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An Optimization Model of Reverse Logistics Network Design

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DOI: 10.23977/autml.2022.030202 | Downloads: 41 | Views: 1691


Bin Wang 1, Hao Hao 2, Hehuang Li 2


1 College of International Vocational Education, Shanghai Polytechnic University, 2360, Jinhai Road, Pudong New District, Shanghai, China
2 School of Economics and Management, Shanghai Polytechnic University, 2360, Jinhai Road, Pudong New District, Shanghai, China

Corresponding Author

Bin Wang


With the increasing development of China’s economy, product and materials of reverse logistics is also increasing. Reverse logistics network design is of great significance to reduce cost of reverse logistics enterprises and society. In this paper, 0-1 mixed integer programming is used to establish a reverse logistics network optimization model which takes into account establishment of fixed facilities and flow between different logistics nodes. The objective function is profit maximization, and the constraints contain the processing capacity of facilities vehicle loading capacity. Lingo 14.0 is used to solve the model. The results show that the application of the model can improve the profits of reverse logistics enterprises on the basis of optimizing logistics facility allocation and material flow.


supply chain; logistics; reverse logistics; network design; 0-1 mixed integer programming


Bin Wang, Hao Hao, Hehuang Li, The Connotation, An Optimization Model of Reverse Logistics Network Design. Automation and Machine Learning (2022) Vol. 3: 5-12. DOI:


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