Track: Sustainable Operations and Supply Chain Management

Abstract

The phenomena of global warming have increased the frequency of natural disasters. These disasters generate thousands of tons of waste and cause loss of human lives, environmental damages, and economic losses every year. Currently, disaster response policies are reactive in nature with the aim to bring the community back to normal routine. Increased resilience against future disasters can only be achieved by working on long-term planning and setting goals for ecological, economic and social sustainability in disaster response policies. Keeping in view the importance of the considered issue, this study proposed an optimization model for disaster waste processing supply chain network considering economic aspect via total waste processing cost, environmental aspect by Greenhouse Gas (GHG) emissions from waste processing, and social aspect by job opportunities from waste processing. A possibilistic programming approach is used to cope with the post-disaster uncertain environment and a generic interactive fuzzy solution methodology has been proposed to obtain preferred compromise solutions for proposed model. Finally, to demonstrate the applicability of the proposed supply chain network optimization model and solution methodology numerical experiments and sensitivity analysis are performed on a large scale case problem.