چكيده به لاتين
Abstract
One of the problems encountered by urban communities is the hospital waste production that requires a special disposal system. In a large city such as Tehran, nearly 100 tons of hospital waste is generated daily 18 tons of which are infectious waste to be minimized and sterilized. Usually two approaches are adopted to fulfill this goal outsourcing or doing it in the hospital. Unfortunately, due to lack of proper management and the use of undesirable methods, in addition to high costs, the health of the community and the environment are at risk. Accordingly, this dissertation is aimed at providing a framework, two models of hospital waste management network design under uncertainty conditions and an appropriate method for solving it. It also defines outsourcing or non-outsourcing policies for waste sterilizing. The objectives of the problem include simultaneous minimization of total cost (shipping costs and operating costs), total transport risk and operational risk. For precise problem solving, the augmented epsilon-constraint method has been used to produce the optimal and efficient Pareto boundaries. Finally, the proposed methodology is validated by the production and solving of sample problems in different aspects and the analysis and comparison of the conditions of stability against definite conditions. To check the reliability of the model, hospitals in Tehran metropolis were analyzed as a case study. The results show that the decision to equip hospitals with sterilization systems with the capabilities of the necessary technologies reduces the risk level, vehicle trafficking and transportation of hazardous hospital waste and declines the costs considerably.
Keywords: hazardous waste management, robust optimization, hospital waste collection and disposal chain design, augmented epsilon-constraint method, mixed-integer programming model
