Presenting an Integrated Quasi-Data Envelopment Analysis Model Based on Fuzzy Goal Programming for Performance Evaluation of Iran’s Petrochemical Industries
Keywords:
Quasi-Data Envelopment Analysis, Fuzzy Goal Programming, Petrochemical IndustriesAbstract
The importance of the petrochemical industry as a dynamic and leading sector in the economies of countries producing these products is undeniable. According to experts, this industry generates an added value approximately ten to thirty times greater than that obtained from the export of crude oil and natural gas. Nevertheless, examining the optimal combination of input factors in these industries, including raw materials and feedstock consumption, human resources, and investment costs, in order to achieve optimal production and, in summary, to evaluate the efficiency of these industries in the country, is an issue that has not yet been comprehensively assessed. The present study was conducted with the aim of presenting an integrated quasi-data envelopment analysis model based on fuzzy goal programming for evaluating the performance of Iran’s petrochemical industries. To achieve this objective, four research questions and subsidiary objectives were investigated. This study is applied and descriptive in nature, and the statistical population consisted of petrochemical companies located in Assaluyeh, Iran. The data collection instruments used in this study included documents and records, interviews, and questionnaires. Based on the results obtained from the interviews (qualitative research for identifying efficiency indicators from the perspective of data envelopment analysis), as well as questionnaires and documents (quantitative research for obtaining cost, time, profit, production, and related data), the statistical sample size comprised 43 participants. Confirmatory factor analysis was employed as the analytical tool for interview results, and the findings indicated appropriate validity and reliability of the measurement model for the identified indicators. The mathematical model of quasi-data envelopment analysis and fuzzy goal programming was designed and solved. Based on the results, twenty-two petrochemical companies were evaluated in terms of efficiency, ranked according to performance and efficiency, and their deviations from predetermined goals were identified. The proposed model was also validated, and practical recommendations were presented at the conclusion of the study.
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Copyright (c) 2026 Rahim Abdollahi (Author); Mir Hossein Seyyedi; Kamaladin Rahmani (Author)
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