Queuing System using CPU Scheduling: A Case Study of a Car Garage

Main Article Content

Chanchai Supaartagorn
Phattarapoom Onjoy


This paper regards a Research and Development (R&D), which involves with a web-based application. The objectives of this research are: 1) to design and develop the queuing system using CPU scheduling: A case study of a car garage; and 2) to examine the users’ satisfaction with the system. The CPU scheduling assists in providing information to service providers in attempts to reduce scheduling conflicts and longer wait-times. There are four algorithms of CPU scheduling. 1) First-Come First-Served scheduling 2) Short-Job-First scheduling 3) Priority scheduling and 4) Optimum scheduling. The results indicated that the users were highly satisfied, the average was 4.46 and standard deviation was 0.64. This system can be an effective and promising alternative to the improvement of the data management system.


Download data is not yet available.

Article Details

How to Cite
C. Supaartagorn and P. Onjoy, “Queuing System using CPU Scheduling: A Case Study of a Car Garage”, JIST, vol. 10, no. 2, pp. 26-33, Dec. 2020.
Research Article: Information Systems (Detail in Scope of Journal)


[1] Phanit Laosirirat. “Excellence in service improvement with the lean concept of King Chulalongkorn Memorial Hospital,” For Quality Idol&Model, vol. 17, no. 152, pp. 114-119, June 2020.

[2] Attaporn Ketcare, “Bank Service Improvement Using Lean Techniques,” Master of Engineering, Industrial Engineering, Chaing Mai University, 2012.

[3] Abraham Siberchatz, Peter Baer Galvin, and Greg Gangne, Operating System Concepts, Ninth Edition, John Wiley and Sons, INC, pp. 266-271, 2013.

[4] Sindhu M, Rajkamal R, and Vigneshwaran P, “An Optimum Multilevel CPU Scheduling Algorithm,” in Proceedings of the International Conference on Advances in Computer Engineering, Bangalore, India, 2010, pp. 90-94.

[5] M. Gahlawat and P. Sharma, “Analysis and Performance Assessment of CPU Scheduling Algorithms in Cloud using Cloud Sim,” International Journal of Applied Information Systems, vol. 5, no. 9, July, pp. 5-8, 2013.

[6] Neetu Goel, “A Comparative Study of CPU Scheduling Algorithms,” International Journal of Graphics & Image Processing, vol.2, Issue 4, November, pp. 245-251, 2012.