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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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书目名称Optimization and Logistics Challenges in the Enterprise
编辑Wanpracha Chaovalitwongse,Kevin C. Furman,Panos M.
视频video
概述A "one-stop shop” to learn about several industrial problems and logistics challenges and how to go about solving them by using recent advances in computational optimization
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Optimization and Logistics Challenges in the Enterprise;  Wanpracha Chaovalitwongse,Kevin C. Furman,Panos M. Book 2009 Springer-Verlag US 2
描述.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 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 explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise..
出版日期Book 2009
关键词Industrie; Management; SOIA; Simulation; Transport; environment; logistics; model; modeling; optimization; pla
版次1
doihttps://doi.org/10.1007/978-0-387-88617-6
isbn_softcover978-1-4899-8348-0
isbn_ebook978-0-387-88617-6Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer-Verlag US 2009
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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
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