Multi-objective two-stage stochastic optimization model for post-disaster waste management
References
- Boonmee, C., Arimura, M., Asada, T., 2018. Location and allocation optimization for integrated decisions on post-disaster waste supply chain management: On-site and off-site separation for recyclable materials. International Journal of Disaster Risk Reduction, 31, 902-917, DOI: 10.1016/j.ijdrr.2018.07.003
- Boonmee, C., Arimura, M., Kasemset, C., 2021. Post-disaster waste management with carbon tax policy consideration. Energy Reports, 7, 89-97, DOI: 10.1016/j.egyr.2021.05.077
- Brown, C., Milke, M., 2016. Recycling disaster waste: Feasibility, method and effectiveness. Resources, Conservation and Recycling, 106, 21-32, DOI: 10.1016/j.resconrec.2015.10.021
- Coppola, D.P., 2006. Introduction to international disaster management. Elsevier, Massachusetts, USA.
- CRED, 2021 Disasters in numbers. Brussels, Available: https://www.un-spider.org. [Accessed: 15 July 2022].
- Fetter, G., Rakes, T., 2012. Incorporating recycling into post-disaster debris disposal. Socio-Economic Planning Sciences, 46(1), 14-22, DOI: 10.1016/j.seps.2011.10.001
- Habib, M.S., Sarkar, B., 2017. An integrated location-allocation model for temporary disaster debris management under an uncertain environment. Sustainability, 9(5), 716, DOI: 10.3390/su9050716
- Habib, M.S., Sarkar, B., 2018. A multi-objective approach to sustainable disaster waste management. 2nd European International Conference on Industrial Engineering and Operations Management, Paris, France, 1072-1083.
- Hu, Z.H., Sheu, J.B., 2013. Post-disaster debris reverse logistics management under psychological cost minimization. Transportation Research Part B: Methodological, 55, 118-141, DOI: 10.1016/j.trb.2013.05.010
- Karunasena, G., Amaratunga, D., Haigh, R., Lill, I., 2009. Post disaster waste management strategies in developing countries: case of Sri Lanka. International Journal of Strategic Property Management, 13(2), 171-190, DOI: 10.3846/1648-715X.2009.13.171-190
- Lorca, Á., Çelik, M., Ergun, Ö., Keskinocak, P., 2017. An optimization-based decision-support tool for post-disaster debris operations. Production and Operations Management, 26(6), 1076-1091, DOI: 10.1111/poms.12643
- Manopiniwes, W., Irohara, T., 2017. Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response. International Journal of Production Research, 55(4), 979-996, DOI: 10.1080/00207543.2016.1211340
- Onan, K., Ülengin, F., Sennaroğlu, B., 2015. An evolutionary multi-objective optimization approach to disaster waste management: A case study of Istanbul. Turkey, Expert Systems with Applications, 42(22), 8850-8857, DOI: 10.1016/j.eswa.2015.07.039
- Pramudita, A., Taniguchi, E., Qureshi, A.G., 2014. Location and routing problems of debris collection operation after disasters with realistic case study. Procedia-Social and Behavioral Sciences, 125, 445-458, DOI: 10.1016/j.sbspro.2014.01.1487
- Wakabayashi, Y., Peii, T., Tabata, T., Saeki, T., 2017. Life cycle assessment and life cycle costs for pre-disaster waste management systems. Waste Management, 68, 688-700, DOI: 10.1016/j.wasman.2017.06.014
Language: English
Page range: 58 - 68
Submitted on: Nov 1, 2022
Accepted on: Jan 12, 2023
Published on: Feb 15, 2023
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Related subjects:
© 2023 Chawis Boonmee, Komgrit Legsakul, Mikiharu Arimura, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.