2022/07/03 by Abed Zabihian-Bisheh, Zabihian-Bisheh, Abed, Hadi Rezaei Vandchali +5
Decision Sciences · Engineering · Environmental Science · Mathematics · #90B30 #90B50 #90C11 #FOS: Mathematics #G.m #Municipal Solid Waste Management #Optimization and Control (math.OC) #Optimization and Mathematical Programming #Risk and Safety Analysis #acm:90B30 #acm:90B50 #acm:90C11 #math.OC #msc:90B30 #msc:90B50 #msc:90C11
paper · pdf · doi:10.48550/arxiv.2207.01043
25 pages, 6 figurs, 12 tables
arxiv created 2022/07/03 · openalex publication_date 2022/07/03 · arxiv updated 2022/07/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A significant amount of hazardous waste generated from health sectors and industrial processes has posed a major threat to human health by causing environmental issues and contamination of air, soil, and water resources. This paper presents a multi-objective mixed-integer nonlinear programming (MINLP) formulation for a sustainable hazardous waste location-routing problem. The location of the facilities and routing decisions for transporting hazardous waste and the waste residue is considered to design a suitable waste collection system. The presented model simultaneously minimizes the total costs of the waste management system, total risks from transportation and facilities, along with CO2 emissions. A real-world case study is presented to illustrate the applicability of the proposed model. To illustrate the significance of sustainability, the results of the original model are compared with the results of the model without considering sustainability. It indicates that, under the condition when sustainability is not taken into account, total cost, transportation, and site risk along with CO2 emission increased, which in turn demonstrated the importance of sustainability. Furthermore, the managerial insights gained from the optimal results would enable the managers to make better decisions in the hazardous waste management system.