Over the past decade, a large (and continually increasing) number of efforts (both research and development) have sought to investigate and exploit the use of artificial intelligence (AI) concepts and techniques in production management applications. In some cases, AI-based concepts have provided frameworks for making traditional operations research (OR) techniques more accessible and usable in practical production management settings. In others, novel concepts and techniques have been developed that offer new opportunities for more cost-effective factory performance. While this field of ‘knowledge-based’ production management is still fairly young and the literature is still dominated by experimental research systems, results are nonetheless starting to have an impact in actual production environments. In recent years, several systems have made their way into operation, and many have been attributed with substantial manufacturing performance gains. In this paper, we provide an overview of resear...

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Knowledge-based production management approaches, results and prospects

An Integrated Rule-Based/Algorithmic Architecture for On-Line Process Monitoring and Reactive Control

A fundamental framework that provides an integrated view of production planning and control from the enterprise level is described. The framework provides coordination of activities among functional units to achieve a tactical goal as well as linkage between operational control at the functional level and strategic consideration at the enterprise level. Such a framework is realized by SIMEMS, which draws on AI, OR, system analysis, database, and user interface technology. >

http://ieeexplore.ieee.org/iel2/255/3592/00128112.pdf

M. Zhu

Papers

SIMEMS: an intelligent support system for manufacturing enterprise