A novel in-Warehouse Picking Optimization Model


Authors : Shi-gang Zhou; Yuan Gao

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3v47x6s

DOI : https://doi.org/10.5281/zenodo.6879279

With the rapid development of the Internet and e-commerce industry, the distribution efficiency of logistics is a key factor affecting the economic efficiency of e-commerce, while in-warehouse picking, a core step in logistics, plays an extremely important role. In this paper, we start from the in-warehouse picking problem and build the shortest path model based on the immune algorithm following the application prospect of the traveling merchant problem to be applicable to many practical social applications so as to promote the economic development.

Keywords : TSP problem; immune algorithm; Manhattan algorithm; queuing theory

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