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The learning outcomes are to remember the overall context of global supply chain management from a stakeholder perspective, to understand the context of material handling movement in a mining industry, to apply the overall knowledge of linear programming in a supply chain context, to analyze the different constraints with flow of goods at different nodes in various location hubs and convert the same into the optimization problem and to evaluate carefully the different costs associated at different levels and then finding the optimal solution that minimizes the total cost.

This case proposes a mixed integer multi-echelon analytical model integrated with the scenario tree analysis. The integrated model is used to optimize the allocation of volumes at various stages of the supply chain of exporters of bulk materials like iron ore from Goa, India, to various countries in Asia. The scenario tree analysis is then used to evaluate decisions under certainty with demand as the stochastic parameter. The proposed integrated model has potential for collaboration in the supply chain and facilitating network design, inventory and transportation planning and policy analysis.

This course is suitable at the MBA level for the following courses: Operations Research (Focus/Session: Applications on Supply Chain Management), Supply Chain Management (Focus/Session: Global Supply Chain Management, Logistics Planning, Distribution Network), Logistics Management (Focus/Session: Transportation Planning) nd Operations Strategy (Focus/Session: Location Node Strategy).

Teaching Notes are available for educators only.

CSS 9: Operations and Logistics.

Operations Management

MBA/Post Graduate

This case attempts to highlight a very common resource allocation dilemma in a real-life scenario. The majority of today’s problems are solved by the methodology of trial and error. This case shows how a generic trial-and-error solution, if buttressed by a proper quantitative methodology, can have substantial impact on the bottom-line of an organization. The case concentrates on three disparate focus areas in a didactic fashion, namely, the ability to retrieve raw data and convert it into a utilizable form if a quantitative method is to be applied; the ability to comprehend the resource constraints of a typical real-life situation; and the skill required to develop and solve an optimization problem in Excel Solver, a product which can easily be accessed by any practitioner.

Expected learning outcomes are as follows: students learn to formulate a Mixed-Integer programming model; to interpret optimal solutions and appreciate the application of “Optimization”; to recommend a resource allocation strategy; and to understand the importance of cost minimization in organizations.

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

Roger Osayende, a former management consultant, must advise the Ministry of Health of Ektu, a fictional country in Central Africa, on how to implement a new point-of-care diagnostic test for infants with HIV. In Ektu, mothers often transmitted HIV infection to infants during pregnancy, delivery, or breastfeeding due to inadequate resources to invest in prevention efforts. The existing procedure to diagnose infants with HIV required collecting dried blood samples at more than two hundred healthcare facilities around the country and transporting them to a central laboratory in the capital for testing. This process was characterized by significant delays due to long transportation times, batching of samples in transportation and processing in the lab, and concomitant congestion in the lab. This delay resulted in loss to follow-up, that is, lost patients due to mothers not collecting their infants' results. A new point-of-care device was about to be introduced, which would obviate the need for this centralized processing and the resulting diagnostic delay. The key decision under consideration is where to place the devices to maximize their effectiveness.

Understand the importance of making public health decisions based on a data-driven, logical framework   Uncover the link between operational performance of the healthcare system and health outcomes at the population level   Appreciate the relevance of operational decisions in enhancing or diminishing the effectiveness of a medical technology   Use process analysis concepts to characterize various components of delays