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Queuing System Analysis: A Case Study of Fast Fashion Business

Ratchadakorn Poohoi, Choosak Pornsing, Prachuab Klomjit


The purpose of this research paper is to study the theory of queuing to be used to analyze the appropriate number of the service unit, and the sufficient number of customers for the retail store in the shopping mall. Today, the retail selling in the case of study found the problem that the store has too many customers. They must be waited in a long line for casher. This might affect customers satisfaction. The study explains the examples that is more suitable to use are Model queuing length and who use services to receive services indefinitely (M/M/s: FCFS/∞/∞). The result of the study shows that the pattern of customers coming in service and explained in detail by Poisson Distribution with the rate of service 0.30 persons per minute. The pattern of service for customer at the counter 3 units with the average number of customers waiting in line are 0.75 persons per minute. The average number of customers in the queuing system are 2.75 persons per minute. The average time a customer spends in line are 1.26 minutes per person, and average time a customer spends in the system are 4.57 minutes per person. The analysis data of waiting time for customers, the average customers that satisfy are 0.59 minutes per person. If changed the counter from 3 service units to 4 service units and relevant to model M/M/4: FCFS/∞/∞ which the average time a customer spends in line decrease to 0.26 minutes per person, and average time a customer spends in the system decrease to 3.57 minutes per person. This showed that if increased the number of counter service from 3 service units to 4 service units will affect the customer to be able to decrease the waiting time and more satisfied with the service.


Queuing Theory; M/M/s Queuing Model; Fast Fashion Business; Customer; Service Unit

[1] (Accessed on 29 October 2020)

[2] J. Banthao, R. Kaewhlang and R. Klaenkratoke, An analysis of queuing system with simulation model at a drug dispensing: A case study of chok chai hospital, Thai Industrial Engineering Network Journal, 2018, 4(1) 17-23. (in Thai)

[3] T. Chanapia and P. Putthasri, The queuing system by using the queuing theory case study: Bank for agriculture and agricultural co-operatives, Khon Kaen Branc, Thesis, Khonkaen University, Thailand, 2014.

[4] N. Kamolsuk, Queuing system analysis: The study of 7-Eleven at Muangthai-Patthara Branch, MIS Journal of Naresuan University, 2012, 7(1), 66-78. (in Thai)

[5] N. Itsaraphong, W. Jitmongkol, A. Malikan, P. Toaon, P. Kamlar and A. Chalaingratchai, Queuing system analysis: Postal service system, The First National and International Conference of Kalasin University, Proceeding, 2019, 129-143.

[6] M. Promrueng, K. Papan and S. Siritongthaworn, Developing the queuing system for the deposit-withdrawal banking service over the counter, The Second FIT SSRU Conference, Proceeding, 2019, 99-105.

[7] N. Chaiarwut, Th. Kannida and Y. Thongprasit, Application of queuing model to solve the waiting problem of service users in the organization, Thesis, Khonkaen University, Thailand. 2017.

[8] I. Chantaksinopas, T. Chokaumnuy, S. Sampaotong and A. Chungtragarn, ETT medic: An application for minimizing service times and waiting queues of medical services in hospitals, The Journal of Industrial Technology, 2021, 17(2) 1-18. (in Thai)

[9] W. Thongchan, A. Khamchan, and S. Ruangsuwan, The application of queuing theory for deposit counter of The banks, Thesis, Khonkaen University, Thailand. 2017.

[10] P. Chaichompoo, S. Pongsena, and P. Srinoi, Application of M/M/s queuing model to the hospital, Department of Statistics, Thesis, Khonkaen University, Thailand. 2017.

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DOI: 10.14416/


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