Prioritization of Supply Chain Components in Chemical Industries Using Combined ARAS, VIKOR, and TOPSIS Techniques: A Case Study in the Chemical Industrial Zone of Qom Province

Abstract

The aim of this research is to design and improve the value chain of the knowledge-based chemical industrial zone in Qom Province. This study has been conducted by identifying and ranking technological products using a combination of ARAS, VIKOR, and TOPSIS techniques. The research is applied in nature and descriptive in method. The statistical population includes 295 managers and experts from companies located in the chemical industrial zone of Qom in 2024, with a sample size of 167 determined using the Coch ARAS formula. The data collection tool was a researcher-made questionnaire, whose content validity was confirmed by a group of experts, and expert opinions were used to evaluate its construct validity. To assess the reliability of the questionnaire, Cronbach's alpha coefficient was employed, which was above 0.7. The data obtained were analyzed using Excel software, and a model was developed to enhance the value chain and improve the efficiency of the supply chain in the chemical industry. In this regard, Porter’s value chain model was utilized to determine the added value of chemical industry products. Moreover, by employing ARAS, VIKOR, and TOPSIS techniques, technological products were accurately ranked and prioritized. This research demonstrated that by precisely identifying technological products and optimizing supply chain processes, costs can be reduced, productivity increased, and the competitiveness of knowledge-based chemical industries in domestic and international markets enhanced. Ultimately, the results of this study can serve as a model for similar industries in other provinces, providing a basis for sustainable development and innovation in the chemical industry.