This paper develops an integer mathematical programming model to design the cellular
manufacturing systems under data envelopment analysis. 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 (CMS). The aim of the proposed is to minimize backorder costs and
intercellular costs. The Data Envelopment Analysis (DEA) is performed to determine the most
efficient alternative among alternatives that considered by employing the average machine utilization,
the average worker utilization, the number of product as the output variables and the number of
machines, the number of workers, the number of parts and demand levels as the input variables. We
are using the Tchebycheff norm method to rank the best DMUs.
A. Aalaei, B. Shavazipour. The Tchebycheff Norm for Ranking DMUs in Cellular Manufacturing Systems with Assignment Worker. International Journal of Applied Operational Research 2013; 3 (3) URL: http://ijorlu.liau.ac.ir/article-1-241-en.html