Journal of Industrial Engineering and Management Studies

Abstract Nowadays, financing is one of the fundamental challenges facing economic enterprises, influencing all organizational activities related to product manufacturing and service provision. Given the importance of the steel industry as the second-largest non-oil export sector in the country—alongside the threats and opportunities in global trade—assessing an organization's ability to manage risks in this field is of undeniable significance. Effective financing methods play a crucial role in sustaining operations, executing profitable projects, and ensuring companies' survival in today's competitive landscape. This study aims to identify and rank risk control factors in financing the steel industry, with a focus on Esfarayen Steel Company. The research follows a descriptive, survey-based, and applied methodology. Experts and specialists in the steel sector were consulted to identify key risk control factors, and their rankings were determined using the Delphi method and pairwise comparisons. Data analysis was conducted using SPSS (version 23) and Expert Choice (version 11). The results indicate that exchange rate risk is the most critical factor, followed by sanctions, export reduction, interest rate fluctuations, market recession, economic instability, and bankruptcy risk. Sharia compliance risk was ranked the lowest. The study suggests risk mitigation as the most effective approach for managing exchange rate risk and provides further recommendations for addressing other financial risks.

Abstract Regarding contractors are one of the fundamental features of construction and industrial projects, therefore the selection of contractors is one of the major decisions of managers and decision-makers. This paper uses the multi-criteria decision-making method Analytic Hierarchy Process (AHP) to incorporate the weightings of input and output variables into Data Envelopment Analysis (DEA) for evaluation and ranking of contractors (Zarand Iranian Steel Company). At first, according to previous research, the most effective and important evaluation indicators of contractors are selected, then in the proposed model with the AHP approach, seven input indicators and three output indicators are weighted and ranked, and the performance of 20 contractors from one of the company's projects is determined and ranked with the input-oriented CCR model. By applying this approach, decision-makers and practitioners can effectively compare operational efficiency between contractors, and therefore generate more informed and they can provide appropriate solutions to increase the efficiency of other contractors.