JOURNAL ARTICLE

Toward Knowledge-Based Control Of Flexible Manufacturing Systems

Robert E. YoungMichael Rossi

Year: 1988 Journal:   IIE Transactions Vol: 20 (1)Pages: 36-43   Publisher: Taylor & Francis

Abstract

Abstract This paper examines the use of artificial intelligence (AI) concepts to augment/enhance flexible manufacturing system (FMS) control systems by providing flexibility in decision-making to manage and control the system. Such a system would use a “knowledge-based” approach to system control. The paper first defines the problems and issues in FMS planning and control and then examines the AI technology that can be used to solve them. The paper shows that the FMS control structure is conceptually similar to an Al-based opportunistic hierarchical planning architecture. The paper concludes by discussing the prospects for knowledge-based control of FMSs in view of current technology. Notes Handled by the Computer and Information Sciences Department

Keywords:
Flexibility (engineering) Control (management) Flexible manufacturing system Architecture Engineering Hierarchical control system Control system Computer science Real-time Control System Knowledge-based systems Manufacturing engineering Industrial engineering Systems engineering Artificial intelligence Operations management

Metrics

27
Cited By
8.43
FWCI (Field Weighted Citation Impact)
57
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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