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Study on the Optimization of Cigarette Warehouse Storage Area in Tobacco Enterprises Based on Multi-objective Planning

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DOI: 10.23977/msom.2022.030404 | Downloads: 5 | Views: 385

Author(s)

Haixin Chen 1, Liuxin Chen 1, Weiyi Qu 1

Affiliation(s)

1 Hohai University, Nanjing, Jiangsu, 210000, China

Corresponding Author

Haixin Chen

ABSTRACT

In order to enhance the tobacco enterprise's complex raw material specifications, the current warehouse partitioning mainly relies on manual labor, resulting in the problem of low efficiency in and out of the warehouse, build a multi-objective function with the goal of optimal efficiency and the least number of cross-regional collection, combined with K-means clustering algorithm, solve the warehouse partitioning scheme, combined with the example to get the specific division of the tobacco enterprise warehouse storage area. Then, through the comparison of the inlet and outlet efficiency before and after the division, we can test the optimization scheme of the warehouse area and complete the optimization of the warehouse module from the division of the warehouse area to the guidance of the collection of goods.

KEYWORDS

Tobacco storage, warehouse partitioning, k-means clustering algorithm, access efficiency

CITE THIS PAPER

Haixin Chen, Liuxin Chen, Weiyi Qu, Study on the Optimization of Cigarette Warehouse Storage Area in Tobacco Enterprises Based on Multi-objective Planning. Manufacturing and Service Operations Management (2022) Vol. 3: 25-34. DOI: http://dx.doi.org/10.23977/msom.2022.030404.

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