Shop floor management using a fuzzy inference controller

This paper proposes a fuzzy model which ranks jobs according to a linear combination of different priorities whose weights reflect the current status of the system. The priorities are determined applying a number of fuzzy rules having as premises attributes related to the features of each job. The weights, instead, are determined according to fuzzy rules having as premises attributes related to the current status of the system. This fuzzy model provides a methodological basis for developing shop floor management systems. Shop floor management systems are concerned with decisions regarding part scheduling and resource allocation.