Abstract
With the continuous progress and development of the global economy, our requirements for the quality of goods and services provided by service providers and suppliers are becoming higher and higher. In order to meet the needs of our customers, many enterprises expand their market share. We need to evolve to respond and adjust quickly to a highly changeable market. Nowadays, social competition is no longer just product competition between enterprises in simple industries, but gradually evolved into joint competition between social supply chains and supply chains. Logistics has always been a crucial link in the development of supply chain, so warehousing management, as the core part of logistics, especially logistics warehousing center, has attracted more and more attention from the public. In many logistics enterprises, how to effectively improve the warehouse location optimization rate is regarded as the top priority. Nowadays, in the logistics warehouse center, it is an effective way to improve the efficiency of warehouse location optimization to optimize its original warehouse location effectively. Whether the warehouse location is allocated reasonably will affect the efficiency of the overall warehousing operation of the logistics warehouse center, and then affect the rate of profits for enterprises.
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Wang, X., Xia, Q. (2020). Optimization of Logistics Warehouse Location Based on Genetic Algorithm. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_102
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DOI: https://doi.org/10.1007/978-3-030-15235-2_102
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