Sustainable Supplier Selection Using Fuzzy Multi-Attributive Border Approximation Area Comparison (F-MABAC) in Chemical Industry

The rapid growth of the industry in today's competitive environment has increased competition among companies. Inorder to gain business competitiveness, companies strive to focus on fulfilment of customer expectations of higher quality, lower prices, shorter lead times, and less environmental impact. Sustainability is an organization's ability tomake decisions in real-time without an adverse impact on the future state of the environment, society and business stability. Since the production of most chemicals is highly hazardous and has the potential to cause irreversible environmental damage and have a negative impact on public health, safe and sustainable production is the main dictumfor the development of sustainable chemical enterprises. Therefore, this paper addresses this issue by proposing amulti-method and multi-criteria decision-making framework for SSS in the chemical industry. Based on the specific characteristics of the chemical industry, this study uses AHP to analyse the economic, social, and environmental dimensions. Finally, this study will use Fuzzy MABAC to analyse alternatives. The proposed approach and decision making model can help supply chain managers in the chemical industry to select more sustainable suppliers, respond quickly to market demands, and maintain high competitiveness in the market.