Paper
22 December 1993 Fuzzy expert system shell for scheduling
I. Burhan Turksen, Tanju Yurtsever, K. Demirli
Author Affiliations +
Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165037
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
The Fuzzy Logic Expert System Scheduler (FLES) is a unique, on-line, interactive shop floor scheduler that is designed to produce detailed, realistic schedules for day-to-day production management. The user can exercise the control of FLES to produce scheduling assignments over short or long term scheduling horizons or to simulate different plant capacity conditions to analyze their effect on future work plans. The unique and proprietary feature of FLES is its `Decision Engine', a fuzzy knowledge base system that models the reasoning process of a human expert is used to give job releasing and job dispatching decisions. Expert knowledge in terms of fuzzy production rules represented by the use of linguistic variables. The values of these linguistic variables are defined by context dependent fuzzy sets whose meanings are specified by graded membership functions.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Burhan Turksen, Tanju Yurtsever, and K. Demirli "Fuzzy expert system shell for scheduling", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165037
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Cited by 9 scholarly publications.
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KEYWORDS
Fuzzy logic

Fuzzy systems

Process modeling

Statistical analysis

Systems modeling

Time metrology

Data modeling

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