Paper
22 May 2023 Research on the construction of reverse logistics network of waste household appliances under self-operating mode
Xiahuan Huang, Xifu Wang, Mengru Shen, Chun Wu
Author Affiliations +
Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 1264016 (2023) https://doi.org/10.1117/12.2673534
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China
Abstract
At present, many manufacturers in China blindly implement reverse logistics without proper planning, which leads to a large number of waste household appliances flowing into informal recycling channels and dismantling markets, causing resource waste and environmental pollution. Therefore, this paper studies the construction of reverse logistics network of waste household appliances, establishes a mixed integer programming model with the goal of maximizing revenue, and verifies the effectiveness and rationality of the model and algorithm by combining genetic algorithm and taking Company M as an example.
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Xiahuan Huang, Xifu Wang, Mengru Shen, and Chun Wu "Research on the construction of reverse logistics network of waste household appliances under self-operating mode", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 1264016 (22 May 2023); https://doi.org/10.1117/12.2673534
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KEYWORDS
Manufacturing

Reverse modeling

Transportation

Genetic algorithms

Computer programming

Data modeling

Industry

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