

Beschreibung
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 nee...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.
Captures the full scope of supply chain network activities like production, storage, transportation and distribution?? Case studies demonstrate the application of models and algorithms to real-world sectors ? Graphically depicts network structures of distinct supply chains comparisons across different application domains
Autorentext
Anna Nagurney is the Eugene M. Isenberg Chair in Integrative Studies and was appointed to this endowed chaired professorship in the Department of Operations and Information Management in the Isenberg School of Management at the University of Massachusetts Amherst on April 14, 2021. Prior to that, she was the John F. Smith Memorial Professor of Operations Management, since 1998. She is also the Founding Director of the Virtual Center for Supernetworks and the Supernetworks Laboratory for Computation and Visualization at UMass Amherst. She is an Affiliated Faculty Member of the Department of Civil and Environmental Engineering and the Department of Mechanical and Industrial Engineering at UMass Amherst. She received her AB, ScB, ScM, and PhD degrees from Brown University in Providence, Rhode Island. She devotes her career to education and research that combines operations research / management science, engineering, and economics. Her focus is the applied and theoretical aspects of network systems, particularly in the areas of transportation and logistics, critical infrastructure, and in economics and finance. She has authored or co-authored 12 other books, more than 200 refereed journal articles and over 50 book chapters. In 2020, Professor Anna Nagurney was awarded the Harold Larnder Prize from the Canadian Operational Research Society and was selected to be a 2022 IFORS Distinguished Lecturer.
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