Fuzzy Control of Product Quality in a Manufacturing System Modeled with Interval Constrained Petri Net

Abstract:

One of the main aspects of small and medium-sized enterprises is the quality of the products, in a production system several parameters and non-temporal variables must respect very strict variation intervals such as weight measurements, in the chemical industry. This parameter also takes a fundamental part in the quality of the product. The correct production process is based on a given percentage of each material. We chose a food production system where the quality requirements are very high. In this article, we propose a production system modeling by interval constraint Petri net. And we controlled these intervals with a fuzzy type-2 controller for decision making.

• Periodical: International Journal of Engineering Research in Africa (Volume 40)
• Pages: 151-161
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.40.151
• Online since: December 2018
• Authors: Sarra Adjim, Rachida Ghoul Hadiby, Alli Chermitti, Abdelkader Slimane*
• Keywords: Fuzzy Control, Interval Constrained Petri Net, Manufacturing Systems, Quality Control, Takagi Sugeno Fuzzy Logic, Type-2 Fuzzy Logic

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