- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises.
The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises' activities at different decision levels is also covered.
Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.
Contents
Intelligent Manufacturing Systems.- Agent-based System for Knowledge Acquisition and Management Within a Networked Enterprise.- Multi-agent Simulation-based Decision Support System and Application in Networked Manufacturing Enterprises.- A Collaborative Decision-making Approach for Supply Chain Based on a Multi-agent System.- Web-services-based e-Collaborative Framework to Provide Production Control with Effective Outsourcing.- Isoarchic and Multi-criteria Control of Supply Chain Network.- Supply Chain Management Under Uncertainties: Lot-sizing and Scheduling Rules.- Meta-heuristics for Real-time Routing Selection in Flexible Manufacturing Systems.- Meta-heuristic Approaches for Multi-objective Simulation-based Optimization in Supply Chain Inventory Management.- Diverse Risk/Cost Balancing Strategies for Flexible Tool Management in a Supply Network.- Intelligent Integrated Maintenance Policies for Manufacturing Systems.- Enhancing the Effectiveness of Multi-pass Scheduling Through Optimization via Simulation.- Intelligent Techniques for Safety Stock Optimization in Networked Manufacturing Systems.- Real-world Service Interaction with Enterprise Systems in Dynamic Manufacturing Environments.- Factory of the Future: A Service-oriented System of Modular, Dynamic Reconfigurable and Collaborative Systems.- A Service-oriented Shop Floor to Support Collaboration in Manufacturing Networks.
