Research and Application of Intelligent Universal WMS System
Authors: 
Tao Yang, Hairong YanAuthors Info & Claims
Tao Yang, Hairong YanAuthors Info & ClaimsPages 151 - 156
Abstract
WMS(Warehouse Management System) is an important tool for warehouse management, which enables the management, control and optimization of inventory products and orders through information technology. In order to improve the flexibility and ease of use of the WMS system, and to be able to apply to many types of warehouses and a variety of different industry operating scenarios, this paper designs a generalized WMS system to better meet the different needs of customers for warehouse management. Through actual research and demand analysis, we designed the core functions of inventory management, purchasing management, sales management, financial management, etc. The architecture and technology of the whole system adopts the current popular programming language and system framework. In addition, in order to improve the efficiency of the warehousing process, the WMS system introduced in this paper also combines the ABC classification method of K-means clustering algorithm, the WMS system of inventory and orders, etc. for a more reasonable classification, to achieve intelligent management of the WMS system, to improve the autonomy and self-adaptability of the warehouse.
References
[1]
Huang J Z, Ng M K, Rong H, Automated variable weighting in k-means type clustering[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2005, 27(5):657-668.
[2]
Dhouioui M, Frikha T . Intelligent Warehouse Management System[C]// 2020 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS). IEEE, 2020.
[3]
Wang Qian,Wang Cheng,Feng Zhenyuan A review of K-means clustering algorithm research[J]. Electronic Design Engineering,2012,20(07):21-24.
[4]
Liu Yuntian,Sun Jingqi,Niu Dongxiao,Zhang Huanfan. Classification of ERP data in electric power manufacturing industry based on clustering algorithm[J]. Science, Technology and Engineering,2021,21(35):15130-15135.
[5]
Shen Xiujuan,Xue Shuo. A weighted K-means clustering algorithm and its application[J]. Journal of Qujing Normal College,2022,41(03):1-7.
[6]
Zhang Xiaogang. The application of ABC classification method in item management [J]. Computer Knowledge and Technology: Academic Edition, 2016(3X):3.
[7]
Liu Peiyong, Lu C. Application of multidimensional ABC classification method in raw material inventory control [J]. Machinery manufacturing, 2017, 55(2):4.
[8]
Zhou Weibiao, Liang Bishan, Gao Min. Analysis of inventory classification management based on ABC taxonomy index extension[J]. Modern Business Industry, 2018, 39(7):3.
[9]
L.L. Zhang,K. Zheng. Research on classification management of medical consumables inventory based on PCA algorithm and K-means clustering algorithm[J]. China Medical Equipment,2022,37(01):5-8+19.
[10]
F. M. Zowid; M. Z. Babai; M. R. Douissa; Yves Ducq; "Multi-criteria Inventory ABC Classification Using Gaussian Mixture Model", IFAC-PAPERSONLINE, 2019.
Index Terms
- Research and Application of Intelligent Universal WMS System
Recommendations
Pinquark Warehouse Management System (WMS): Moving from process-based to activity-oriented management
AbstractSince the release of the first warehouse management system (WMS), these systems have been systematically developed and improved to optimize warehouse operations, including inventory management, order fulfillment, receiving, picking, packing, and ...
Research and application of intelligent supervision technology for material management
AIBDF '23: Proceedings of the 2023 3rd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data ForumIn order to solve the problems of increasing material management costs and high integrity risks caused by great difficulty of material management, backward management concepts and management methods in engineering construction, this paper uses ...
Study of Universal Simulation Data Management System
ITCS '09: Proceedings of the 2009 International Conference on Information Technology and Computer Science - Volume 01In order to solve the problems of the simulation data management in a company or institution, the Universal Simulation Data Management System (USDMS) is studied. The simulation data management task is analyzed for the data ownership management in the ...
Comments
Information & Contributors
Information
Published In
December 2023
201 pages
ISBN:9798400709173
DOI:10.1145/3641032
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 June 2024
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICISE 2023
ICISE 2023: 2023 8th International Conference on Information Systems Engineering
December 16 - 18, 2023
Bangkok, Thailand
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 35Total Downloads
- Downloads (Last 12 months)35
- Downloads (Last 6 weeks)5
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format