2010 / x + 206 pages / Softcover / ISBN: 978-0-898717-00-6 / List Price $74.00 / SIAM Member Price $51.80 / Order Code OT121
Keywords: supply chain modeling, hyperbolic partial differential equations, network problems, mixed-integer programming, wave front tracking
This book offers a state-of-the-art introduction to the mathematical theory of supply chain networks, focusing on those described by partial differential equations (PDEs). The authors
Real-world examples are given to demonstrate the applicability of the presented approaches.
Graduate students and researchers who are interested in the theory of supply chain networks described by PDEs will find this book useful. It can also be used in advanced graduate-level courses on modeling of physical phenomena, as well as introductory courses on supply chain theory.
About the Authors
Ciro d'Apice is a professor at the University of Salerno. His research interests include fluid dynamic models for telecommunication, traffic and supply chain networks, control theory, and queueing models. He is the author of more than 80 research papers and five books.
Simone Göttlich is an assistant professor for scientific computing at TU Kaiserslautern. Her research interests include the modeling and simulation of transportation networks as well as the interaction of discrete and continuous optimization problems.
Michael Herty is a professor at RWTH Aachen University who has authored more than 50 research papers. His primary research is in applied mathematics with an emphasis on modeling, simulation, and optimization of transport processes governed by hyperbolic partial differential equations. His recent studies involve problems with an underlying network structure, such as those appearing in traffic flow, gas transportation, and supply chains.
Benedetto Piccoli is research director at IAC-CNR in Rome. He is the author of four books and more than 150 research papers and is the founding editor of Networks and Heterogeneous Media. He is the 2009 recipient of the Fubini Prize 2009. His research interests span various areas of applied mathematics, including traffic flow on networks, pedestrian motion, control theory, mathematical finance, and systems biology.
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