Fuzzy clustering in cell formation with multiple attributes
An approach based on fuzzy clustering and aggregation operators is proposed to design cell formation involving multiple criteria or multiple attributes. The three most basic attributes in cell formation, namely, number of machines required, processing time, and common tools required on machines, are considered. The results are compared with the single attribute results of Chu and Hayya (1991)[27].
fuzzy clustering cell formation multiple attributes production flow analysis