Evaluate the performance of the organization using two integrated approaches the DEA-BSC and ANN-DEA

Subject Areas : مدیریت

Reza Ehtesham Rasi ¹ ( Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran (Correspondent) )
Eisa Naji ² ( PhD Student, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran )

Received: 2021-01-12 Accepted : 2021-01-12 Published : 2020-12-21

Keywords: Performance Evaluation, Artificial Neural Network (ANN), Balanced Score card (BSC), Data Envelopment Analysis )DEA), Slack Based Measure Model (SBM),

Abstract :

Considering the importance of efficiency in advancing communities and the place that today's organizations have embraced, the use of performance evaluation has become an inevitable necessity. Therefore, we are trying to investigate the effectiveness of organizations by combining the two DEA-BSC systems and neural networks in this study. In this regard, first, the performance indicators were determined by using the Balanced Scorecard technique in four dimensions of customer, internal processes, learning and growth and financial, then using the data envelopment analysis method and non-radial SBM model and GAMS software, the organization's efficiency we calculated. In the next step, with the help of the indicators derived from the DEA-BSC method and using the combination of two systems of data envelopment analysis and neural network and using the MATLAB software, the efficiency was re-calculated. In the last step, we compared the two methods of DEA-BSC and ANN-DEA. The results of the comparison of the two methods indicated the compatibility of the two models in discussing the efficiency and superiority of the ANN-DEA method in terms of the short response time and the determination of the efficiency and the possibility of using Its trained algorithm to measure the performance of organizational units in the future.