Description
Springer Large Scale Optimization in Supply Chains and Smart Manufacturing Theory and Applications 2020 Edition by Jesús M. Velásquez-Bermúdez, Marzieh Khakifirooz, Mahdi Fathi
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 : - 1. Large Scale Optimization: Concepts and Fundamentals (Jesus Velasquez, Mahdi Fathi, Marzieh Khakifirooz). -2. Benders Theory Fundamentals & Extensions (Jesus Velasquez). -3. Lagrangian Relaxation(TBA). -4. Cross Decomposition (Ignacio Grossmann & & Braulio Braund). -5. Stochastic Optimization & Risk Management (Laureano Escudero & Juan Monge). -6. Economic Interpretation (Jesus Velasquez). - 7. Structured Mathematical Modeling (Jesus Velasquez). -8. Fundamentals of Sales & Operation Planning using Mathematical Programming (Jesus Velasquez). -9. Modeling using Superstructures (Jesus Velasquez). -10. Capacity Expansion Planning along a Time Horizon in Supply Chain Networks under Uncertainty with Risk Averse Reduction (Jeff Kelly). -11. Large-Scale Optimization for Modeling Multiplex Blockchain Networks based on Trust for Internet of Things (Laureano Escudero & Juan Monge). -12. Large-Scale Optimization for Modeling Retails 4.0 (Mahdi Fathi, Marzieh Khakifirooz). -13. Optimization in Process Industries (Mahdi Fathi, Marzieh Khakifirooz). -14. Multi-Echelon Dynamic Inventory Management using Stochastic Optimization 9 Ignacio Grossmann, Braulio Braund). -15. Multimodal Transport Systems (Jesus Velasquez). -16. Integrating Models of Operations (S&OP) and Financial (ALM) Models (Angel Marin). -17. The Berth Allocation and Quay Crane Assignment-Scheduling Problem: A Detailed Events Approach (Federico Trigos, Carolina Saldana, Jesus Velasquez). -18. Real Time Optimization Applied to Heavy Oil Pumping and Transportation (Danilo Abril, Jesus Velasquez). -19. Real Time Optimization Applied to Heavy Oil Pumping and Transportation (Raul Rodriguez, Jesus Velasquez). -21. New Approaches to Optimization in the Short Term (Jesus Velasquez, Mahdi Fathi, Marzieh Khakifirooz). -22. Optimization Technologies.