Abstract
Solid waste management (SWM) has become one of the priority issues to decision makers in modern municipalities. This paper proposes a life cycle assessment-based (LCA-based) two-stage mixed-integer stochastic programming model for an integrated solid waste management (ISWM) system design. Different from previous models that commonly focus on improving the overall performance of an ISWM system, the proposed model considers the sustainability of each involved individual agent within the complex system. In addition, the proposed model simultaneously considers both internal and external uncertainties during the ISWM system design. The simulation results show that the proposed model can help decision makers identify what the optimal ISWM system design under uncertainties is and how uncertainties influence the optimal ISWM system design. The model comparison shows that considering individual agent sustainability during the ISWM system design process can help enhance the system stability under uncertain circumstances.
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Xiong, J., Ng, T.S.A., Wang, S. (2015). Integrated Solid Waste Management System Design under Uncertainty. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, KC. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems - Volume 2. Proceedings in Adaptation, Learning and Optimization, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-13356-0_13
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DOI: https://doi.org/10.1007/978-3-319-13356-0_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13355-3
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