000 02474nam a2200229 4500
005 20251108134121.0
008 250310b |||||||| |||| 00| 0 eng d
020 _a9798886130232
041 _aeng
082 _a658.5
_bHaiO
100 _aLi, Haitao
245 _aOptimization Modeling For Supply Chain Applications /
_cHaitao Li
260 _aNew Jersey:
_bWorld Scientific;
_c©2024
300 _axxvi, 442p.
520 _aHow to design an efficient and cost-effective logistics network? How to plan procurement, production, and transportation to meet customer demand with minimum operating costs? How to sequence jobs through machines for on-time order completion? And how to dispatch vehicles and schedule their routes to serve customers efficiently? Answers to these questions are key to effective and efficient supply chain operations. This book provides a systematic and comprehensive coverage of data-driven optimization modeling techniques and their applications in supply chain management. From the methodological perspective, it introduces various model building techniques including mathematical programming (linear and integer programming), network optimization, and constraint programming. From the application perspective, it covers the topics of supply chain network design, production planning, supply chain configuration, machine scheduling, and vehicle routing, among others. It also introduces the state-of-the-art optimization modeling software, the CPLEX OPL Studio, as a powerful and accessible tool for implementing the modeling techniques and solution methods in this book. Sample codes will be available upon purchase of the book. This book is essential reading material for researchers and students in business, data analytics, industrial engineering, computer science and applied math who would like to learn optimization modeling in the context of supply chains. It is also suitable for practitioners and consultants in industry who would like to understand the behind-the-scene techniques in off-the-shelf commercial optimization software. As a textbook, it can be used for an advanced undergraduate or graduate course in supply chain management, operations management, data analytics, economics, and industrial engineering.
650 _aLogistics
650 _aSupply Chain Management
650 _aOptimization
_xMathematical Models
650 _aOperations Research
650 _aIndustrial Management
942 _cBK
999 _c6993
_d6993