W e study a firm that makes new products in the first period and uses returned cores to offer remanufactured products, along with new products, in future periods. We introduce the monopoly environment in two-period and multiperiod scenarios to identify thresholds in remanufacturing operations. Next, we focus our attention on the duopoly environment where an independent operator (IO) may intercept cores of products made by the original equipment manufacturer (OEM) to sell remanufactured products in future periods. We characterize the production quantities associated with self-selection and explore the effect of various parameters in the Nash equilibrium. Among other results, we find that if remanufacturing is very profitable, the original-equipment manufacturer may forgo some of the first-period margin by lowering the price and selling additional units to increase the number of cores available for remanufacturing in future periods. Further, as the threat of competition increases, the OEM is more likely to completely utilize all available cores, offering the remanufactured products at a lower price.

A global economy and increase in customer expectations in terms of cost and services have put a premium on effective supply chain reengineering. It is essential to perform risk-benefit analysis of reengineering alternatives before making a final decision. Simulation provides an effective pragmatic approach to detailed analysis and evaluation of supply chain design and management alternatives. However, the utility of this methodology is hampered by the time and effort required to develop models with sufficient fidelity to the actual supply chain of interest. In this paper, we describe a supply chain modeling framework designed to overcome this difficulty. Using our approach, supply chain models are composed from software components that represent types of supply chain agents (like retailers, manufacturers, transporters), their constituent control elements (like inventory policy), and their interaction protocols (like message types). The underlying library of supply chain modeling components has been derived from analysis of several different supply chains. It provides a reusable base of domain-specific primitives that enables rapid development of customized decision support tools.

S upply chain management is likely to play an important role in the digital economy. In this paper, we first describe major issues in traditional supply chain management. Next, we focus our attention on the supply chain issues of visibility, supplier relationships, distribution and pricing, customization, and real-time decision technologies that have risen to importance with the prevalence of e-business. We present an overview of relevant analytical research models that have been developed in these areas, discuss their contributions, and conclude with a discussion on future modeling opportunities in this area.

Specialization at work has been recognized as a key driver of learning and productivity since the days of Adam Smith. More recently, researchers have noted that exposure to task variety can enhance learning. We examine how exposure to specialization and variety jointly drive employee productivity in a real-life setting. We analyze a data set covering 88 individuals who worked on 5,711 maintenance tasks in an offshore software support services operation. We find that, as expected, specialization enhances productivity. However, exposure to variety has a nonlinear influence on productivity; i.e., "too much variety" can impede learning. We also find that achieving a proper balance between specialization and exposure to a variety leads to the highest productivity. We capture this balance using an adaptation of the Herfindahl-Hirschman Index from the economics literature. In addition, we examine how the productivity of individuals in a workgroup is affected by member entry and exit, with the latter specified in terms of the degree of specialized experience and the degree of variety experience lost from the workgroup when a member exits. Our analysis reveals that the degree of variety experience lost has a greater impact on productivity than the degree of specialized experience that is lost.project management, organizational studies, productivity, effectiveness-performance, information systems, IT policy and management, outsourcing, learning and productivity