Developing a Performance evaluation model based on the Fuzzy Analytical Hierarchy process (FAHP) and the Balanced Scorecard (BSC) approach (Case Study one of the Iranian food industries)

The important role of food industries in promotion of the various health and economic indicators in the countries persuaded the industries involved in this affair to enforce fundamental reviews in the management approaches to enable them to perform the most efficient methods for utilizing the limited available recourses to improve the society’s health and economic growth. The balanced scorecard, as one of the successful tools in performance evaluation system, does not show the importance degree for the perspectives and the indicators under each perspective. To eliminate this deficiency the fuzzy analytic hierarchy process method is used in this research for weighting the perspectives and balanced scorecard indicators. In this study, first a list of performance evaluation indicators based on balanced scorecard approach was prepared and then the pairwise comparison was gained through field study and the standard AHP questionnaire with compatibility rate lower than 0.1. At the end the rate of balanced realization was evaluated for each. Regarding the pairwise comparison among perspectives done by the experts the customer perspective weighting 0.328 showed the maximum importance degree among other perspectives. The finance perspective weighting 0.290, the internal business process perspective weighting 0.239, and the learning and growth perspective weighting 0.143 were ranked as second to forth level respectively. According to the obtained certain weights, the added income comparison to the previous year weighing 0.121 was ranked in first level. The number of customer complains weighting 0.094, the customer satisfaction weighting 0.086 were ranked in second to fifth levels respectively.