Knowledge that Transforms

The purpose of this paper is to model and analyze supply contracts with periodical commitment, in which the order quantities are fixed and stationary, with limited flexibility to change the order quantity at a cost to the buyer. A solution methodology is provided for the general, stochastic problem, and consideration is given to specific demand distributions. The deterministic model is also investigated, formulating the problem as a mixed‐integer linear program and as a network flow problem. Computational analyses are conducted, and the extension of the basic problem to the multiple‐product, multiple‐constraint problem is discussed.

In this article, we describe the Global Project Coordination Course, a course in which project teams composed of three students from each of two overseas universities execute company‐sponsored projects dealing with global supply chain management issues. The $75,000 to $100,00 contributed in total by the three to four sponsoring companies funds all course expenses. We assess the benefits and challenges of the use of cross‐cultural project teams with diverse educational backgrounds. We conclude that the course provides a unique and effective vehicle for furthering students' knowledge of Supply Chain Management and Information Systems, improving understanding of “soft” issues, and training students to work in diverse, global, cross‐cultural project teams.

We develop analytical models for performance evaluation of Fabrication/Assembly (F/A) systems. We consider an F/A system that consists of an assembly station with input from K fabrication lines. Each fabrication line consists of one or more fabrication stations. The system is closed with a fixed number of items circulating between each fabrication line and the assembly station. We present algorithms to estimate the throughput and mean queue lengths of such systems with exponential processing times. We then extend our approach to analyze F/A systems with general processing time distributions. Numerical comparisons with simulations demonstrate the accuracy of our approach.

To control the production of different parts on a single flow line, managers can choose between the Single‐kanban, Dual‐kanban, and Conwip. This paper therefore compares the three different systems. The results show that Conwip consistently produces the shortest mean customer wait time and lowest total work‐in‐process. Our results also contradict the finding of a previous study, which showed that Dual‐kanban performed better than Single‐kanban. The different findings can, however, be attributed to the use of a material transfer policy, which favors the Dual‐kanban modeled in the previous study. Our study shows that transferring replenished containers immediately to downstream stations, increasing the number of cards, and reducing the withdrawal cycle reduce the mean customer wait time significantly.

This study employs structured interviews in a field setting to develop an in‐depth understanding of how a specific human resource decision affected manufacturing performance at 30 plants using advanced manufacturing technologies. Initial results suggested that there is no relationship between the skill level of operational employees and the level of performance of the installations. When a measure of “fit” between environmental characteristics and skills was employed, however, there was a significant relationship between the fit measure and performance.

The field of POM is steadily expanding its scope. This allows us to pursue interesting new fields of inquiry and makes us ever more relevant to the needs of practitioners. But it also increases the risk that over time our efforts will become fragmented and unfocused, causing us to slowly lose our sense of community and break up into separate camps. In this paper I ask, “What kind of new organizing framework, or ‘architecture,’ will allow us to maintain our sense of community as our interests diverge?” I describe the experience of one academic organization that faced a similar problem several years ago and how the situation was resolved. This experience leads us to propose a possible solution to Pom's emerging problem: engage with real operations managers and focus our efforts on helping them deal with the actual problems they are facing in today's complex and fast‐changing world.

This paper describes an Internet implementation of the Beer Distribution Game. Many teachers demonstrate the bullwhip effect that is often observed in supply chains by playing this game with their students. This implementation has the advantage of considerably reducing the time required to play the game.

The rise of global markets and increasingly virtual companies has focused management attention on competition between supply chains. Many schools of management and engineering are adopting integrated curricula that prepare students to design and manage the resulting complex global web of material and information flows. In this paper, we examine the curricula used by many top engineering and graduate business schools for courses in supply chain management. We present a framework for supply chain management and highlight supporting material and pedagogy. We also classify popular supply chain case studies within our framework and provide useful References to recent business press treatment of these issues.

By focusing on the management of entire value chains, supply chain management has gained increasing popularity in management research and in the teaching of global businesses. The right practices can take companies to great heights; lack of attention can draw companies close to peril. In teaching supply chain management to business executives, there are four major issues that need to be highlighted: flawless execution of operations, the change from supply to demand focus, outsourcing and supply base development, and partnership implementation. This article explains these four issues, and the material that is developed at IMD to teach each of them.

Traditionally, the problems of equipment maintenance scheduling and production scheduling in a multi‐product environment have been treated independently. In this paper, we develop a Markov decision process model that simultaneously determines maintenance and production schedules for a multiple‐product, single‐machine production system, accounting for the fact that equipment condition can affect the yield of different product types differently. The problem was motivated by an application in semiconductor manufacturing. After examining structural properties of the optimal policy, we compare the combined method to an approach often used in practice. In the nearly 6,000 test problems studied, the reward from the combined method was an average of more than 25 percent greater than the reward from the traditional method.