Agent-Based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance...

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Massimo Paolucci (DIST, Universita de Genova, Italy) Roberto Sacile (DIST, Universita de Genova, Italy)

Agent-Based Manufacturing and Control Systems

New Agile Manufacturing Solutions for Achieving Peak Performance

Massimo Paolucci (DIST, Universita de Genova, Italy), Roberto Sacile (DIST, Universita de Genova, Italy), Roberto Sacile (DIST, Universita de Genova, Italy) , Raffaele Pesenti (DEEI-University of Trieste, Trieste, Italy)

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English

CRC Press Inc
28 October 2004

Engineering: general; Production engineering; Computer aided manufacture (CAM); Power generation & distribution

When properly designed and implemented, agent-based systems result in performance that is flexible, robust,

adaptive, and fully tolerant - key factors for manufacturing success in the increasingly global marketplace. This book details the advantages of using an agent-based system, designing and implementing the system, selecting the most appropriate coding language, solving common coding problems, and creating a simulation model to test system efficiency. Designed as a how-to guide for agent-based manufacturing, the book focuses particularly on manufacturing planning, scheduling, and control and stands apart from other books with its practical and applicative slant.

By: Massimo Paolucci (DIST Universita de Genova Italy), Roberto Sacile (DIST, Universita de Genova, Italy), Roberto Sacile (DIST, Universita de Genova, Italy)
Contributions by: Raffaele Pesenti (DEEI-University of Trieste Trieste Italy), Manuel Gentile
Imprint: CRC Press Inc
Country of Publication: United States
Dimensions: Height: 234mm, Width: 156mm, Spine: 21mm
Weight: 544g
ISBN: 9781574443363
ISBN 10: 1574443364
Pages: 288
Publication Date: 28 October 2004
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Agent Technology in Modern Production Systems. Issues in Designing Agent-Based Manufacturing Systems. Agents for Planning, Scheduling, and Control. Agent-Based Simulation. Agent System Implementation. Past Successes. Future Challenges.

Massimo Paolucci, Roberto Sacile