A Green Hazardous Waste Location-routing Problem Considering the Risks Associated with Transportation and Population

Abstract

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.

El problema de localización y ruteo con múltiples objetivos: una revisión de literatura

“…( 42) inician esta práctica evaluando, dentro del campo económico, los costos asociados al uso del combustible de los vehículos y las emisiones de CO 2 . Sin embargo, son (43) quienes introducen el concepto de problema de localización y ruteo verde o GLRP para los residuos peligrosos, en el cual proponen un estudio que minimiza simultáneamente costos, riesgo de transporte y localización y emisiones de CO 2 dentro de sus objetivos. Este enfoque hacia la minimización de emisiones ha sido evaluado en estudios posteriores: (44)(45)(46)(47).…”

Network Structures in Hazardous Waste Management Systems: Advances, Characteristics and Challenges

“…Previous studies optimized costs and risks mainly. Later, Delfani et al [19] proposed the concept of green location-routing problem (GLRP) applied to hazardous waste, with minimization of CO2 emissions within its objectives.…”

Proposing a model for a resilient supply chain: A meta-heuristic algorithm

“…In addition, the amount picked up by the vehicle from node i minus the amount delivered to this retailer in the current period. Constraint (8) guarantees that the vehicle capacity should not be exceeded and it means that only when 𝑥 𝑖𝑗𝑘𝑡 variable gets a value the vehicle can visit the edge(i,j). Constraint (9) ensures that the vehicles cannot take the delivery of products from the retailer more than the amount of their inventory in the previous period.…”

“…Offering a fair and affordable price and continuous follow-up of operations from loading to delivery are among these challenges in the network. In Inventory Routing Problem (IRP), the goal of optimization is to find the best strategy for product inventory management and determine the best vehicle configuration, routes, product types and their quantities to deliver to each customer, while minimizing the total cost of inventory and transportation [8]. As the problem of allocating and routing using a network is a hard problem, meta-heuristics are used to solve it.…”