Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
Enterprise networks offer a wide range of new business opportunities, especially for small and medium-sized enterprises that are usually more flexible than larger companies. In order to be successful, however, performances and expected benefits have to be carefully evaluated and balanced: enterprise...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2010.
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Σειρά: | Springer Series in Advanced Manufacturing,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.