Supply Chain Management: Models, Applica
✍ H. Edwin Romeijn
📂 Library
📅 2002
🌐 English
✦ LIBER ✦
📁
Large Scale Optimization in Supply Chains and Smart Manufacturing: Theory and Applications
✍ Scribed by Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi
- Publisher
- Springer International Publishing
- Year
- 2019
- Tongue
- English
- Leaves
- 297
- Series
- Springer Optimization and Its Applications 149
- Edition
- 1st ed. 2019
- Category
- Library
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✦ Synopsis
In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming.
Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management.
Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.
✦ Table of Contents
Front Matter ....Pages i-xxi
Logic-Based Benders Decomposition for Large-Scale Optimization (John N. Hooker)....Pages 1-26
Multi-Tree Decomposition Methods for Large-Scale Mixed Integer Nonlinear Optimization (Ivo Nowak, Pavlo Muts, Eligius M. T. Hendrix)....Pages 27-58
Kantorovich–Rubinstein Distance Minimization: Application to Location Problems (Viktor Kuzmenko, Stan Uryasev)....Pages 59-68
Dynamic Energy Management (Nicholas Moehle, Enzo Busseti, Stephen Boyd, Matt Wytock)....Pages 69-126
An Embarrassingly Parallel Method for Large-Scale Stochastic Programs (Burhaneddin Sandıkçı, Osman Y. Özaltın)....Pages 127-151
An Outer Approximation Algorithm for Capacitated Disassembly Scheduling Problem with Parts Commonality and Random Demand (Kanglin Liu, Meng Wang, Zhi-Hai Zhang)....Pages 153-181
An Approximation-Based Approach for Chance-Constrained Vehicle Routing and Air Traffic Control Problems (Lijian Chen)....Pages 183-239
The Vector Optimization Method for Solving Integer Linear Programming Problems: Application for the Unit Commitment Problem in Electrical Power Production (Lenar Nizamov)....Pages 241-256
Algorithmic Mechanism Design for Collaboration in Large-Scale Transportation Networks (Minghui Lai, Xiaoqiang Cai)....Pages 257-282
✦ Subjects
Mathematics; Optimization; Supply Chain Management; Mathematical Modeling and Industrial Mathematics
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