SUSTAINABLE SOLID WASTE MANAGEMENT VEHICLE ROUTING PROBLEM CONSIDERING DRIVERS HEALTH STATE AND RISK OF ACCIDENTS
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Date
2024-03-04
Authors
Snouber, Abedalaziz
Journal Title
Journal ISSN
Volume Title
Publisher
An-Najah National University
Abstract
Due to the rapid growth of urbanization, the issue of solid waste management has drawn the attention of society and all stakeholders, because of the harm that will affect citizens and the environment if waste is not managed properly. Our research aims at solving a solid waste management vehicle routing problem that integrates the three pillars of sustainability; environmental, economic, and social. More specifically, our approach intends to investigate the effect of different drivers’ health state on the different parameters in solid waste management networks, by estimating the probability of suffering from work-related injuries, using Markov’s Chain model. In addition, our approach extends the reality of the model by considering different parameters and variables that will improve its practicality, such as including different cost functions. Furthermore, to ensure sustainable business practices, our model aims at minimizing the CO2 emissions resulting from different types of waste vehicles. Also, the social factor was studied by considering drivers’ health condition, minimizing the risk of accidents facing drivers, and minimizing any deviation from balanced workload between drivers. The Non-dominated Sorting Genetic Algorithm (NSGA) was used to solve the developed model, due to its ability to tackle multi-objective vehicle routing problems in general, and Solid Waste Management Vehicle Routing Problems in particular. After solving the proposed model, results revealed the effect of driver’s health states on different cost functions, in addition to the negative impact of high travel distance and waste vehicle load on the health condition of drivers. Sensitivity analyses illustrated how different model variables and parameters interact with each other, in addition to the effect of travel distance and vehicle load on drivers’ health conditions. The execution of this model in the waste management sector yields many advantages for service providers, due to its ability to monitor the health condition of drivers at each node in the network. This results in productive healthy drivers carrying out operations, who can achieve financial success along with a healthy and safe working environment.