Data envelopment analysis in cellular manufacturing systems considering worker assignment

In cellular manufacturing systems we are not only looking toward increasing production volumes, but are also looking to increasing productivity and efficiency of available resources. So in this article, we seek to increase production volumes and simultaneously increase productivity and efficiency of the resources. This paper develops an integer mathematical programming model to design the cellular manufacturing systems under data envelopment analysis. The aim of the proposed is to minimise cost of lost sales demand and intercellular costs. The data envelopment analysis (DEA) is performed to determine the most efficient alternative by employing the average machine utilisation, the average worker utilisation, and mean 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 best DMUs.