Title: Optimisation design of reverse logistics network based on hybrid genetic algorithm

Authors: Yan Sun

Addresses: Xi'an Fanyi University, Xi'an 710105, Shaanxi, China

Abstract: Traditional enterprise reverse logistics network optimisation has problems of low sales profit and low asset income rate. A new hybrid genetic algorithm is proposed to optimise it. First, this paper determines the influencing factors of reverse logistics network optimisation. Then constructs an enterprise reverse logistics network model and designs the decomposition and coordination algorithm that divides this reverse network into small groups. Finally, it judges the optimisation scheme and solves the reverse logistics network model with the help of genetic algorithm to optimise. It can be seen from the comparison: through this method, the profit margin of sales and return on assets can reach 90%; it can enhance the operating profit of the enterprise.

Keywords: hybrid genetic algorithm; reverse logistics network; network model; decomposition coordination algorithm; genetic algorithm.

DOI: 10.1504/IJMTM.2022.10048550

International Journal of Manufacturing Technology and Management, 2022 Vol.36 No.2/3/4, pp.154 - 167

Received: 25 Dec 2020
Accepted: 03 Jun 2021

Published online: 23 Jun 2022 *

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