چكيده به لاتين
Production and service companies and organizations need continuous evaluation of their performance in order to continue and be stable in competitive conditions. In this regard, the main goal is to achieve products with the highest quality, the lowest cost and the fastest delivery time, which is possible through the improvement of performance and productivity in companies and the optimal use of resources.
Effective management in companies is one of the key factors in creating a competitive advantage for organizations. Improving the quality of customer service, increasing revenue and reducing costs are the direct results of this management approach. Accurate and regular evaluation of companies' performance is necessary to ensure compliance with strategic goals and to identify weak points. For this purpose, first, it is necessary to define performance measurement criteria and then based on them, the performance of organizations is evaluated and deviation points are identified and corrected.
In this study, in order to comprehensively evaluate performance, a combined model of balanced scorecard (BSC) has been considered to analyze different dimensions of performance and use of data envelopment analysis (DEA) method to measure efficiency. In this study, Tehran Wagon Manufacturing Company has been studied as an example. In the process of conducting this study, first, performance criteria in four dimensions of financial, customer, internal processes and learning and growth were determined and prioritized. Then, using the DEA method, the company's performance in the past 10 years was examined in two different scenarios and the reasons for success or failure in each year were examined. In the first scenario, the performance evaluation in the company under study was carried out without applying the effect of inflation on financial inputs and outputs, and in the second scenario, the effect of inflation on financial inputs and outputs was considered.
The results show that in both scenarios, the best performance in the company under study occurred in 2018 and the weakest performance occurred in 2023. The findings of this research can be used as an effective tool in improving performance and future planning in similar companies and industries.
