Data Envelopment Analysis in Cellular Manufacturing Systems with machine-partworker incidence matrix

This paper develops an integer mathematical programming model to design cellular manufacturing systems (CMS) using a data envelopment analysis (DEA) approach. Since workers have an important role in doing jobs on machines, assignment of workers to cells becomes a crucial factor for fully utilization of cellular manufacturing systems. The DEA is preformed to determine the most efficient solution of CMS for a three-dimensional machine-part-worker incidence matrix.

Keywords:

Data Envelopment Analysis (DEA) , Cellular manufacturing , Worker Assignment , Mathematical Programming