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Illinois Superconductor Corp. a technology start-up, came up with an innovative new superconducting filter for use in cellular base stations. It needed to estimate the demand for its filters. The manager came up with a simple chain-ratio-based forecasting model that, while simple and intuitive, was too simplistic. The company had also commissioned a research firm to develop a model-based forecast. The model-based forecast used diffusion modeling, analogy-based forecasting, and conjoint analysis to create a forecast that incorporated customer preferences, diffusion effects, and competitive dynamics.

To use the data to generate a model-based forecast and to reconcile the model-based forecast with the manager's forecast. Requires sophisticated spreadsheet modeling and the application of advanced forecasting techniques.

This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.

The case study can be used in both undergraduate and postgraduate levels. Students pursuing Master of Science in Logistics, Supply Chain Management and those doing bachelor degrees in the same areas can have a better insight and special interest of the case. Professional boards may also use the case to empirically make students understand this area.

The railway sub-sector in East Africa – Tanzania in particular – is an important transport mode but has a declining performance. The market share is estimated at only 4 percent of the freight market. Still knowledge about traffic, particularly for freight, is scant. The main dilemma is whether traffic of the central corridor is more intra- or inter-Tanzania. The case studies techniques appropriate for meaningful traffic forecasting and through a simple regression model it resolves the freight conflicts between Kenya rail and the Central Corridor. It provides students with applied traffic forecasting tools.

The case focuses on techniques of traffic forecasting, development of traffic scenarios and on issues related to intermodal transport especially between road, rail and ocean. At the end of using this Case students should be able to: explain the methods, techniques and models used in traffic forecasting; understand intermodal linkages in international Logistics; use different approaches to make logistics market assessment; and forecast traffic in all modes using different scenarios.

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

This case was developed solely for the purpose of classroom discussion. Some details of the case, including names of the companies, have been disguised. This case is not intended to serve as endorsements, sources of academic or business data, or illustrations of effective or ineffective management of the personnel or company.

Only when the custodial staff showed up at his office door did Vinod Mehra realize that it was already 3 am. Vinod is the VP of Supply Chain for Dockomo Heavy Machinery Equipment Limited. He had spent the entire night analyzing the data from the spare parts division in Pune, India. It was April 15 and he had just two weeks to go before the annual review of the company.

The spare parts division's growth at Dockomo has slowed down to about 10 percent annually when compared to the growth rate of 20 percent an nually over the previous years. Their cancelled orders stood at a staggering 8 percent due to parts unavailability, but at the same time the inventory in the system was $6 million higher than the previous year. Vinod was unsure of the response he would receive from the board of directors, since the inventory level increased along with the number of cancelled orders.

At the meeting, the board was considerate, but Vinod was asked to conduct an analysis of the shortcomings and prepare a report on the leading causes for the unavailability of parts to the customers. He was also asked to prepare a report on the approach to be followed to fix these problems by the next quarterly meeting. Vinod was already aware of many issues which existed in the supply chain, but he had to go through a complete analysis to gain a clearer understanding of the shortcomings in their distribution processes.

This is the first implementation of Revenue Management System in a major international hotel chain in India. The case describes the history of development, corporate story of overdrive for profit, system integration issues. It describes two components of a revenue management system, forecasting and optimization. It also raises several questions that need to be addressed before implementing a RMS.

Forecasting.

The case is intended for Postgraduate level management students.

The purpose of this case study is to explain various forecasting techniques, their applicability and the importance of forecasting to the students. This case also explains the management situations where the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions. The case is focused on the district of Etah of the state of Uttar Pradesh in India. The real-life situation of elections in this district of an Indian state has been taken to explain the critical nature of forecasting accuracy in a management situation where the manager has only one chance to execute his project. Discussion in this case is limited to explaining various techniques available for forecasting and their applications and does not provide a solution to a management problem.

The students are expected to understand various forecasting methods and the managerial situations where these can be applied. The case also explains situations where it becomes extremely important to have fairly accurate estimates of future requirements and the application of one technique may not be sufficient, thereby explaining the importance of simultaneous usage of qualitative and quantitative techniques for making crucial decisions.

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

CSS 9: Operations and Logistics.

The subject areas are Operations Management, Operations Research, Transportation and Logistics.

The following courses (MBA/Post Graduate level) can use the case as part of their teaching material: Applied Forecasting Techniques; Optimization Methods; Operations Research.

The case details a problem faced by the Gokuldhaam Society. The society was located a great distance from the city, as the majority of the residents who live in the society work in the nearby industrial area. To cater to the daily needs of residents, the society has shuttle buses plying to and from the city at different times during the day. However, due to operational inefficiencies, the administration faced excessive transportation costs. Looking for advice in this regard, the chairman of the society contacted the Head of Department at Operations Management, Indira Institute of Management, Indore hoping to find a way to reduce some of the operational costs.

The expected learning outcomes are as follows: to make the students apply two different stationary time series forecasting techniques to a real-life problem and data set; to make the students carefully choose a specific trend-based time series forecasting technique due to the inherent constraints in the availability of data set; and to make students appreciate the importance of application of linear programming in a time series problem.

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

CSS 9 Operations and logistics

Mahindra Trucks and Buses forayed into India's commercial vehicles sector in 2005. However, they had to battle numerous supply chain challenges associated with introducing a new product (a new truck brand) in the market and to gain a noticeable foothold in the market. In this case, we attempt to align customer brand stickiness with the supply chain expectations from a new product. In particular, we deliberate how the needs of all actors in the supply chain must be met and their interactions must be accounted in developing a robust supply chain. Finally, a supply chain is successful when demand can be matched with supply and the customer's service level can be achieved.

In 2003, ITC responded to the high level of obsolete inventory by shifting risk from finished products to manufacturing and raw materials. This required that their supply chain be much more flexible and responsive than it was in the past. By 2006, changes in the supply chain that included moving manufacturing in-house improved flexibility and responsiveness. Obsolete inventory was significantly reduced and the company was much better at matching supply and demand. Cost, however, continued to be higher than that at third parties. The company had to decide on the appropriate tradeoff between cost and responsiveness when structuring its supply chain.

The case illustrates how Wills has changed its supply chain to become more flexible and responsive. This change, however, has come at a cost. The case requires the students to analyze the tradeoff between cost and responsiveness/flexibility to decide on an appropriate level of flexibility/responsiveness. The case also requires the student to understand the relative value of increased flexibility versus increased responsiveness.

AGL Energy operates in one of the most fiercely competitive markets in the world. Demand is volatile with high customer churn rates and supply procurement is real time with huge price variability. These characteristics make supply chain management difficult and the case study describes how information is used to match supply with demand.

The learning outcomes are as follows: to understand and develop the framework for the selection of location; to understand the resource-based theory (RBT) of entrepreneurship and develop the framework for RBT; to project a firm’s growth path in terms of achieving size; to analyze the important obstacles for same; and to calculate and forecast accurate market demand and customer footfall.

Abdul Jabbar Soomro recently quit his corporate job to achieve one of his dreams. He had always wanted to establish his own business venture and to be a successful entrepreneur. After completing his MBA in 2005, he started his career with one of the multinational companies at a very handsome salary. However, after 10 years of a corporate job, he left the job and started his own food venture. He faced a lot of challenges from his family, but he pursued his dream and started searching for the best location. By October 2015, he was all set and ready for the inauguration of his branch. He received a very positive response from market, and the number of customers kept on increasing on a daily basis. The major reasons behind his success were the environment, ambiance and product quality as promised. After two years of successful operations, Abdul Jabbar Soomro was wondering either to start a new branch or to proceed for expansion and better space management at the existing branch. He was unable to accommodate all the customers at his existing space.

BBA

Teaching Notes are available for educators only.

CSS: 3 Entrepreneurship