TY - JOUR
T1 - Large-scale disaster waste management under uncertain environment
AU - Habib, Muhammad Salman
AU - Sarkar, Biswajit
AU - Tayyab, Muhammad
AU - Saleem, Muhammad Wajid
AU - Hussain, Amjad
AU - Ullah, Mehran
AU - Omair, Muhammad
AU - Iqbal, Muhammad Waqas
PY - 2019/3/1
Y1 - 2019/3/1
N2 - 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 to bring the community back to normal routine. However, increased resilience against future disasters can 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 proposes a large-scale disaster waste management supply chain model, considering economic aspect via total waste processing, environmental aspect by greenhouse gas emissions from disaster waste processing, and social aspect by job opportunities generated during waste processing. To demonstrate the applicability of the proposed supply chain model, numerical experiments are performed on a large-scale case problem. Results show that there is a strong trade-off among the dimensions of sustainability. If decision makers want to achieve higher satisfaction levels against environmental and social objectives, the operational cost of waste management will increase accordingly. Numerical studies obtain the results in accordance with the values of the confidence level of decision makers and coefficient of compensation decided by the managers which also provides the flexibility for the decision makers of developing countries to obtain preferred compromised solution in accordance with their own preferences for the dimensions of sustainability during disaster waste management operation.
AB - 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 to bring the community back to normal routine. However, increased resilience against future disasters can 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 proposes a large-scale disaster waste management supply chain model, considering economic aspect via total waste processing, environmental aspect by greenhouse gas emissions from disaster waste processing, and social aspect by job opportunities generated during waste processing. To demonstrate the applicability of the proposed supply chain model, numerical experiments are performed on a large-scale case problem. Results show that there is a strong trade-off among the dimensions of sustainability. If decision makers want to achieve higher satisfaction levels against environmental and social objectives, the operational cost of waste management will increase accordingly. Numerical studies obtain the results in accordance with the values of the confidence level of decision makers and coefficient of compensation decided by the managers which also provides the flexibility for the decision makers of developing countries to obtain preferred compromised solution in accordance with their own preferences for the dimensions of sustainability during disaster waste management operation.
KW - sustainable disaster waste management
KW - greenhouse gas emissions
KW - disaster waste recycling
KW - social sustainability
KW - possibilistic programming
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85058027397&partnerID=MN8TOARS
U2 - 10.1016/j.jclepro.2018.11.154
DO - 10.1016/j.jclepro.2018.11.154
M3 - Article
SN - 0959-6526
VL - 212
SP - 200
EP - 222
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
ER -