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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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An Enterprise Risk Management Model for Supply Chainsradition, model size, and the difficulty in measuring the stochastic parameters. We show that a stochastic program provides an ideal framework for optimizing 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 plaus
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On the Quadratic Programming Approach for Hub Location Problemsoncerned with identifying appropriate hub locations in a network and connecting an efficient hub-and-spoke network that minimizes the flow-weighted costs across the network. This chapter is focused on the uncapacitated single allocation .-hub median problem (USA.HMP), which arises in many real-world
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Nested Partitions and Its Applications to the Intermodal Hub Location Problem chapter, we provide a brief review of the NP method and its applications. We then present a hybrid algorithm that integrates mathematical programming with the NP framework. The efficiency of the hybrid algorithm is demonstrated by the intermodal hub location problem (IHLP), a class of discrete faci
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A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demandry management under uncertainty assumes the precise knowledge of the underlying probabilities, such information is difficult to obtain for time-varying processes in many real-life applications, as the evolution over time of the deterministic seasonal trend interferes with the analysis of the stochas
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Logic-based MultiObjective Optimization for Restoration Planningbe undertaken to restore service, and then scheduling those tasks using the available resources. This chapter discusses combining mathematical programming and constraint programming into multiple objective restoration planning in order to schedule the tasks that need to be performed. There are three
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Collaboration in Cargo Transportationiscussing the current industry settings that make such collaborations beneficial, we present a set of questions that need to be answered in the collaborative setting. These questions deal with issues such as (i) what is the maximum benefit the collaboration can achieve? (ii) How should these benefit
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