TY - JOUR ID - 118852 TI - A Green Hazardous Waste Location-routing Problem Considering the Risks Associated with Transportation and Population JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Delfani, F. AU - Kazemi, A. AU - Seyedhosseini, S. M. AU - Niaki, S. T. A. AD - Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran AD - School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran AD - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran Y1 - 2020 PY - 2020 VL - 33 IS - 11 SP - 2272 EP - 2284 KW - hazardous waste KW - Location-routing problem KW - Green emissions KW - stochastic constraint KW - Multi-Objective Optimization DO - 10.5829/ije.2020.33.11b.18 N2 - The researches on environmental and sustainability are an active topic, especially in the waste management. As such, the hazardous waste optimization is an active research topic in developing countries which may be integrated with carbon emissions and green subjects. This grand challenge motivates the current research to contribute a new multi-objective optimization model to address the green hazardous waste location-routing problem. The proposed multi-objective optimization model establishes four objectives simultaneously for the first time. In addition to the total cost and the greenhouse gas emissions of the transportation systems as the two main objectives, another objective function aims to minimize the risk of transportation of the hazardous waste alongside the waste residue associated with the people’s exposure around transportation paths. Furthermore, the total risk linked with the population in a certain radius around the treatment and disposal centers is minimized. As the proposed model is complex with conflicting objectives, several multi-objective decision making (MODM) tools are employed and compared with each other based on different test problems associated with an industrial example. Based on the solution quality and the computational time, the technique for the order of preference by similarity to the ideal solution (TOPSIS) is selected as the strongest technique to assess the performances of all five MODM methodologies. UR - https://www.ije.ir/article_118852.html L1 - https://www.ije.ir/article_118852_6dd9fce2a18e629695cd0b5efbe1b2ab.pdf ER -