant cash flows, paying close attention to the treatment of input costs, selling prices, timing of investment outlays, depreciation, and inflation. An important input is the appropriate cost of uranium, which some students argue should be included at book value, while others argue that market value should be used. Although the primary objective of the case is to focus on the estimation of cash flows, students are provided with a straightforward set of inputs to estimate USEC's weighted average cost of capital. The case is designed for students who are learning, or need a refresher on, DCF analysis. Because of the basic issues covered, the case works well with undergraduate, MBA, and executive-education audiences. The case also affords the opportunity to explore a variety of issues related to capital-investment analysis, including relevant costs, incremental analysis, cost of capital, and sensitivity analysis. The case is an excellent example of the value of a firm as the value of assets in place plus the net present value of future growth opportunities.

DSM Manufacturing has been around for 100 years. In that time, the company has grown considerably in size and is now a global enterprise. With the global expanse, DSM is now facing new challenges, leaving executives to determine what the next steps are in running an efficient supply chain, those that a network analysis will not necessarily address. This case illustrates DSM's process

This case is based on a real-life consulting engagement with a major Fortune 100 telecommunications company. The name of the firm has been disguised for confidentiality reasons. Completing the case teaches students how to develop a cost-containment ROI analysis and develop a business case for a large enterprise technology project. The class discussion focuses on strategies to understand and manage the risks of the project and organizational issues. In addition, the case teaches students good questions to ask when reviewing a complex project business case, and how to present a project for funding approval. This case is the second in a series of three cases designed to teach students ROI analysis for technology projects; the first is “B&K Distributors: Calculating Return on Investment for a Web-Based Customer Portal” and the third is the case “ROI for a Customer Relationship Management Initiative at GST.”

The case objective is for students to learn how to compute a return on investment (ROI) analysis for a large cost-containment technology project. Students learn the best practice of computing the range of possible outcomes (the best, worst, and expected case), and how to present the results to senior management. In addition, students learn how to incorporate important management issues of personnel reduction and technology project risk into an ROI analysis.

This case introduces a framework for cost modeling. Two data sets (one for injection-molded plastic parts and another for compressors) allow students to apply the cost-driver framework in conjunction with basic spreadsheet and regression analyses. Although obviously applicable in a course on supply chain management, the case can also be used to teach competitive cost analysis for strategic decision making.

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.