Application of Discrete Event Simulation for Enhancing Queuing System at Lotus Alor Setar

Authors

  • Arief Farhan Mazri Faculty of Industrial Management, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Kuantan, Pahang, Malaysia
  • Jack Kie Cheng Faculty of Industrial Management, Universiti Malaysia Pahang Al-Sultan Abdullah, Lebuh Persiaran Tun Khalil Yaakob, 26300 Kuantan, Pahang, Malaysia
  • Yao Liu Faculty of Management Engineering, Huaiyin Institute of Technology, Huai’an 223003, China

DOI:

https://doi.org/10.15282/ijim.19.4.2025.11959

Keywords:

Hypermarket, Queueing system, Waiting time, Simulation, Discrete event simulation

Abstract

Queue management is a critical challenge for hypermarkets, where prolonged wait times can negatively impact customer satisfaction and operational efficiency. The congested checkout areas at Lotus Alor Setar are caused by a high number of customers and insufficient cashiers, resulting in slower transaction times for scanning, payments, and assistance. Such queuing problems cause delay to the overall service, thus reducing customer satisfaction. In response to the issue, this study aimed to enhance the queueing system at Lotus Alor Setar through a simulation model and to propose the most efficient hypermarket queueing system. Discrete Event Simulation was used to replicate the existing systems, followed by the testing of three scenarios to determine their respective performance in addressing the issue. The significance of this study lies in identifying ways to efficiently allocate resources, such as personnel and checkout stations, to promote cost savings and higher service quality. These findings offer useful insights not only for improving the queuing system at Lotus Alor Setar but also for guiding other hypermarkets alike.

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Published

2025-12-05

Issue

Section

Research Article

How to Cite

Mazri, A. F., Cheng, J. K., & Liu, Y. (2025). Application of Discrete Event Simulation for Enhancing Queuing System at Lotus Alor Setar. International Journal of Industrial Management, 19(4), 197-209. https://doi.org/10.15282/ijim.19.4.2025.11959

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