4.6 Article

Interactive strategy of carbon cap-and-trade policy on sustainable multi-objective solid transportation problem with twofold uncertain waste management

Journal

ANNALS OF OPERATIONS RESEARCH
Volume 326, Issue 1, Pages 157-197

Publisher

SPRINGER
DOI: 10.1007/s10479-023-05347-w

Keywords

Waste management; Multi-objective decision making; Sustainability; Solid; transportation problem; Cap-and-trade policy; Type-2 intuitionistic fuzzy; Neutrosophic; linear programming and E-Constraint method

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An integrated multi-objective environment is investigated in this paper to evaluate a waste management problem in order to develop sustainability. Three objective functions are optimized, including cost, time, and carbon emission. Cap and trade policy is used to reduce carbon emission and provide economic opportunities. A strategy is proposed to optimize sustainability factors in solid waste management. Numerical problems are evaluated using advanced methods and Pareto-optimal solutions are obtained, suggesting the complexity of applying cap and trade policy or waste management in real-world situations. The overall conclusion recommends utilizing carbon policies to minimize carbon emissions and establish waste management projects based on sustainability.
An appropriate and sustainable waste management plan is required in different scenarios for global development. The main goal of this paper is to evaluate a waste management problem by investigating an integrated multi-objective environment through solid transportation problem. To develop sustainability, three objective functions are optimized by choosing as cost for economical opportunity, time for social satisfaction and carbon emission for environmental view. Cap and trade policy is regarded here to minimize carbon emission and to provide some economical opportunities to the system. To control hesitancy of this scenario, twofold uncertainty (type-2 intuitionistic fuzzy) is incorporated here, and this uncertainty is defuzzified by a ranking operator. A strategy is proposed here to optimize three factors of sustainability by an intellectual model formulation of solid waste management. To check the appropriateness of the proposed model, two numerical problems are evaluated using two advanced methods, namely, neutrosophic linear programming and e-constraint method. The Pareto-optimal solutions are derived by the variation of cap value and fulfilling the criteria of sustainability. The obtained results indicate that cap and trade policy or waste management, or both are highly sophisticated for applying in real-world application. The overall conclusions recommend that a government or NGO should encourage transportation system, or the industry to minimize carbon emission by utilizing several carbon policies. It can assist to establish different new project of waste management in a discrete environment, based on sustainability.

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