Design of the Reverse Logistics System for Medical Waste Recycling Part II
Route Optimization with Case Study under COVID-19 Pandemic
Chaozhong Xue (Tongji University)
Yongqi Dong (TU Delft - Transport and Planning)
Jiaqi Liu (Tongji University)
Yijun Liao (Tongji University)
Lingbo Li (Tongji University)
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Abstract
Medical waste recycling and treatment has gradually drawn concerns from the whole society, as the amount of medical waste generated is increasing dramatically, especially during the pandemic of COVID-19. To tackle the emerging challenges, this study designs a reverse logistics system architecture with three modules, i.e., medical waste classification & monitoring module, temporary storage & disposal site (disposal site for short) selection module, as well as route optimization module. This overall solution design won the Grand Prize of the “YUNFENG CUP” China National Contest on Green Supply and Reverse Logistics Design ranking 1 st . This paper focuses on the design of the route optimization module. In this module, a route optimization problem is designed considering transportation costs and multiple risk costs (e.g., environment risk, population risk, property risk, and other accident-related risks). The Analytic Hierarchy Process is employed to determine the weights for each risk element, and a customized genetic algorithm is developed to solve the route optimization problem. A case study under the COVID-19 pandemic is further provided to verify the proposed model. Limited by length, detailed descriptions of the whole system and the other modules can be found at https://shorturl.at/cdY59.