FAILURE MODE AND EFFECT ANALYSIS FOR IDENTIFYING AND MITIGATING CASING COMPONENT FAILURES AT THE PRODUCTION OF PETROL MINI FUEL STATION
Keywords:
Failure Mode and Effect Analysis, Fishbone Diagram, Pareto Diagram, Production Failure.Abstract
Company “X” is a company that focuses on providing, processing, and distributing steel plates and ready-mix concrete for various industrial fields. This company produces petro mini fuel station called “Pertashop” which consists of main components as modular, canopy and totem. One of the of the most critical components in production failure is the Casing of Pertashop’s Modular. This production failure occurs due to the causal factors that arise during the production process and this research was carried out to find out the cause of production failure. This research was conducted by identifying and analyzing the causes of the production failure of Pertashop Casing components using Failure Mode and Effect Analysis. Based in this method, it’s miles feasible to understand the severity, feasible reasons, and motive detection values for each production failure. Then, the highest potential causes of failure are ranked. The analysis found that the causes of production failures that are prioritized for immediate repair and suggestions for improvement can be given to the prioritized causes of failureReferences
Ariffin, S. K., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309-327.
Chang, C. H., Kontovas, C., Yu, Q., & Yang, Z. (2021). Risk assessment of the operations of maritime autonomous surface ships. Reliability Engineering & System Safety, 207, 107324.
Gharaei, A., Hoseini Shekarabi, S. A., & Karimi, M. (2020). Modelling and optimal lot-sizing of the replenishments in constrained, multi-product and bi-objective EPQ models with defective products: Generalised cross decomposition. International Journal of Systems Science: Operations & Logistics, 7(3), 262-274.
Gueorguiev, T., Kokalarov, M., & Sakakushev, B. (2020, November). Recent trends in fmea methodology. In 2020 7th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE) (pp. 1-4). IEEE.
O'Regan, G., & O’Regan, G. (2019). Test Metrics and Problem-Solving. Concise Guide to Software Testing, 153-179.
Picarillo, A. P. (2018). Introduction to quality improvement tools for the clinician. Journal of Perinatology, 38(7), 929-935.
Rodgers, M., & Oppenheim, R. (2019). Ishikawa diagrams and Bayesian belief networks for continuous improvement applications. The TQM Journal, 31(3), 294-318.
Sharma, K. D., & Srivastava, S. (2018). Failure mode and effect analysis (FMEA) implementation: a literature review. J Adv Res Aeronaut Space.
Zonnenshain, A., & Kenett, R. S. (2020). Quality 4.0—the challenging future of quality engineering. Quality Engineering, 32(4), 614-626.
