数据仓库
分析
计算机科学
自动化
过程管理
商业智能
仓库
云计算
知识管理
过程(计算)
数据科学
工程管理
数据库
业务
工程类
机械工程
营销
操作系统
出处
期刊:International Journal for Research in Applied Science and Engineering Technology
[International Journal for Research in Applied Science and Engineering Technology (IJRASET)]
日期:2023-06-09
卷期号:11 (6): 1154-157
被引量:2
标识
DOI:10.22214/ijraset.2023.53808
摘要
Abstract: Warehouse management systems (WMS) are software applications that enable businesses to manage and control warehouse operations, including inventory management, order processing, and transportation management. This research paper provides an analysis of warehouse management systems, highlighting the benefits they offer, the challenges associated with their implementation, and the best practices for efficient and effective use. Warehouse Management Systems (WMS) are an integral part of modern-day warehousing operations. This literature review provides an overview of the current trends, challenges, and opportunities in the WMS field. The review identifies key areas of development, including the impact of Industry 4.0 on warehouse operations, the use of artificial intelligence and machine learning in WMS, and the adoption of cloud-based WMS solutions. The review also highlights challenges associated with WMS implementation, including the need for skilled personnel, data security, and system integration. Finally, the review identifies opportunities for future research, including the development of predictive analytics, the use of blockchain in WMS, and the implementation of robotic process automation.
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