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 enterprisesa 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.Server IPM-1 User 1 Variant-1 browser RMI server a#39;blackboarda#39; UserAgent User Interface MASTERIPM ServerAgent2 ... but can be considered to be a hybrid of an agent-based system and a BB system in a manner similar to Lander et al.
|Title||:||Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management|
|Author||:||Lyes Benyoucef, Bernard Grabot|
|Publisher||:||Springer Science & Business Media - 2010-05-10|