Education, Science, Technology, Innovation and Life
Open Access
Sign In

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

Download as PDF

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


Haixin Chen 1, Liuxin Chen 1, Weiyi Qu 1


1 Hohai University, Nanjing, Jiangsu, 210000, China

Corresponding Author

Haixin Chen


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.


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


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:


[1] Zheng Yunting, Lin Haoxiang, Yun Qingping, Chen Meijun, Ji Ying, Shi Yuhui, Chang Chun. Cigarette prices, affordability and price effects on cigarette demand in Beijing in the context of tobacco control policies. Modern preventive medicine, 2021, 48(10): 1830-1833.
[2] Liu Z Xuan, Li J X, Song L W. Cost analysis of cold chain logistics based on blockchain and RFID technology. Journal of Wuhan University of Technology: Information and Management Engineering Edition, 2022, 44(1): 75-83
[3] Rosenwein. An application of cluster analysis to the problem of locating items within a warehouse. IIE Transactions, 1994, 26(1):101-103.
[4] TN Larson, A Kusiak. Work-in-process space allocation: a model and an industrial application. IIE Transactions, 1995, 27(4):497-506
[5] Jiang Yanning, Hao Shuchi. An inventory-siting model based on aggregate coverage in cloud service model. Journal of Wuhan University of Technology (Information and Management Engineering Edition), 2020, 42(05):414-419+452.
[6] Subanatarajan Subbiah, Christian Schoppmeyer, Josè Manuel De La Fuente Valdès, Christian Sonntag, Sebastian Engell. Optimal Management of Shuttle Robots in a High-Rise Warehouse Using Timed Automata Models. IFAC Proceedings Volumes, 2013, 46(9): 1358-1363.
[7] Hooshang M. Beheshti, Dale Grgurich, Faye W. Gilbert. ABC Inventory Management Support System with a Clinical Laboratory Application. Journal of Promotion Management, 2012, 18(4): 414-435.
[8] Wang Jing, Yang Di, Wang Shi Zhi. Research on logistics warehouse operation optimization based on EIQ-ABC analysis, Logistics Technology, 2014, (10): 181-184.
[9] Xu Fatao. Research on the application of EIQ-ABC analysis method in distribution center storage space allocation. Culture and exploration, 2017, (9): 64-65.
[10] Hu Yujie. Application of EIQ analysis in the planning of finished goods warehouse of S company. Logistics Engineering and Management, 2018, (3):64-66.
[11] Bai Lu. EIQ-ABC-based tobacco distribution center layout design. Logistics Engineering and Management, 2012, 34(11):128-131.
[12] Tian S. Xing. Research on GIS-based warehouse cluster management information system. Huazhong University of Science and Technology, 2011.
[13] Zhang Zhihua, Lu Hailiang, Li Ji. Optimization of warehouse cluster response strategy based on tobacco order demand. Logistics Technology, 2012, 31(23): 274- 276.
[14] Yang Jun, Luo Wei, He Zhe, Xiong Shijin, Chen Yongfeng. Cargo balance and scheduling optimization model for multiple warehouse shipments in tobacco industry enterprises. Logistics Technology, 2019, 38(07): 123-130.
[15] Zhang Yanwei, Cheng Shasha, Zhang Xinyan. Collaborative layout optimization of zoned workshop system based on SEGA algorithm. Journal of Wuhan University of Technology: Information and Management Engineering Edition, 2021, 43(6):533-539547.

Downloads: 2807
Visits: 58637

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.