Mahyar Kianpour - Full Professor of Industrial Engineering, Department of Industrial and Systems Engineering, University of Tehran, Iran
Masoud Rabani - M.S. student in Industrial Engineering, Department of Industrial and Systems Engineering, University of Tehran, Tehran, Iran

In many global markets, volatility and turmoil are unavoidable and undeniable factors and also manufacturing plants strive to achieve environmentally sound operations so manufacturing industries managers must take appropriate strategies to deal with uncertainty considering green factors. There is no specific and practical method for assessment system's agility besides the green factors which is acceptable by researchers. This study uses a new framework including the combination of three key agility variables (Responsiveness, Competency, Flexibility and Quickness) and green factors for assessing the performance of manufacturing systems. First a questionnaire was designed based on the mentioned factors and in order to collect data and evaluate performance we considered an Iranian Automotive industry as case study. Then DEA approach was used to evaluate the decision making units (DMUs). The results show agility and green factors play a significant role in the performance promotion of the manufacturing system performance. To validate the results of this study, the Spearman test is performed. The value of the test is 93% and indicates the results are valid. It is one of the first studies that evaluate the manufacturing system by combination agility and green factors, through DEA approach.

agility, green, manufacturing systems, performance;