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Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management (Record no. 10928)

000 -LEADER
fixed length control field 05160nam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143340.0
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
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 670
Edition number 23
264 #1 -
-- London :
-- Springer London,
-- 2010.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Benyoucef, Lyes.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
Medium [electronic resource] /
Statement of responsibility, etc edited by Lyes Benyoucef, Bernard Grabot.
300 ## - PHYSICAL DESCRIPTION
Extent XXVI, 510p. 228 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title 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.
Topical term or geographic name as entry element Industrial engineering.
Topical term or geographic name as entry element Machinery.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Manufacturing, Machines, Tools.
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
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-84996-119-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-31AUM Main Library2014-03-31 2014-03-31 E-Book   AUM Main Library670

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