Titlebook: Optimization and Logistics Challenges in the Enterprise; Wanpracha Chaovalitwongse,Kevin C. Furman,Panos M. Book 2009 Springer-Verlag US 2

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The Stochastic Vehicle Routing Problem for Minimum Unmet Demandis MIP and simulations are conducted to evaluate the quality of routes generated from both deterministic and chance constrained formulations. We observe that chance constrained routes can reduce the unmet demand by around 2%-6% for moderately tight deadline and total supply constraints.

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An Enterprise Risk Management Model for Supply Chainsimizing a large supply chain in the face of an uncertain future. The goal is to reduce disruptions and to minimize expected costs under a set of plausible scenarios. We illustrate the methodology with a global production problem possessing currency movements.

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Book 2009der for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an

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1931-6828 ces in computational optimization.In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply cha