Scheduling of Flexible Manufacturing Systems using Fuzzy Logic: A Review

نویسنده

  • Anjali Shrivastava
چکیده

The task of scheduling in flexible manufacturing systems (FMS) is more complex and problematic than a traditional manufacturing systems. To accomplish great performance for FMS, a good scheduling system should make an accurate decision at an accurate time according to system situations. Fuzzy logic methodologies easily deal with indeterminate and incomplete information. Human expert‟s knowledge can be effortlessly coded into fuzzy rules. Because of these reasons, fuzzy logic methodologies are very operational for scheduling of flexible manufacturing systems. This work presents an evaluation on use of fuzzy logic approaches in scheduling of flexible manufacturing systems. The shortcomings of fuzzy techniques can be easily dealt by hybrid models. This work also discusses the increased use of hybrid models in dealing with scheduling problems.

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تاریخ انتشار 2015