Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 3
746-755

Research on collaborative optimization of order batching and picking in two-block warehouse

Zhang Yanjua,b,c
Li Quna
Zhang Penghana
Li Ruia
a. School of Business Administration, b. Management Science & Engineering Research Institute, c. Modern Enterprise System Innovation Research Center, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0326

Abstract

In response to the problem of slow delivery of goods due to low order sorting efficiency, this paper proposed a collaborative optimization model based on two-block warehouse order batching and picking, and designed a multi-stage CWDP-BSA algorithm to solve the model. In the saving algorithm, it introduced quick sorting method to sort the distance savings of order combinations. Considering the carrying capacity of AGV, under the guidance of the optimal strategy in the multi-stage decision-making process, it obtained the state transition equation to solve the order batch model and determine the initial batch plan. And it adopted a multi factor selection backtracking search algorithm to solve the picking path model, in order to determine the initial picking plan. Based on the two schemes, establishing and solving a collaborative optimization model for order batching and picking based on order time windows were to further optimize order batching and picking schemes. Finally, through comparative experiments, it can reduce the average picking distance of each batch of orders by about 24.56%, and shorten the optimized picking time by about 11.4% compared to before. When solving examples of different scales, the CWDP-BSA algorithm performs better than CPLEX software and other algorithms, which verifies the stability and effectiveness of the model and algorithm. Experiments show that the collaborative optimization of order batching and item picking strategies can effectively improve the efficiency of order delivery.

Foundation Support

辽宁省经济社会发展研究课题项目(2023lslqnwzzkt-013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0326
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 746-755
Serial Number: 1001-3695(2024)03-015-0746-10

Publish History

[2023-11-01] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

张艳菊, 李群, 张彭涵, 等. 双区型仓库订单分批与拣选协同优化研究 [J]. 计算机应用研究, 2024, 41 (3): 746-755. (Zhang Yanju, Li Qun, Zhang Penghan, et al. Research on collaborative optimization of order batching and picking in two-block warehouse [J]. Application Research of Computers, 2024, 41 (3): 746-755. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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