Optimization in Large Scale Problems : Industry 4.0 and Society 5.0 Applications. 1st ed. 2019

種類:

電子ブック

責任表示:

edited by Mahdi Fathi, Marzieh Khakifirooz, Panos M. Pardalos

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2019

著者名:

• Fathi, Mahdi.
• Khakifirooz, Marzieh.
• Pardalos, Panos M.
• SpringerLink (Online service)

シリーズ名:

Springer Optimization and Its Applications ; 152

ISBN:

9783030285654 [3030285650]    

注記:

Part 1 -- Risk Based Optimization of Integrated Fabrication/Fulfillment Supply Chains (Nasim Nezamoddini, Faisal Aqlan, Amirhosein Gholami) -- μθ-EGF: A New Multi-Thread Implementation Algorithm for the Packing Problem inspired by Electromagnetic Fields and Gravitational Effects (Felix Martinez-Rios and Jose Antonio Marmolejo-Saucedo) -- The Vector Optimization Method for Solving Integer Linear Programming Problems. Application for the Unit Commitment Problem in Electrical Power Production (Lenar Nizamov) -- An Outer Approximation Algorithm for Capacitated Disassembly Scheduling Problem with Parts Commonality and Random Demand (Kanglin Liu, MengWang, Zhi-Hai Zhang),- Multi-Tree Decomposition Methods for Large-Scale Mixed Integer Nonlinear Optimization (Ivo Nowak, Pavlo Muts, and Eligius M.T. Hendrix) -- An Embarrassingly Parallel Method for Large-Scale Stochastic Programs (Burhaneddin Sandıkçı and Osman Y. Özaltın) -- Part 2 -- How to Effectively Train Large Scale Machines (Avan Samareh, Mahshid Salemi Parizi
This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization

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