Citation

Tong, Pang Zhen and Chua, Fang Fang (2026) Optimizing Task Scheduling in Warehouse Using Multi-Criteria Priority-Based Scheduling Algorithm. Studies in Big Data, 192. pp. 95-105. ISSN 2197-6503

Text Optimizing Task Scheduling in Warehouse Using Multi-Criteria Priority-Based Scheduling Algorithm _ Springer Nature Link.pdf - Published Version Restricted to Repository staff only Download (666kB)

Abstract

The Warehouse Management System (WMS) plays a crucial role in modern businesses by efficiently tracking and managing inventory to meet evolving market demands. However, traditional task scheduling methods in WMS often struggle to keep pace with the rapid changes driven by Industry 4.0. This becomes particularly evident when businesses face the challenge of meeting strict delivery deadlines, highlighting the need for more adaptive warehouse management strategies. Improving current scheduling methods is essential for WMS to remain effective in dynamic environments. To address the challenge of using a single method to cater to diverse business requirements across different sectors, a Multi-Criteria Priority-Based Scheduling (MC-PBS) method is proposed. Experimental results demonstrate that the MC-PBS method is capable of effectively handling both rare needs, like lowering dead stock, and common ones, and reducing missed deadlines in task plans.

Item Type:	Article
Uncontrolled Keywords:	Dynamic task scheduling, Priority-based algorithm
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	30 Oct 2026 02:52
Last Modified:	30 Oct 2026 02:52
URII:	http://shdl.mmu.edu.my/id/eprint/17032

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