A multi-objective approach to sustainable disaster waste management

Muhammad Salman Habib, Biswajit Sarkar

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


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. 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.

Original languageEnglish
Pages (from-to)1072-1083
Number of pages12
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Issue numberJUL
Publication statusPublished - 2018
Event2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -
Duration: 2018 Jul 262018 Jul 27

Bibliographical note

Publisher Copyright:
© IEOM Society International.

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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