A Multi-Objective Optimization Model for Multi-Facility Decisions of Infectious Waste Transshipment and Disposal

Infectious waste disposal is a crucial concern in many areas. Not only the obnoxious, but it can also pose vital risk to human health. Disposal of infectious incurs higher costs than general and must abide by stricter regulations. In this paper, formulated as multi-objective optimization model. The objectives encompass economic, social, environmental concerns. To save cost, transshipment facilities function consolidation points are proposed integrated economic objective includes construction operational facilities. social considers communities surrounding facilities, while carbon dioxide emission used measure objective. model reformulated based on lexicographic weighted Tchebycheff method ensure that Pareto frontier solutions obtained. Then applied health region Thailand. Daily every-other-day collection intervals compared examine additional benefits. Certain sensitivity analyzed. After comparing several solutions, compromise among all three suggested. It composed two each with 1000 kg capacity. Moreover, if solution executed interval, overall be saved. A analysis fuel price found was not very sensitive against an increase price, when increased 20% 7%. Lastly, daily wastes doubled, values rise, ranging from 56% 163%. new suggests number four, decrease ones two.