{"title":"Analysis of Work Accidents in the Lathe Workshop CV. XX Using the Job Safety Analysis Method with the Failure Mode and Effect Analysis Approach.","authors":"Muhammad Tauhid Himam, E. Widodo","doi":"10.21070/pels.v7i0.1584","DOIUrl":null,"url":null,"abstract":"This research aims to determine the level of risk and potential for work accidents in manufacturing processes that use heavy equipment such as lathes, which can cause accidents and disrupt production. The method used is job safety analysis (JSA) and suggestions for the complete use of Personal Protective Equipment (PPE) for workers in accordance with production equipment to reduce the risk of work accidents. The results show that being hit by a spark during the welding process has a failure mode severity level value, and being exposed to a gram when lathe has the highest value of failure mode occurrence and effect analysis. The failure mode detection and effect analysis value is the lowest due to limited PPE. The implication of this research is to provide a comprehensive understanding of the potential risks and safety measures that can be implemented to minimize work accidents in manufacturing processes. \nHighlight : \n \nJob safety analysis (JSA) and Personal Protective Equipment (PPE) are used to reduce the risk of work accidents in manufacturing processes that use heavy equipment. \nBeing hit by a spark during the welding process has a failure mode severity level value, and being exposed to a gram when lathe has the highest value of failure mode occurrence and effect analysis. \nThe research provides a comprehensive understanding of the potential risks and safety measures that can be implemented to minimize work accidents in manufacturing processes. \n \nKeywords: manufacturing processes, heavy equipment, work accidents, job safety analysis, personal protective equipment.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"17 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia of Engineering and Life Science","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.21070/pels.v7i0.1584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research aims to determine the level of risk and potential for work accidents in manufacturing processes that use heavy equipment such as lathes, which can cause accidents and disrupt production. The method used is job safety analysis (JSA) and suggestions for the complete use of Personal Protective Equipment (PPE) for workers in accordance with production equipment to reduce the risk of work accidents. The results show that being hit by a spark during the welding process has a failure mode severity level value, and being exposed to a gram when lathe has the highest value of failure mode occurrence and effect analysis. The failure mode detection and effect analysis value is the lowest due to limited PPE. The implication of this research is to provide a comprehensive understanding of the potential risks and safety measures that can be implemented to minimize work accidents in manufacturing processes.
Highlight :
Job safety analysis (JSA) and Personal Protective Equipment (PPE) are used to reduce the risk of work accidents in manufacturing processes that use heavy equipment.
Being hit by a spark during the welding process has a failure mode severity level value, and being exposed to a gram when lathe has the highest value of failure mode occurrence and effect analysis.
The research provides a comprehensive understanding of the potential risks and safety measures that can be implemented to minimize work accidents in manufacturing processes.
Keywords: manufacturing processes, heavy equipment, work accidents, job safety analysis, personal protective equipment.