sustainable supply chain network design with price- based demand considering sound and dust pollutions: a case study

The mining industry is taken into consideration due to its significant role in the economic growth of developing countries. moreover, stone quarries have great effects on other industry sectors such as building and production. thus, this research presents a three -objective multi-period multi-product mixed-integer quadratic programming problem to optimize a sustainable stone supply chain network design. maximizing total profit as an economic aspect, minimizing sound pollution as a social aspect, and minimizing dust pollution as an environmental aspect of sustainability are considered simultaneously in this paper for the first time. furthermore, stone pricing is considered in this paper through a price-based demand. an ε-constraint approach is utilized to solve the multi-objective model and achieve the non- dominated solutions. a real case study on iranian stone quarries is analyzed to show the applicability of the addressed model. finally, the managerial insights are presented as guidance to the government and managers for better decisions in the mentioned supply chain. the results show the great potential of installing quarries in the center of iran geographically and that razavi khorasan is the best area for exporting stones.