About this book


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.


Large-scale optimization with Applications Supply Chain Management Service Operations Management Logistics Management Supply Chain Industrial Enginering Smart Manufacturing large-scale optimization methods Soft Computing Risk Management Stochastic Programming Lagrangian Relaxation Structured Mathematical Modeling Asynchronous Parallel Optimization Real-Time Distributed Optimization Optimization Knowledge Expert System

Editors and affiliations

  • Jesús M. Velásquez-Bermúdez
    • 1
  • Marzieh Khakifirooz
    • 2
  • Mahdi Fathi
    • 3
  1. 1.DecisionWareBogotáColombia
  2. 2.School of Engineering and ScienceTecnologico de MonterreySanta FeMexico
  3. 3.Department of Industrial & Systems EngineeringMississippi State UniversityStarkvilleUSA

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