DEVELOPMENT OF QUEUE MANAGEMENT MODEL FOR EFFECTIVE SERVICE DELIVERY IN AUTOMOBILE REPAIR SHOPS
DOI:
https://doi.org/10.4314/njt.v42i3.6Keywords:
Queue, Queue management, Scheduling, Automobile repair, Delivery time, Shortest operation timeAbstract
In this study, a queue management model/software was developed for automobile repair shops. This software minimizes both waiting time of customers, and idle time of workers. The software groups all jobs done in an automobile repair shop into three sections: mechanical, electrical and air conditioning (A/C) sections. The developed software prioritizes all jobs performed in a typical automobile repair shop in terms of urgency, using the ‘shortest processing time’ scheduling approach. The jobs are then ranked and assigned to workers based on number of available workstations. Also, expected time of delivery of the job is estimated by the software. The software was tested using data obtained over a two weeks period and percentage reduction in waiting time was found to range between: 0.889-0.122, 0.895-0.25 and 1-0.167 for the mechanical, electrical and A/C sections respectively. In the mechanical section, servicing/replacement of piston and rings and changing/servicing of gear box were discovered to be the jobs with maximum delivery time (15 hrs) while changing of engine belt was seen as the job with the least delivery time (0.3 hrs). For the electrical section, changing of alternator, with delivery time of 3 hrs 30 mins and changing of headlamp and fuse breakage with delivery time of 0.15 hrs are the jobs with maximum and minimum delivery times respectively. For the A/C section, changing of freezer with delivery time of 10 hrs and refilling of gas with delivery time of 0.10 hrs are the maximum and minimum respectively. Implementation of this research will reduce time wastage experienced by customers, idle time at service facilities, frustration caused by unnecessary queue, and encourage allocation of resources accordingly.
References
Senderovich, A., Weidlich, M., Gal, A., and Mandelbaum, A. “Queue mining–predicting delays in service processes”, International conference on advanced information systems engineering, 42-57, 2014.
Agyei, W., Asare-Darko, C., and Odilon, F. “Modeling and analysis of queuing systems in banks: (A case study of Ghana Commercial Bank Ltd. Kumasi Main Branch)”, International Journal of Scientific and Technology Research 4 (07), 160-163; 2015.
Melanie, B. E., and Griffiths. “Out of time: The temporal uncertainties of refused asylum seekers and immigration detainees”, Journal of Ethnic and Migration Studies, 40 (12), 1991-2009; 2014.
Wang, Y., Yang, J., Chen, Y., Liu, H., Gruteser, M., and Martin, R. P. “Tracking human queues using single-point signal monitoring”,. Proceedings of the 12th annual international conference on Mobile systems, applications, and services, 42-54, 2014.
NEXA. https://blog.nexa.com.au/blog/what -is-queue-management. Australia: NEXA Group Pty Ltd’ 2018.
Vargha, Z. “Assembling lines: queue management and the production of market economy in post-socialist services”, Journal of Cultural Economy 11 (5), 420-439; 2018.
Jain, M., and Jain, A. “Genetic algorithm in retrial queueing system with server breakdown and caller intolerance with voluntary service”, International Journal of System Assurance Engineering and Management, 1-17; 2021.
Shamsaei, N., Yadollahi, A., Bian, L., and Thompson, S. M. “An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control”, Additive Manufacturing 8, 12-35; 2015.
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., and Sui, F. “Digital twin-driven product design, manufacturing and service with big data”, The International Journal of Advanced Manufacturing Technology 94 (9), 3563-3576; 2018.
Al Nuaimi, E., Al Neyadi, H., Mohamed, N., and Al-Jaroodi, J. “Applications of big data to smart cities”, Journal of Internet Services and Applications 6 (1), 1-15; 2015.
Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., Harnisch, M. “Industry 4.0: The future of productivity and growth in manufacturing industries”, Boston consulting group 9 (1), 54-89; 2015.
Boschert, S., and Rosen, R. “Digital twin—the simulation aspect”, Mechatronic futures, 59-74; 2016.
Franz, B. S., Wagg, C., and van der Heijden, M. G. A. “An underground revolution: biodiversity and soil ecological engineering for agricultural sustainability”, Trends in ecology & evolution 31 (6), 440-452; 2016.
Mwangi, S. K., and Ombuni, T. M. “An empirical analysis of queuing model and queuing behaviour in relation to customer satisfaction at Jkuat Students Finance Office”, American Journal of theoretical and applied statistics 4 (4), 233-246; 2015.
Rajangom, K. S. “Does reduced waiting time always lead to improved customer satisfaction? An investigation”, IIMS Journal of Management Science 11 (2), 82-90; 2020.
Shah, A., Wikum, A., and Pender, J. “Using simulation to study the last to enter service delay announcement in multiserver queues with abandonment”, 2019 Winter Simulation Conference (WSC), 2595-2605; 2019.
Jain, S., and Jain, R. “Application of Queuing Theory in Quality Management Practices in Medical Sector”, Journal Of Algebraic Statistics 13 (2), 487-496; 2022.
Kalwar, M. A., Marri, H. B., Khan, M. A., and Khaskheli, S. A. “Applications of Queuing Theory and Discrete Event Simulation in Health Care Units of Pakistan”, International Journal of Science and Engineering Investigations 10 (109), 6-18; 2021.
Stewart, C., and Ansolabehere, S. “Waiting to vote”, Election Law Journal 14 (1), 47-53; 2015.
Suhel Ahmed, S. R. “Expected Actual Waiting Time and Service Delivery Evidence Using Queuing Theory in Selected Banking Institutions in Bangladesh”, Journal of International Business and Management, 2018.
Glynn, W. P., Greve, H. R., and Rao, H. “Relining the garbage can of organizational decision-making: modeling the arrival of problems and solutions as queues”, Industrial and Corporate Change 29 (1), 125-142, 2020.
Bonfanti, A., Vigolo, V., and Yfantidou, G. “The impact of the Covid-19 pandemic on customer experience design: The hotel managers’ perspective”, International Journal of Hospitality Management 94, 102871; 2021.
Oztemel, E., and Gursev, S. “Literature review of Industry 4.0 and related technologies”, Journal of Intelligent Manufacturing, 31 (1), 127-182; 2020.
Jaehyeon, J., Mi-Seon, K., Jae-Hyeon, A. “Prototyping business models for IoT service”, Procedia Computer Science 91, 882-890; 2016.
Expósito‐Izquierdo, C., Expósito‐Márquez, A., and Brito‐Santana, J. “Mobility as a Service”, Smart cities: Foundations, principles, and applications, 409-435; 2017.
Cherubini, S., Iasevoli, G., and Michelini, L (2015). Product-service systems in the electric car industry: critical success factors in marketing. Journal of Cleaner Production 97, 40-49.
Karlsson, I. C. M., Mukhtar-Landgren, D., Smith, G., Koglin, T., Kronsell, A., Lund, E., Sarasini, S., Sochor, J. “Development and implementation of Mobility-as-a-Service–A qualitative study of barriers and enabling factors”, Transportation Research Part A: Policy and Practice 131, 283-295; 2020.
Bachrach, D. G., Mullins, R. R., Rapp, A. A. “Intangible sales team resources: Investing in team social capital and transactive memory for market-driven behaviors, norms and performance”, Industrial Marketing Management 62, 88-99; 2017.
Itani, O. S., Krush, M. T., Agnihotri, R., Trainor, K. J. “Social media and customer relationship management technologies: Influencing buyer-seller information exchanges”, Industrial Marketing Management 90, 264-275; 2020.
Shereef, N. “Car Service management EPR in Odoo”, https://medium.com/@shereef_pt/car-s ervice-management-erp-in-odoo595882de1fdc; 2019.
Frei, C., Hyland, M., and Mahmassani, H. S. “Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach”, Transportation Research Part C: Emerging Technologies 76, 71-89; 2017.
Hörl, S., Ruch, C., Becker, F., Frazzoli, E., Axhausen, K. W. “Fleet operational policies for automated mobility: A simulation assessment for Zurich”, Transportation Research Part C: Emerging Technologies 102, 20-31; 2019.
Gaiardelli, P., Songini, L., and Saccani, N. “The automotive industry: Heading towards servitization in turbulent times”, Servitization in industry, 55-72, 2014.
Srivastava, D. S. “Queuing theory in workshop”, International Journal of Science, Technology & Management, 90; 2015.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Nigerian Journal of Technology
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The contents of the articles are the sole opinion of the author(s) and not of NIJOTECH.
NIJOTECH allows open access for distribution of the published articles in any media so long as whole (not part) of articles are distributed.
A copyright and statement of originality documents will need to be filled out clearly and signed prior to publication of an accepted article. The Copyright form can be downloaded from http://nijotech.com/downloads/COPYRIGHT%20FORM.pdf while the Statement of Originality is in http://nijotech.com/downloads/Statement%20of%20Originality.pdf
For articles that were developed from funded research, a clear acknowledgement of such support should be mentioned in the article with relevant references. Authors are expected to provide complete information on the sponsorship and intellectual property rights of the article together with all exceptions.
It is forbidden to publish the same research report in more than one journal.