Technical gazette, Vol. 29 No. 1, 2022.
Original scientific paper
https://doi.org/10.17559/TV-20210623085943
Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition
Luojun Yang
; School of Transportation and Logistics, East China Jiaotong University, No. 808, East Shuanggang Road, Nanchang City, Jiangxi Province, China
Junhua Guo*
; School of Transportation and Logistics, East China Jiaotong University, No. 808, East Shuanggang Road, Nanchang City, Jiangxi Province, China
Cheng Zhang
; School of Transportation and Logistics, East China Jiaotong University, No. 808, East Shuanggang Road, Nanchang City, Jiangxi Province, China
Ping Wan
; School of Transportation and Logistics, East China Jiaotong University, No. 808, East Shuanggang Road, Nanchang City, Jiangxi Province, China
Hao Li
; School of Transportation and Logistics, East China Jiaotong University, No. 808, East Shuanggang Road, Nanchang City, Jiangxi Province, China
Abstract
Waste household appliances and electronic products usually contain harmful substances which need scientific and reasonable collection, classification, processing, recovery and disposal to achieve sustainable and effective recycling and utilization. In recent years, due to the poor management of waste household appliances recycling logistics system, safety accidents occur frequently, which seriously harm the health and life safety of the society. This paper studies the risk management of recycling waste household appliances under uncertain conditions and establishes a risk measurement model under fuzzy population density. Considering the multi-stage and classification diversity of waste household appliances recycling logistics, the multi-objective location routing model and location - routing model are established respectively. Based on the model complexity analysis, the solution method of multi-objective model is designed. Finally, the validity of the model and algorithm is verified by examples and tests.
Keywords
closed loop supply chain; multi-objective optimization; recycling logistics; site selection-path; uncertainty condition; waste household appliances
Hrčak ID:
269492
URI
Publication date:
15.2.2022.
Visits: 1.825 *