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＜電子ブック＞
Networks Against Time : Supply Chain Analytics for Perishable Products / by Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
(SpringerBriefs in Optimization. ISSN:2191575X)

版	1st ed. 2013.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2013
本文言語	英語
大きさ	IX, 142 p. 25 illus : online resource
著者標目	*Nagurney, Anna author Yu, Min author Masoumi, Amir H author Nagurney, Ladimer S author SpringerLink (Online service)
件　名	LCSH:Operations research LCSH:Management science LCSH:Game theory LCSH:Mathematical models LCSH:Mathematical optimization FREE:Operations Research, Management Science FREE:Game Theory FREE:Mathematical Modeling and Industrial Mathematics FREE:Optimization
一般注記	1. Introduction and Scope -- 2. Blood Supply Chains -- 3. Medical Nuclear Supply Chains -- 4. Food Supply Chains -- 5. Pharmaceutical Supply Chains -- 6. Fast Fashion Apparel Supply Chains -- References.  Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges.  The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications HTTP:URL=https://doi.org/10.1007/978-1-4614-6277-4

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