Improved Fuzzy Grey Relational-TOPSIS model for hazardous waste transporter selection

Abstract

With the continuous increase of hazardous waste production, environmental protection organizations all over the world pay more attention to it, and each link of the whole life cycle of hazardous waste becomes more and more standardized. Because waste production units (WPU) must strictly abide by the law to transport hazardous waste, and most WPU do not have the relevant qualifications, plus the particularity of hazardous waste, usually choose to outsource this business, so how to choose WPU becomes more important. This paper studies the selection of hazardous waste reverse logistics suppliers. Firstly, based on the characteristics of hazardous waste industry itself, this paper innovatively establishes the evaluation and selection index system of hazardous waste transporter (HWT) from five dimensions including technical capability, service level, economic level, environment and safety and additional services. Then the fuzzy grey relational-TOPSIS (F-GR-TOPSIS) model is established by improving the grey relational-topsis model. Through the fuzzy theory, the qualitative index is quantified, and the grey relational analysis method is used to give the objective weight to the index. Finally, an example is given to verify the effectiveness of the method, which provides a certain reference for WPU to select hazardous waste transporter.