The Tchebycheff Norm for Ranking DMUs in Cellular Manufacturing Systems with Assignment Worker

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 approach 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.