书目名称 | Supply Chain Disruption Management Using Stochastic Mixed Integer Programming |
编辑 | Tadeusz Sawik |
视频video | |
概述 | Presents practical applications of stochastic mixed integer programming for solving supply chain disruption problems.Computational examples use commercially available software.End-of-chapter problems |
丛书名称 | International Series in Operations Research & Management Science |
图书封面 |  |
描述 | This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks. The book focuses on innovative, computationally efficient portfolio approaches to supply chain disruption management, e.g., selection of primary and recovery supply portfolios, demand portfolios, capacity portfolios, etc..Numerous computational examples throughout the book, modeled in part on real-world supply chain disruption management problems, illustrate the material presented and provide managerial insights. In the computational examples, the proposed mathematical programming models are solved using an advanced algebraic modeling language such as AMPL and CPLEX, GUROBI and XPRESS solvers. The knowledge and tools provided in the book allow the reader to model and solve supply chain disruption management problems using commercially available software for mixed integer programming. Using |
出版日期 | Book 20181st edition |
关键词 | Supply Chain Management; Supply Chain Risk; Stochastic Mixed Integer Programming; Supply Chain Disrupti |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-58823-0 |
isbn_softcover | 978-3-319-86483-9 |
isbn_ebook | 978-3-319-58823-0Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
issn_series | 0884-8289 |
copyright | Springer International Publishing AG 2018 |