Optimal no. Of Crew in a Workshop Subject to Minimize the Total Cost

Authors

DOI:

https://doi.org/10.26668/businessreview/2023.v8i5.1373

Keywords:

Queuing Theory, Multi-State Queuing Model, Fail Units, Breakdowns, Meantime of Waiting, Arriving Rate, Service Rate

Abstract

Purpose: The main objective of this paper is, to determine the optimal no. of technicians’ men in a workshop crew of an Industrial System.

 

Theoretical framework: The purpose of applying these tools is to explore their ability to reduce costs and improvements that can be obtained in the process of providing services to the end customer.

 

Design/methodology/approach: The literature structure review was built from analyzing 12 of scientific papers and books, from web sciences and the Elsevier database. The papers were analyzed from descriptive, methodologic, and citation characteristics.

 

Finding:  By applying the equation model of the paper, the optimal no. of technician men in the crew of the workshop can be determined when it meets the lowest total costs of operating cost and technicians cost taking into account the arrival rate and the service rate.

 

Research practical& social implication: The data that examined in this paper assumed the number of technicians starting with the number that makes the measure of performance logical and acceptable.

 

Originality/ value: The paper is academic research, aimed at the application of queuing theory especially the multi-server decision, where it can lead to a better maintenance decision.

Downloads

Download data is not yet available.

References

Abuzaid, A. N., Al Haraisa, Y. E., & Alateeq, M. M. (2022). the Mediating Effect of Dynamic Capabilities on the Relationship Between Strategic Foresight and Strategic Renewal: Evidence From Islamic Banks in Jordan. International Journal of Professional Business Review, 7(2), 1–18. https://doi.org/10.26668/businessreview/2022.v7i2.369

Ahmad Muhajir and Nikenasih Binatari, (04 August 2017). Queuing System of Multi-Server Model at XYZ Insurance Company in Tasikmalaya City. AIP Conference Proceedings 1868, 040004 (2017); https://doi.org/10.1063/1.4995119

A, Y. S., Gunadi, B., C, A. W., & D, R. M. (2022). COVID-19 PANDEMIC Article history : Received 04 October 2022 Keywords : Workload ; Work environment ; Work motivation ; Employee Performance Analysis Along Work from Home During the Covid-19 Pandemic. 1–24. https://doi.org/https://doi.org/10.26668/businessreview/2022.v7i6.e459

Charles E. Ebbeling, (1997 ), An Introduction to Reliability and Maintainability Engineering, The Mc Graw-Hill companies, Inc. https://onlinelibrary.wiley.com/doi/epdf/10.1002/%28SICI%291099-1638%28199807/08%2914%3A4%3C295%3A%3AAID-QRE197%3E3.0.CO%3B2-Y

E. Berhan, (2015), Bank Service Performance Improvements using Multi-Server Queue System. IOSR- Journal of Business and Management, Vol3 Issue 6. Pp 65-69. https://www.iosrjournals.org/iosr-jbm/papers/Vol17-issue6/Version-1/I017616569.pdf

G. Donald, F.S. John, M. T. James, and M. H. Carl,(2008),Fundamental of Queuing Theory Forth Edition, John Willy &Sons, Canada. https://www.wiley.com/en-us/Fundamentals+of+Queueing+Theory,+4th+Edition-p-9781118625651

Hamdy A. Taha, (2017). Operation Research, An introduction, 10th Ed. © Pearson Education Limited. https://www.pearson.com/uk/educators/higher-education-educators/program/Taha-Operations-Research-An-Introduction-Global-Edition-10th-Edition/PGM1104072.html

Kandenmir, C; Cavas, L. (2007), An application of queuing theory to the relationship between insulin level and number of insulin receptors. Turk .J. Biochem, 2007. https://www.iitg.ac.in/nselvaraju/ma402_2007/Assignments/04010245-qt_insulin.pdf

Kembe et al. (2012). A Study of Waiting And Service Costs of A Multi-Server Queuing Model In A Specialist Hospital. International Journal of Scientific & Technology Research 1: 19-23. https://api.semanticscholar.org/CorpusID:111077550

Lakshmi C.; Sivakumar Appa Iyer, (2013), Operations Research for Health Care. ELSEVIER, Volume 2, Issues 1–2, March–June 2013, Pages 25-39. https://doi.org/10.1016/j.orhc.2013.03.002

Lawal Adamu , A. Isaac, A. Abubakar. (2019). A Study of Waiting and Service Costs of a Multi-Server Queuing System at National Health Insurance Scheme (NHIS) Unit of General Hospital Minna. Transaction of the Nigerian of Mathematical Physics. http://repository.futminna.edu.ng:8080/jspui/handle/123456789/9001#:~:text=to%20this%20item%3A-,http%3A//repository.futminna.edu.ng%3A8080/jspui/handle/123456789/9001,-Title%3A%C2%A0

Muhammad, I; Adamu, L. (19 October 2020). Determination of Optimal Number of Servers at Network Queuing Nods to Reduce waiting Time in a Teriary Institution Clinic in Bida,Nigeria. J. Appl. Sci. Environ. Manage Vol.24 (9). https://doi.org/10.4314/jasem.v24i9.22

S. shanmugasundaram. S. Punitha, (2014), A study on Multi Server Queuing Simulation. Journal of Science and Research, Vol 3 Issue7 pp 1519-1521. https://www.ijsr.net/archive/v3i7/MDIwMTQxMjQ0.pdf

Viliam Makis &Andrew K. S. Jardine.(02 December 2017). Optimal Replacement Policy for a General Model with Imperfect Repair. Journal of the Operational Research Society,volume43, Issue2. https://doi.org/10.1057/jors.1992.17

Downloads

Published

2023-05-05

How to Cite

Muhsin, A. I., & Jasim, A. M. (2023). Optimal no. Of Crew in a Workshop Subject to Minimize the Total Cost. International Journal of Professional Business Review, 8(5), e01373. https://doi.org/10.26668/businessreview/2023.v8i5.1373