Networks Against Time
Author | : Anna Nagurney |
Publisher | : Springer Science & Business Media |
Total Pages | : 148 |
Release | : 2013-02-01 |
ISBN-10 | : 9781461462774 |
ISBN-13 | : 1461462770 |
Rating | : 4/5 (74 Downloads) |
Download or read book Networks Against Time written by Anna Nagurney and published by Springer Science & Business Media. This book was released on 2013-02-01 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.