Könyv Networks Against Time Anna Nagurney

Networks Against Time

Supply Chain Analytics for Perishable Products

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
19 305 Ft
Despite significant achievements, the§discipline of supply chain management is still unable to satis...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2013
oldal
142
EAN
9781461462767
ISBN
1461462762
Enbook ID
01428525
Súly
2409
Méretek
155 x 235 x 9

Teljes leírás

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.

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