Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management (Record no. 110973)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05342nam a22004695i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-1-84996-119-6 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20140220084515.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100508s2010 xxk| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781849961196 |
| -- | 978-1-84996-119-6 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-84996-119-6 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TJ241 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TGXT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TEC020000 |
| Source | bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 670 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Benyoucef, Lyes. |
| Relator term | editor. |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management |
| Medium | [electronic resource] / |
| Statement of responsibility, etc | edited by Lyes Benyoucef, Bernard Grabot. |
| 264 #1 - | |
| -- | London : |
| -- | Springer London, |
| -- | 2010. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXVI, 510p. 228 illus. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Springer Series in Advanced Manufacturing, |
| International Standard Serial Number | 1860-5168 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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: enterprises must ensure they become a member of the right network for the right task and must find an efficient, flexible, and sustainable working practice. A promising approach to finding such a practice is to combine analytical methods and knowledge-based approaches, in a distributed context. Artificial intelligence (AI) techniques have been used to refine decision-making in networked enterprise processes, integrating people, information and products across the network boundaries. 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. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Industrial engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machinery. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Engineering. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Manufacturing, Machines, Tools. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Industrial and Production Engineering. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Grabot, Bernard. |
| Relator term | editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9781849961189 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Springer Series in Advanced Manufacturing, |
| -- | 1860-5168 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-84996-119-6 |
| 912 ## - | |
| -- | ZDB-2-ENG |
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