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010   $a1-299-33671-X
010   $a1-4614-6277-0
024 7 $a10.1007/978-1-4614-6277-4
035   $a(OCoLC)844069975
035   $a(MiFhGG)GVRL6XNT
035   $a(CKB)2670000000326701
035   $a(MiAaPQ)EBC1106321
035   $a(EXLCZ)992670000000326701
100   $a20130211d2013      uy         0
101 0 $aeng
135   $aurun|---uuuua
181   $ctxt
182   $cc
183   $acr
200 00$aNetworks against time $esupply chain analytics for perishable products /$fAnna Nagurney ... [et al.]
205   $a1st ed. 2013.
210   $aNew York $cSpringer$d2013
215   $a1 online resource (ix, 142 pages) $cillustrations
225  0$aSpringerBriefs in optimization
300   $a"ISSN: 2190-8354."
311   $a1-4614-6276-2 
320   $aIncludes bibliographical references.
327   $a1. 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. .
330   $aDespite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges.  The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.
410  0$aSpringerBriefs in optimization.
606   $aBusiness logistics
606   $aPerishable goods
615  0$aBusiness logistics.
615  0$aPerishable goods.
676   $a658.7
701   $aNagurney$b Anna$0288789
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910739441403321
996   $aNetworks Against Time$93552716
997   $aUNINA