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Part I. Roadmap of Optimization for Large Scale Problem
Large Scale Optimization Is Needed for Industry 4.0 and Society 5.0
Behavioral Risk Management of Large-Scale Projects
Trusting Algorithms in Society 5.0
Online Controlled Experiments at Large Scale in Society 5.0
Applications of Queueing in Society 5.0
Data Analytics Enabled Smart Manufacturing Business Model Transformation – A Product-Service Systems Perspective
A Brief Overview of Interdiction and Robust Optimization
Matrix-Analytic Methods – An Algorithmic Approach to Stochastic Modelling and Analysis
The Next Generation of Optimization: A Unified Framework for Dynamic Resource Allocation Problems
Optimal Planning of Electric Power Systems
Ideal Flow Network in Society 5.0
Modeling Challenges of Securing Gates for a Protected Area in Society 5.0
Part II. Case Studies
Industrial Modeling and Programming Language (IMPL) for Off- and On-Line Optimization and Estimation Applications
How Effectively Train Large-Scale Machine Learning Models?
Naval Wholesale Inventory Optimization
Smart Production by Integrating Product-Mix Planning and Revenue Management for Semiconductor Manufacturing
A Nested Decomposition Approach for a Large Scale Set Covering Problem: A Model with a Variety of Applications in Industry 4.0
Risk Based Optimization of Electronics Manufacturing Supply Chains
The Effect of Customer Patience on Multiple-Location Inventory Systems
Smart Health in Medical Image Analysis
A Multi-layer Physic-based Model for Electric Vehicle Energy Demand Estimation in Interdependent Transportation Networks and Power Systems
Influence Maximization in Social Networks
Solving Large Scale Optimization Problems in the Transportation Industry and Beyond Through Column Generation
Curb Space Management in Urban Mobility System
L 1 Optimization for Sparse Structure Machine Learning Based Electricity Demand Prediction
Value of Production Capacity Mobility
Effective Covering of Supplied Nanostores in Emerging Cities

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Optimization in large scale problems : industry 4.0 and society 5.0 applications 이용현황 표 - 등록번호, 청구기호, 권별정보, 자료실, 이용여부로 구성 되어있습니다.
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알라딘제공

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, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.



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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, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.



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