A Case Study on Waiting Line of a CNG Filling Station by Using Arena Simulation Software

Articles in Press

Document Type : Research Paper

Authors

1 Department of Industrial and Production Engineering , Shahjalal University of Science and Technology, Sylhet Bangladesh

2 Department of Industrial and Production Engineering at Shahjalal University of Science and Technology, Sylhet Bangladesh

Abstract

Simulation modelling is the act of developing and evaluating a digital prototype of a physical model to forecast how well it will function in real life. Using simulation modelling, engineers and designers can better understand whether a part could fail, under what circumstances, how it could fail, and what loads it can handle. The purposes of this research are to create a simulation model of a CNG filling station, examine and assess the model, and note and draw conclusions from the model's output. For this project, literature searching took place after primary investigation and idea generation. The next procedure, data collection, was initiated with a justified idea and discussion with some recommendations to terminate the whole activity after extensive data analysis. This study aims to analyze a queuing system of a CNG filling station to develop a simulation model and later analyse the model and interpret the results obtained from this model with the help of ‘Arena’ software. During this simulation study on 6 h, the incoming Number of CNG automobiles in Line 1 is 94 and Line 2 is 88. The average waiting time in station 1 is 0.6457 h, and in station 2, it is 0.5912 h. The average waiting number in station 1 is almost 23, and station 2 is a maximum 1. By decreasing queuing length and average waiting time of station, customer satisfaction will be increased and can be decreased waste of time. Customers will enjoy a happy journey without any disturbance.

Keywords

References

Alsolami, F. J. (2020). Measuring the Performance of Inventory Management System using Arena Simulator. International Journal of Advanced Computer Science and Applications, 11(6).
Arena (software). (2024). In Wikipedia. https://en.wikipedia.org/wiki/Arena_(software)
Arslan Bin Riaz, M., & Güden, M. (2025). A review of the experimental and numerical studies on the compression behavior of the additively produced metallic lattice structures at high and low strain rates. Defence Technology.
Beason, J., Hurlock, G., Kim, D., & Manjunath, P. (2024). Dynamic, decentralized task allocation for UAS swarms. In P. L. Muench, H. G. Nguyen, & R. Diltz (Eds.), Unmanned Systems Technology XXVI (p. 13). SPIE.
Bittencourt, O., Verter, V., & Yalovsky, M. (2018). Hospital capacity management based on the queueing theory. International Journal of Productivity and Performance Management, 67(2), 224–238.
Brailsford, S. C., Eldabi, T., Kunc, M., Mustafee, N., & Osorio, A. F. (2019). Hybrid simulation modelling in operational research: A state-of-the-art review. European Journal of Operational Research, 278(3), 721–737.
Cho, Y., Ray, L. S. S., Thota, K. S. P., Suh, S., & Lukowicz, P. (2023). ClothFit: Cloth-Human-Attribute Guided Virtual Try-On Network Using 3D Simulated Dataset (Version 1). arXiv.
Currie, C. S. M., Fowler, J. W., Kotiadis, K., Monks, T., Onggo, B. S., Robertson, D. A., & Tako, A. A. (2020). How simulation modelling can help reduce the impact of COVID-19. Journal of Simulation, 14(2), 83–97.
De Paula Ferreira, W., Armellini, F., & De Santa-Eulalia, L. A. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers & Industrial Engineering, 149, 106868.
Emmanuel Lorou, B.-F. T., Muchiri, P. N., Kuloba, P., & Kimotho, J. K. (2021). Performance Improvement of Truck Assembly Line through Modelling and Simulation Using Arena Software. Open Journal of Optimization, 10(03), 88–100.
Ergün, S. (2025). Enhancing Traffic Signal Split Control with Pedestrian Puddle Information Integration. Management Science and Information Technology, Online First.
Fedorko, G., Molnar, V., Honus, S., Neradilova, H., & Kampf, R. (2018). The Application of Simulation Model of a Milk Run to Identify the Occurrence of Failures. International Journal of Simulation Modelling, 17(3), 444–457.
Frick, M., Axhausen, K. W., Carle, G., & Wokaun, A. (2007). Optimization of the distribution of compressed natural gas (CNG) refueling stations: Swiss case studies. Transportation Research Part D: Transport and Environment, 12(1), 10–22.
Gafar, M., Sarhan, S., Ginidi, A. R., & Shaheen, A. M. (2025). An Improved Bio-Inspired Material Generation Algorithm for Engineering Optimization Problems Including PV Source Penetration in Distribution Systems. Applied Sciences, 15(2), 603.
German Aerospace Center (DLR), Reitenbach, S., Ebel, P.-B., German Aerospace Center (DLR), Grunwitz, C., German Aerospace Center (DLR), Siggel, M., German Aerospace Center (DLR), Pahs, A., & German Aerospace Center (DLR). (2024, September 6). Digital transformation in aviation: An end-to-end digital twin approach for aircraft engine maintenance – exploration of challenges and solutions. GPPS Chania24.
Gitinavard, H., Mohagheghi, V., Akbarpour Shirazi, M., & Mousavi, S. M. (2025). Biofuel supply chain network design in competitive feedstock markets: An interactive possibilistic programming-based intelligent agent system. Computers & Industrial Engineering, 200, 110849.
Gunantara, N. (2018). A review of multi-objective optimization: Methods and its applications. Cogent Engineering, 5(1), 1502242.
Hajian Heidary, M. (2023). Risk assessment in the global supplier selection considering supply disruption: A simulation optimization approach. International Journal of Supply and Operations Management, Online First, 10(4), 501-522.
Hartig, F. (2018). Simulation Modelling.
Hillier, F. S., & Lieberman, G. J. (2010). Introduction to operations research (9. ed., internat. ed). McGraw-Hill.
Hu, X., Barnes, S., & Golden, B. (2018). Applying queueing theory to the study of emergency department operations: A survey and a discussion of comparable simulation studies. International Transactions in Operational Research, 25(1), 7–49.
Krisnawati, F., Anugroho, D. M. R., Rachmawati, L. Y., & Asrol, M. (2022). DISCRETE EVENT SIMULATION MODELLING WITH ARENA FOR COMBINATION OF MANUAL QUEUE AND FAST TRACK QUEUE IN HOSPITAL. Jurnal PASTI (Penelitian Dan Aplikasi Sistem Dan Teknik Industri), 16(3), 251.
Law, A. M. (2015). Simulation Modelling and Analysis (Fifth Edition). McGraw-Hill US Higher Ed USE Legacy.
Law, A. M. (2022). How to Build Valid and Credible Simulation Models. 2022 Winter Simulation Conference (WSC), 1283–1295.
Li, H., & Qi, G. (2024). Thermal environment simulation and product visual design of flexible manufacturing system based on robot collaboration. The International Journal of Advanced Manufacturing Technology.
Meares, H. D., & Jones, M. P. (2020). When a system breaks: Queueing theory model of intensive care bed needs during the COVID‐19 pandemic. Medical Journal of Australia, 212(10), 470–471.
Morris, T. P., White, I. R., & Crowther, M. J. (2019). Using simulation studies to evaluate statistical methods. Statistics in Medicine, 38(11), 2074–2102.
Murugan, T., & W., J. (Eds.). (2025). Cybersecurity and data science innovations for sustainable development of HEICC: Healthcare, education, industry, cities and communities (First edition). CRC Press.
Okuyelu, O. M., Doskenov, B., & Aribike, R. (2024). Process Optimization in Manufacturing Industries Using Simulation Technologies. Current Journal of Applied Science and Technology, 43(4), 31–41.
Peter, P. O., & Sivasamy, R. (2021). Queueing theory techniques and its real applications to health care systems – Outpatient visits. International Journal of Healthcare Management, 14(1), 114–122.
Ramu, V. B. (2023). Optimizing DevOps Pipelines with Performance Testing: A Comprehensive Approach. International Journal of Computer Trends and Technology, 71(6), 35–41.
Rashidifar, R. (2021). Simulation and analyze a production line by using Arena: A case study. engrXiv.
Samad, M. A., Abdullah, J., Karim, M. A., & Islam, K. (2024). Optimizing Restaurant Queue Management: A Simulation-Based Approach Using Arena Software. Asian Journal of Engineering and Applied Technology, 13(1), 20–29.
Shortle, J. F., Thompson, J. M., Gross, D., & Harris, C. M. (2018). Fundamentals of queueing theory (Fifth edition). John Wiley & Sons, Inc.
Simulation modelling. (2022). In Wikipedia. Wikipedia. https://en.wikipedia.org/wiki/Simulation_modelling
So, H. Y., Chen, P. P., Wong, G. K. C., & Chan, T. T. N. (2019). Simulation in Medical Education. Journal of the Royal College of Physicians of Edinburgh, 49(1), 52–57.
Statistics, Testing, and Defense Acquisition: New Approaches and Methodological Improvements (p. 6037). (1998). National Academies Press.
Yang, X.-S. (2018). Optimization techniques and applications with examples. John Wiley & Sons.
Zahraee, S. M., Esrafilian, R., Kardan, R., Shiwakoti, N., & Stasinopoulos, P. (2021). Lean construction analysis of concrete pouring process using value stream mapping and Arena based simulation model. Materials Today: Proceedings, 42, 1279–1286.
Zhu, W. (2021). Research on College English Teaching System Based on Computer Big Data. Journal of Physics: Conference Series, 1865(4), 042141.
Management Science and Information Technology

Articles in Press, Accepted Manuscript
Available Online from 15 April 2025

Files

Share

How to cite

Statistics