Publication Date: 2022/07/25
Abstract: This study uses the Failure Mode, Effect and Criticality Analysis (FMECA) method in determining the priority of failure modes that affect the quality of fishing boats produced, and fishbone techniques to improve the quality of fishing boats.WahanaKarya is a wooden fishing boat production business that has been operating for a long time in West Aceh, Indonesia.The quality of the boat is one of the main factors for consumers in choosing and determining the boat to be used.Manufacturing defects, such as gaps and cracks, are unavoidable in wood-based boats.Failure Mode, Effect and Criticality Analysis (FMECA) methods and fishbone diagrams can be applied in the quality control process to minimize defects on fishing boats.FMECA is the development of the Failure Mode, Effect and Effect Analysis (FMEA) method by adding critical analysis which is used to determine the priority of the failure mode.While the fishbone technique uses diagrams to identify the root cause of a problem in a process.The results of FMECA obtained three production process activities that have a critical degree of high category that can affect the quality of the resulting ship and need to be improved, namely uneven cutting of wood in buritan bow manufacture, linggi bow manufacture,and uneven cutting of the board on the hull board installation.Improvements with the fishbone technique that utilize four factors, namely humans, machines, materials and methods, produce several recommendations, including choosing raw materials or materials that are of higher quality than before,doing things like more regular worker supervision,set time to do work,make changes or shifts of workers during the production process so that workers do not get tired quickly,provide training to every workers,implement Standard Operational Procedures (SOP) so that every production process runs well and uses better machines or equipment and the latest technology for better production results.
Keywords: Fishing Boat, Quality, FMECA, Fishbone Diagram.
DOI: https://doi.org/10.5281/zenodo.6902249
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JUL119_(1).pdf
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