Document Type : Original Research

Authors

1 Department of Industrial Engineering, College of Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran

2 Department of Industrial Engineering, College of Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract

Today performance evaluation is known as an inevitable part of management knowledge; in such a way that it can help an organization to consume sources and facilities in an optimum way and also achieve its goals and strategies. In this paper for evaluating the performance of aircraft maintenance unit in Iran, Balanced Scorecard (BSC), a strategic management method for performance measurement using a set of financial and non-financial performance metrics, and Fuzzy Multiple Criteria Decision Making (FMCDM) has been used. 26 criteria for performance evaluation in four BSC perspectives by help of maintenance unit’s experts have been specified. The criteria’s weights via Fuzzy Analytic Hierarchy Process (FAHP) method by using Fuzzy Preference Programming (FPP) approach determined and finally fuzzy VIKOR method has been used to measure the performance of three aircraft maintenance units. Results of research shows that FAHP-FVKIOR evaluation method by BSC can be a useful tool for optimum measuring of performance.

Keywords

Kaplan, R., Norton, D. (1992). The Balanced Scorecard: measures that drive performance. Harv Bus Rev, 9-71.
Kaplan, R., Norton, D. (1996). The Balanced Scorecard: translating strategy into action. Boston: Harvard Business Press.
Mikhailov, L. (2000). A fuzzy programming method for deriving priorities in the analytic hierarchy process. Journal of the Operational Research Society, (51), 341–349.
Mikhailov, L. (2003). A fuzzy approach to deriving priorities from interval pairwise comparison judgements. European Journal of Operational Research, (159), 687–704.
Pourebrahim, Sh., Hadipour, M., Mokhtar, M. B., Taghavi, Sh. (2014). Application of VIKOR and fuzzy AHP for conservation priority assessment in coastal areas: Case of Khuzestan district, Iran. Expert Systems with Applications, (98),  20-26.
Saaty, T. (1990). Multicriteria decision making: the Analytic Hierarchy Process. RWS Publications.
Tavana, M., Mousavi, N., Golara, S. (2013). A fuzzy-QFD approach to balanced scorecard using an analytic network process. Int. J. Information and Decision Sciences, (5), 331–363.
Wang, Y., Xia, Q. (2009). Using A Fuzzy AHP and BSC Approach for Evaluating Performance of A Software Company Based on Knowledge Management. IEEE, 2242 – 2245.
Wu, S. I., Hung, J. M., (2008). A performance evaluation model of CRM on nonprofit organizations. Total Quality Management & Business Excellence, (4), 321–342.
Wu, H. Y., Tzeng, G. H., Chen, Y. H. (2009). On A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Systems with Applications, (36), 10135- 10147.
Xiaoli, Y., Guangbin, W. (2008). Using the BSC-AHP-FCA Method to Evaluate IT Performance of Construction Companies. IEEE, 1-5.
Yang, T., Chen, M. Ch., Hung,Ch. Ch. (2007). Multiple attribute decision-making methods for the dynamic operator allocation problem. Mathematics and Computers in Simulation, (73), 285–299.
Yuksel, I., Dagdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, (37), 1270–1278.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, (8), 338–353.
Zimmermann, H.J. (1991). Fuzzy Set Theory and Its Applications. 2nd ed. Kluwer Academic Publishers, Boston/Dordrecht/London.