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1 – 10 of 461Peeyush Pandey and Tuhin Sengupta
The subject areas are Operations Management, Operations Research, Transportation and Logistics.
Abstract
Subject area
The subject areas are Operations Management, Operations Research, Transportation and Logistics.
Study level/applicability
The following courses (MBA/Post Graduate level) can use the case as part of their teaching material: Applied Forecasting Techniques; Optimization Methods; Operations Research.
Case overview
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.
Expected learning outcomes
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.
Supplementary materials
Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.
Subject code
CSS 9 Operations and logistics
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This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.
Abstract
Subject area
This case study intends to add knowledge and understanding of supply chain management particularly with respect to international logistics.
Study level/applicability
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.
Case overview
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.
Expected learning outcomes
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.
Supplementary materials
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.
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Devendra Dhagarra, Mohit Goswami and PRS Sarma
Forecasting.
Abstract
Subject area
Forecasting.
Study level/applicability
The case is intended for Postgraduate level management students.
Case overview
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.
Expected learning outcomes
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.
Supplementary materials
Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.
Subject code
CSS 9: Operations and Logistics.
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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…
Abstract
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.
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Abdul Rehman Shaikh and Asad Ali Qazi
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…
Abstract
Learning outcomes
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.
Case overview/synopsis
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.
Complexity academic level
BBA
Supplementary materials
Teaching Notes are available for educators only.
Subject code
CSS: 3 Entrepreneurship
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In early December 2013, Roxann Biller, Associate at the Chicago-based private equity firm Delta Quantitative Real Estate Capital, was asked to assess the risk associated with the…
Abstract
In early December 2013, Roxann Biller, Associate at the Chicago-based private equity firm Delta Quantitative Real Estate Capital, was asked to assess the risk associated with the firm's first potential overseas investment. Haifu Sentā Gendaino (HSG) was a large multi-tenant logistics property located in the Gaikando area of Tokyo. High-quality tenants currently occupied the property, so at first glance the risks of investing in the property seemed minimal. However, Biller knew that she had to consider the potential drawbacks. This would mean gaining a better understanding of each tenant, trying to forecast the future condition of the Tokyo logistics market, and considering what new risks her firm would face because the property's cash flows were in a foreign currency.
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In early 2018, Diana Mulhall was undertaking a career change that would eliminate the need for frequent business trips to Toronto. As a result, she wondered whether she should…
Abstract
In early 2018, Diana Mulhall was undertaking a career change that would eliminate the need for frequent business trips to Toronto. As a result, she wondered whether she should sell her condo in the heart of the Canadian city or keep it as a rental property to generate income for herself. The housing market in Toronto was booming, so Mulhall believed that the condo would fetch top dollar as a sale. She also thought it would be easy to attract tenants if she kept it as a rental. She had invested in rental property before but never outside of her hometown of Chicago, so Mulhall needed to identify the key risks associated with being a landlord in Toronto.
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Risk managers have more tools than ever to help protect their companies from risk. Complex financial instruments, intricate mathematical models, and access to massive amounts of…
Abstract
Risk managers have more tools than ever to help protect their companies from risk. Complex financial instruments, intricate mathematical models, and access to massive amounts of data can help the risk manager structure a multifaceted strategy to decrease volatility and protect the company from a catastrophic event. However, these tools have their own risks that can complicate a risk manager's job.
Analyzing corn price volatility helps students understand four best practices for risk managers, regardless of the specific risks they face or the strategies they employ: quantify the company's exposure; understand the nature of the risk; understand how the hedge works in practice; and separate hedging and speculation.
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This case will help students to understand the following: Develop a basic understanding of competency building processes. Learn about the mentoring process and its application in…
Abstract
Learning outcomes
This case will help students to understand the following: Develop a basic understanding of competency building processes. Learn about the mentoring process and its application in leadership development. Develop awareness about the methodology for assessment of the effectiveness of training.
Case overview/synopsis
Dr A. R. K. Pillai founded the Indian Leprosy Foundation in 1970 in response to the national call by late Mrs Indira Gandhi, prime minister of India, to the public-spirited people to take up leprosy eradication. It collaborated with international agencies to reduce leprosy drastically in India from four million, in 1982 to around a hundred thousand cases in 2006. In 2006, the Indian Leprosy Foundation was renamed as Indian Development Foundation (IDF) as the trustees decided to expand the work of IDF in the areas of health, children’s education and women’s empowerment. Dr Narayan Iyer, Chief Executive Officer (CEO) of IDF initiated a leadership development intervention called the Students’ leadership programme (SLP) for children in the age group of 12 to 14, from the urban poor households in 2014. It was a structured mentoring programme spanning over three months in collaboration with the schools. It aimed at incubating skills in the areas of leadership, teamwork, personality, behavioural traits and provided career guidance. It had a humble beginning in 2014 with a coverage of 50 students. Initially, IDF welcomed executives from the corporate sector as mentors. As there was a need to rapidly expand the scope of SLP to the other cities of India, IDF tied up with the graduate colleges and invited the students to be the mentors. The other objective behind this move was to create social awareness among the students from more affluent strata of society. IDF was able to dramatically increase the participation of the students through SLP by approximately up to 100,000 by 2020. However, rapid progress threw up multiple challenges. The teachers complained about the non-availability of the students for regular classes to teach the syllabus as the students were busy with SLP. The schools forced IDF to shorten the duration of SLP to two months. Also, many undergraduate mentors were unable to coach the participants due to lack of maturity and found wanting to strike a rapport with them. There was a shortage of corporate executives who volunteered for the mentoring, due to work pressures. Dr Narayan, CEO & National Coordinator and Ms Mallika Ramchandran, the project head of SLP at IDF, were worried about the desired impact of SLP on the participants and its sustainability due to these challenges. So, with the support of Dr Narayan, she initiated a detailed survey to assess the ground-level impact of SLP. The objective was to get clarity about what was working for SLP and what aspects needed to improve, to make the programme more effective. Overall feedback from the survey was very positive. The mothers had seen very positive changes in the participants’ behaviour post-SLP. The teachers had specific concerns about the effectiveness of undergraduate mentors. The need for a refresher course to inculcate ethical behaviour and the inadequacy of the two-month duration of the SLP to reinforce values were highlighted. Respondents also voiced the requirement to build responsible citizenship behaviours among the participants. Mallika was all for preparing a model to further enhance the effectiveness of SLP. Dr Narayan and Mallika embraced the challenge and they were raring to go to develop SLP as a cutting-edge leadership programme and to take it to new heights.
Complexity academic level
This case can be used in courses on human resource management in postgraduate and graduate management programmes. It can also be used in the general and development management courses and during executive education programmes to teach methodologies for evaluating the effectiveness of the training interventions, with emphasis on the voluntary sector.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 6: Human Resource Management.
Details
Keywords
Mohanbir Sawhney, Lisa Damkroger, Greg McGuirk, Julie Milbratz and John Rountree
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…
Abstract
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.
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