Optimizing a multiple criteria dynamic layout problem using a simultaneous data envelopment analysis modeling Optimizing a DLP using DEA

The main characteristic of today’s manufacturing environments is volatility. Under such a volatile environment some parameters like demand is not stable. To operate efficiently under such environments, the facilities must be adaptive to change production requirements. From a layout point of view, this situation requires the solution of the dynamic layout problem (DLP). Layout design has a significant impact on the performance of a manufacturing or service industry system. So designing an efficient layout considering different criteria is interesting for researchers. But dynamic layout problems usually are solved just considering cost criterion. This paper is to consider different criteria in addition to cost to suggest an efficient solution for dynamic layout problem. To this purpose, at first we use classic models for DLP to generate a good solution from a cost point of view. Then defining DMUs and their inputs and outputs based on the classic DLP solution, a multi-objective combined DLP -DEA model is proposed and solved using GC method to select some efficient situations for efficient rearrangement of facilities.