Performance Evaluation in Aggregate Production Planning by Integrated Approach of DEA and MADM under Uncertain Condition

Today, increasing of competition between companies and manufacturing centers, increasing efficiency of production and determining tools and methods of performance evaluation are the biggest challenges facing managers. Performance evaluation in production planning as the basic pillar of any manufacturing set can be achieved the ideal level of production. In the aggregate production planning (APP) as one of the production planning categories, due to planning for producing the products family and using the common resources, with the aim of reducing waste of resources, performance evaluation is very important. This purpose of this study is performance evaluating of aggregate production planning. In this regard, the optimal values by using multi objective fuzzy aggregate production planning (FAPP) model and weights of input and output criteria for performance evaluation by using the new step-wise weight assessment ratio analysis (SWARA) method have been determined and efficiency of decision making units by using the ratio efficiency dominance (RED) model have been determined and decision making units have been ranked. In the case study is related to production of XU7 engine parts by SAPCO and subsidiaries, the efficiency of decision-making units have been determined and ranked. The results show that the proposed model has greater accurate and power to detect in determining efficiency in comparison with previous models, and it helps to managers for better decisions to increasing efficiency and reducing waste of resources.