Shop floor management using a fuzzy inference controller

In this paper the authors propose a theoretical framework, based on fuzzy logic, to develop a shop floor controller. By recognizing that these weights are strongly influenced by the shop floor conditions, the authors introduce a fuzzy logic algorithm which determines both the jobs priorities and the corresponding weights applying a number of fuzzy rules. Since the rules premises are defined as fuzzy sets, the consequences are fuzzy sets themselves. Consequently, a defuzzification algorithm is applied.