Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty. (1st December 2020)

• Record Type: Journal Article
• Authors: Fathollahi-Fard, Amir Mohammad; Ahmadi, Abbas; Al-e-Hashem, S.M.J. Mirzapour
• Is Part Of: Journal of environmental management. Volume 275(2020)
• Publication Date: 2020-12-01
• Subjects: Sustainable development -- Water supply chain -- Closed-loop supply chain -- Water supply and wastewater collection system -- Multi-objective stochastic optimization model -- Social engineering optimizer; Environmental policy -- Periodicals; Environmental management -- Periodicals; Environment -- Periodicals; Ecology -- Periodicals; 363.705
• DOI: 10.1016/j.jenvman.2020.111277
• Languages: English
• ISSNs: 0301-4797

Abstract

Abstract: Today, an increase in the drought and water shortage all around the world is a challengeable threat for different governments and international committees. Water supply chain aims to manage the water consumption and to control the water shortage. Contrary to most of previous studies focused on the forward directions of the water supply chain, this paper also considers the reverse logistics known as a Closed-Loop Supply Chain (CLSC). Hence, an integrated Water Supply and Wastewater Collection System (WSWCS) under uncertainty is proposed. Furthermore, regarding the trend of sustainable development, the environmental dimensions and social benefits of the integrated WSWCS are contributed. To meet the standards of the sustainable development in developing countries, a case study in Iran is applied to a novel multi-objective stochastic optimization model based on triple bottom lines of sustainability. Having already been employed to similar optimization problems, the Social Engineering Optimizer (SEO) has been never applied in this research area. Another innovation of this study is to introduce an improved multi-objective SEO to solve this complicated model. Eventually, with regards to an extensive comparison contributing to the Pareto-based metrics and different sensitivities, some managerial implications are concluded as the main findings. Highlights: Developing a novel multi-objective stochastic optimization model to design a sustainable water supply network. Considering triple bottom lines of sustainability for an integrated water supply and wastewater collection system. Applying the life cycle assessment method to estimate the sustainability aspects. Solving the case study of Urmia Lake by an improved social engineering optimizer.