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001 978-1-4614-6277-4
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008 130131s2013 xxu| s |||| 0|eng d
020 _a9781461462774
_9978-1-4614-6277-4
024 7 _a10.1007/978-1-4614-6277-4
_2doi
050 4 _aQA402-402.37
050 4 _aT57.6-57.97
072 7 _aKJT
_2bicssc
072 7 _aKJM
_2bicssc
072 7 _aBUS049000
_2bisacsh
072 7 _aBUS042000
_2bisacsh
082 0 4 _a519.6
_223
100 1 _aNagurney, Anna.
_eauthor.
245 1 0 _aNetworks Against Time
_h[electronic resource] :
_bSupply Chain Analytics for Perishable Products /
_cby Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aIX, 142 p. 25 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Optimization,
_x2190-8354
505 0 _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. .
520 _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.
650 0 _aMathematics.
650 0 _aMathematical optimization.
650 1 4 _aMathematics.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aGame Theory, Economics, Social and Behav. Sciences.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aOptimization.
700 1 _aYu, Min.
_eauthor.
700 1 _aMasoumi, Amir H.
_eauthor.
700 1 _aNagurney, Ladimer S.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461462767
830 0 _aSpringerBriefs in Optimization,
_x2190-8354
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-6277-4
912 _aZDB-2-SMA
999 _c95629
_d95629