Coordination of Supply Chain Inventory Systems with Private Information. (December 2006) Chi-Leung Chu, B.B.A., The Chinese University of Hong Kong; M.B.A., University of New Mexico; M.S., Case Western Reserve University Chair of Advisory Committee: Dr. V. Jorge Leon This dissertation considers the problems of coordinating different supply chain inventory systems with private information under ...

Multiechelon supply chains are complex logistics systems that require flexibility and coordination at a tactical level to cope with environmental uncertainties in an efficient and effective manner. To cope with these challenges, mathematical programming models are developed to evaluate supply chain flexibility. However, under uncertainty, supply chain models become complex and the scope of flex...

In this article we present an effective mixed-integer linear programming (MILP) formulation for design of a multi-echelon stochastic inventory system with uncertain customer demands. In You and Grossmann [2010] a three-echelon supply chain with inventories under uncertainty is presented. In that supply chain, the location of the plants and the customer demand zones (CDZ) are known. Potential di...

This paper explores the differences between demand and supply uncertainty in multi-echelon supply chains. Our central premise is that the insights gained from the study of one type of uncertainty often do not apply to the other. In fact, the two types of uncertainty are in a sense mirror images of each other, in that the optimal strategy for coping with supply uncertainty may be exactly opposit...

Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study supply and distribution networks with environmental considerations. At the operational level, there are, for example, routing and scheduling models which are constrained by carbon emissions. Our paper explores work in tactic...

One area in which experimental economics methods have been used to study operations problems is supply-chain management. We survey results from a series of human experiments based on the popular beer distribution game and find cognitive limitations on the part of managers, in particular an underweighting of the supply line. We suggest mechanisms that may alleviate this bias, including sharing i...

Previous researchers have developed ways of managing forward-oriented supply chains, and gave insight to solve single-stage inventory systems. In this study, we analyze an inventory system with traditional forward-oriented material flow as well as a reverse material flow supply chain. In the reverse material flow, the used products are returned, remanufactured and shipped to the retailer for re...

Supply chains are facing different types of uncertainty associated with today‘s business environment. Uncertainty in the supply chain may arise from a number of sources such as demand and supply interruptions, production/logistics capacity changes and lead time variability. To cope with this problem and lessen the impacts of such uncertainties, an effective strategy is to incorporate flexibilit...

Manufacturing managers face increasing pressure to reduce inventories across the supply chain. However, in complex supply chains, it is not always obviouswhere to hold safety stock to minimize inventory costs and provide a high level of service to the final customer. In this paper we develop a framework for modeling strategic safety stock in a supply chain that is subject to demand or forecast ...