JOURNAL ARTICLE

A knowledge-based simulation environment for hierarchical flexible manufacturing

Bernard P. ZeiglerT.H. ChoJerzy W. Rozenblit

Year: 1996 Journal:   IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans Vol: 26 (1)Pages: 81-90   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This article presents an approach to embedding expert systems within an object oriented simulation environment. The basic idea is to create classes of expert system models that can be interfaced with other model classes. An expert system shell is developed within a knowledge-based design and simulation environment which combines artificial intelligence and systems modeling concepts. In the given framework, interruptible and distributed expert systems can be defined as components of simulations models. This facilitates simulation modeling of knowledge-based controls for flexible manufacturing and many other autonomous intelligent systems. Moreover, the structure of a system can be specified using a recursive system entity structure (SES) and unfolded to generate a family of hierarchical structures using an extension of SES pruning called recursive pruning. This recursive generation of hierarchical structures is especially appropriate for design of multilevel flexible factories. The article illustrates the utility of the proposed framework within the flexible manufacturing context.

Keywords:
Computer science Expert system Embedding Pruning Context (archaeology) Hierarchical control system Artificial intelligence Control (management)

Metrics

52
Cited By
4.44
FWCI (Field Weighted Citation Impact)
25
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Advanced Manufacturing and Logistics Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Flexible and Reconfigurable Manufacturing Systems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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