Authors :
Fitrah Ilman; Sugiyono
Volume/Issue :
Volume 10 - 2025, Issue 8 - August
Google Scholar :
https://tinyurl.com/2eabnk9u
Scribd :
https://tinyurl.com/yc4w3ayf
DOI :
https://doi.org/10.38124/ijisrt/25aug1006
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Note : Google Scholar may take 30 to 40 days to display the article.
Abstract :
The Air Conditioning System (ACS) in airports plays a crucial role in maintaining user comfort and operational
efficiency. However, declining performance in chiller machines negatively affects the overall effectiveness of the system. This
study aims to evaluate the Overall Equipment Effectiveness (OEE) value of chiller machines at Terminal 3 of Soekarno-
Hatta International Airport during July–December 2024, identify the causes of performance degradation, and propose
improvement strategies. The research employed a quantitative approach using primary data (observation and interviews)
and secondary data from maintenance records. The measurement results indicate that the OEE values are still below the
company’s target, with the lowest recorded in Chiller 4 at 77.95% and the highest in Chiller 1 at 80.07%. Analysis of Six
Big Losses and Root Cause Analysis (Fishbone Diagram, 5 Why’s, and 5W+1H) revealed that performance degradation was
mainly caused by human and method factors, such as the absence of technician training and the lack of sequencing control
SOPs. Additionally, problems were identified in materials, machinery, and environmental conditions, including damaged
coils, ducting, balancing valves, and cooling tower fillers. Proposed solutions include predictive maintenance, the
establishment of SOPs, replacement of damaged components, and the enhancement of technician skills. Implementing these
strategies is expected to improve OEE values, reduce downtime, extend chiller lifespan, and support sustainable energy
efficiency.
Keywords :
Air Conditioning System (ACS), Chiller, Overall Equipment Effectiveness (OEE), Performance, Six Big Losses, Fishbone Diagram, 5 why’s Analysis, 5W+1H.
References :
- Alexander, A., Kumar, P., & Singh, R. (2024). Preventive maintenance planning based on Overall Equipment Effectiveness (OEE) in HVAC systems. Journal of Building Engineering, 82, 108058. https://doi.org/10.1016/j.jobe.2024.108058
- Assunção de Lira, F., Almeida, L. F., & Nunes, R. A. (2019). Maintenance strategies for refrigeration systems: An OEE-based approach. International Journal of Refrigeration, 100, 83–92. https://doi.org/10.1016/j.ijrefrig.2019.02.005
- Bamber, C. J., Castka, P., Sharp, J. M., & Motara, Y. (2003). Cross-functional team working for overall equipment effectiveness (OEE). Journal of Quality in Maintenance Engineering, 9(3), 223–238. https://doi.org/10.1108/13552510310493684
- Barsalou, M. A. (2014). Root cause analysis: A step-by-step guide to using the right tool at the right time. CRC Press.
- Da Costa, J., Teixeira, J., & Ramos, N. M. (2022). Energy performance assessment of airport HVAC systems through improved maintenance strategies. Energy Reports, 8, 1351–1362. https://doi.org/10.1016/j.egyr.2022.02.053
- Daryanto, A., & Ismanto, B. (2014). Konsep dan aplikasi kepuasan pelanggan. Yogyakarta: Pustaka Pelajar.
- Esa, M., & Yusof, S. M. (2016). A review on overall equipment effectiveness (OEE) and its applications in sustainable manufacturing. Journal of Manufacturing Technology Management, 27(3), 326–346. https://doi.org/10.1108/JMTM-11-2014-0119
- Fantin, I. (2014). Root cause analysis: Improving performance for bottom-line results. Productivity Press.
- Hegyi, Á., & Csonka, B. (2022). Passenger experience and environmental comfort in airport terminals. Transport Research Procedia, 62, 768–774. https://doi.org/10.1016/j.trpro.2022.02.097
- Hutchins, D. (1998). Total productive maintenance: A guide to implementation. Gower Publishing.
- Komarudin, A., & Manik, T. (2018). Analisis kinerja sistem pendingin udara sentral (Chiller System) pada gedung perkantoran. Jurnal Energi dan Lingkungan, 14(2), 75–84.
- Latino, M. A., Latino, R. J., & Latino, K. C. (2019). Root cause analysis: Improving performance for bottom-line results (5th ed.). CRC Press.
- Liu, X., Zhang, Y., & Li, H. (2021). Energy efficiency optimization of airport HVAC systems using displacement ventilation and radiant floor cooling. Applied Energy, 291, 116832. https://doi.org/10.1016/j.apenergy.2021.116832
- Nugroho, A., Prasetyo, H., & Santoso, A. (2022). Performance analysis of eco-friendly refrigerants in HVAC systems. International Journal of Air-Conditioning and Refrigeration, 30(3), 2250021. https://doi.org/10.1142/S2010132522500217
- Okes, D. (2019). Root cause analysis: The core of problem solving and corrective action. ASQ Quality Press.
- Rachmawati, I., & Patrikha, F. D. (2021). Pengaruh promosi terhadap keputusan pembelian konsumen pada produk elektronik. Jurnal Ilmu Ekonomi dan Bisnis, 9(2), 145–158.
- Sayuti, M., Prabowo, H., & Nugraha, A. (2019). Application of OEE to reduce production losses in pulp manufacturing. International Journal of Productivity and Quality Management, 28(1), 75–91. https://doi.org/10.1504/IJPQM.2019.096546
- Sangotayo, E. O., Bello, M. O., & Ogunjimi, O. (2023). Condition-based maintenance using OEE for cooling systems in industrial applications. Journal of Facilities Management, 21(2), 207–224. https://doi.org/10.1108/JFM-07-2022-0074
- Smith, R., & Hawkins, B. (2004). Lean maintenance: Reduce costs, improve quality, and increase market share. Butterworth-Heinemann.
- Sripriyan, A., & Janakiraman, S. (2018). Improving HVAC operational efficiency using lean-OEE integration. International Journal of Lean Six Sigma, 9(4), 589–605. https://doi.org/10.1108/IJLSS-08-2017-0091
- Ullah, S., Ahmad, R., & Hassan, S. (2023). Overall equipment effectiveness (OEE) as a tool for sustainable manufacturing performance improvement: A review. Journal of Cleaner Production, 385, 135716. https://doi.org/10.1016/j.jclepro.2022.135716
- Yuan, H., Li, J., & Zhao, M. (2023). Experimental analysis of R290 as an alternative refrigerant for HVAC systems. Energy and Buildings, 291, 113027. https://doi.org/10.1016/j.enbuild.2023.113027
- Zheng, Y., Yew, C. Y., & Lim, K. H. (2023). IoT-based predictive maintenance integrating OEE for HVAC systems. Energy and AI, 12, 100182. https://doi.org/10.1016/j.egyai.2023.100182
The Air Conditioning System (ACS) in airports plays a crucial role in maintaining user comfort and operational
efficiency. However, declining performance in chiller machines negatively affects the overall effectiveness of the system. This
study aims to evaluate the Overall Equipment Effectiveness (OEE) value of chiller machines at Terminal 3 of Soekarno-
Hatta International Airport during July–December 2024, identify the causes of performance degradation, and propose
improvement strategies. The research employed a quantitative approach using primary data (observation and interviews)
and secondary data from maintenance records. The measurement results indicate that the OEE values are still below the
company’s target, with the lowest recorded in Chiller 4 at 77.95% and the highest in Chiller 1 at 80.07%. Analysis of Six
Big Losses and Root Cause Analysis (Fishbone Diagram, 5 Why’s, and 5W+1H) revealed that performance degradation was
mainly caused by human and method factors, such as the absence of technician training and the lack of sequencing control
SOPs. Additionally, problems were identified in materials, machinery, and environmental conditions, including damaged
coils, ducting, balancing valves, and cooling tower fillers. Proposed solutions include predictive maintenance, the
establishment of SOPs, replacement of damaged components, and the enhancement of technician skills. Implementing these
strategies is expected to improve OEE values, reduce downtime, extend chiller lifespan, and support sustainable energy
efficiency.
Keywords :
Air Conditioning System (ACS), Chiller, Overall Equipment Effectiveness (OEE), Performance, Six Big Losses, Fishbone Diagram, 5 why’s Analysis, 5W+1H.