Utilizing Computer Simulation and DEAGP to Enhance Productivity in a Manufacturing System

Generally, a typical problem which is crucial in a manufacturing system is increasing the production rate. To cope with the problem, different types of techniques are used in companies by trial and error which imposes high costs on them. Using simulation as a tool for assessing the effect of alterations on the performance of the overall system might be significant. This paper considers a simulation based data envelopment analysis goal programming (DEAGP) applied into a well-known automobile spare part manufacturer in Kurdistan to improve production rate. The objective is to develop a simulation model based on real system to identify the imbalances and improve the performance of production system. For this purpose, in 2013 data are collected from existing system and applying full factorial design of experiments technique, different scenarios have been considered then to find the best one we used data envelopment analysis goal programming technique as a method for measuring the relative efficiency of similar units. The results show that, the optimum scenarios are 5 and 8. Applying this method could conduct us to gain more than 1% improvement in production rate using the existing resources.