Background: In recent years, waste management in health institutions has become very important because of its damage to human health and the environment. Medical waste, which has occurred as a result of population growth and industrialization, has become an important environmental issue. In fact, although the waste produced from health institutions accounts for a much smaller share than other wastes, it has the highest risk among all waste groups.
Aim: The purpose of this research is to design a multi-objective model to optimize the medical waste management process during infectious diseases.
Methodology: In order to achieve the goal of the research, two general phases have been considered for this research. In the first part of this research, theoretical literature has been studied and theoretical gaps have been found. Therefore, in this section, first of all, the types of costs in the medical waste collection network have been examined according to the indicators presented in scientific studies and also interviews with experts. In the next step, three minimization objective functions were modeled in order to optimize the reverse supply chain of medical waste. Also, the weight of each objective function is determined using the Mikhailov approach in the fuzzy environment.
Conclusions: In order to solve the research model, at first, the weight of each objective function was used using the fuzzy Mikhailov approach. The results of this method have shown that the weight of the objective functions of the amount of uncollected waste is in the first place, the risk objective pan is in the second place, and the cost objective function is in the third place. Also, in order to solve the research model, the lexicograph method was used and three scenarios were considered to solve the model. The mathematical model of the research can show efficiency solutions for each objective function of the medical waste management process. As a result, by applying this process in all categor