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A root-cause identification methodology is applied to eliminate dimensional defects in CNC oxy-flame cutting operations, reducing average rejection from 11.87% to 1.92%. Detailed experiments validate the effectiveness of the approach.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/application-of-root-cause-analysis-in-improvement-of-product-quality-and-productivity/243839/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/application-of-root-cause-analysis-in-improvement-of-product-quality-and-productivity/243839.png","ImageObject",442,249,{"name":88,"@type":89},"Chumphorn","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-20","2026-09-12",true,{"@type":98,"interactionType":99,"userInteractionCount":73},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What problem does the paper address in manufacturing?","Question",{"text":108,"@type":109},"It addresses quality and productivity problems that lead to defects and rejection, focusing on how to identify underlying causal factors in manufacturing processes.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How is root cause analysis applied in this study?",{"text":113,"@type":109},"Root cause identification is applied to eliminate dimensional defects in cutting operations of a CNC oxy-flame cutting machine and to trace causal factors toward the root cause.",{"name":115,"@type":106,"acceptedAnswer":116},"What results does the methodology achieve?",{"text":117,"@type":109},"The approach reduces average rejection from 11.87% to 1.92%, and experimental evidence supports the effectiveness of the proposed methodology.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},243839,1789209210,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":125,"read_time":140},2336475401981,"https://ap-avatar.wpscdn.com/avatar/22000c94efd8d5204d?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786935347598174694","doi:10.3926/jiem.2008.v1n2.p16-53 ©© JIEM, 2008 – 01(02):16-53-ISSN: 2013-0953  \nApplication of root cause analysis in improvement of product  \nquality and productivity  \nDalgobind Mahto; Anjani Kumar  \nNational Institute of Technology (INDIA) [mahto123@rediffmail.com](mahto123@rediffmail.com); [anj_kumar2001@yahoo.co.in](anj_kumar2001@yahoo.co.in)  \nReceived July 2008  \nAccepted December 2008  \nAbstract: Root-cause identification for quality and productivity related problems are key issues for manufacturing processes. It has been a very challenging engineering problem particularly in a multistage manufacturing, where maximum number of processes and activities are performed. However, it may also be implemented with ease in each and every individual set up and activities in any manufacturing process. In this paper, root-cause identification methodology has been adopted to eliminate the dimensional defects in cutting operation in CNC oxy flame cutting machine and a rejection has been reduced from 11.87% to 1.92% on an average. A detailed experimental study has illustrated the effectiveness of the proposed methodology.  \nKeywords: root cause analysis, cause and effect diagram, interrelationship diagram and current reality tree  \n1. Introduction  \nIn Root Cause Analysis (RCA) is the process of identifying causal factors using a structured approach with techniques designed to provide a focus for identifying and resolving problems. Tools that assist groups or individuals in identifying the root causes of problems are known as root cause analysis tools. Every equipment failure happens for a number of reasons. There is a definite progression of actions and consequences that lead to a failure. Root Cause Analysis is a step-by-step method  \nApplication of root cause analysis in improvement of product quality and productivity 16  \nD. Mahto; A. Kumar  \ndoi:10.3926/jiem.2008.v1n2.p16-53 ©© JIEM, 2008 – 01(02):16-53-ISSN: 2013-0953  \nthat leads to the discovery of faults or root cause. An RCA investigation traces the cause and effect trail from the end failure back to the root cause. It is much like a detective solving a crime.  \nTo meet up the high changing market demands along with high quality at comparable prices, one shall have to identify quickly the root causes of quality related problems by reviewing an event, with the goals of determining what has happened, why it has happened and what can be done to reduce the likelihood of recurrence.  \n2. Objective and outline of the study  \nThere are varieties of problems related to product quality and productivity in industries due to varying degrees of abnormality and inefficiency which ultimately causes rejection. Root-cause identification for quality-related problems is a key and necessary step in the operations of manufacturing processes, especially in highthroughput automated processes.  \nThis is predominantly true for the multistage manufacturing processes, which is defined as a process that produces the products under multiple setups. The quality information flow of the product in a multistage manufacturing system and the interaction between the process faults and the product quality characteristics are very complicated. In multistage process, the identification of process root cause is also not simple. It has been observed that the implementation of Root Cause Analysis in a particular single individual setup has simplified the problem.  \nA case study was done for an industry which was in doldrums condition. The abrupt shutdowns and breakdowns (5.19% of annual sales), frequent customer complaints (367pa), line balancing delay (27%), material scarcity or unavailability of matching material (58 days pa), rejection (3.03% of sales) and various other key success factors were not up to the mark. Therefore, the Root Cause Analysis was undertaken to improve the plant situation . But, the study was confined to the CNCOxy Flame Cutting Machine. In this paper, the identification of the problem ha","cbCaignLXaPLCUtT","https://ap.wps.com/l/cbCaignLXaPLCUtT","pdf",479355,38,"English","# 1. Introduction\n# 2. Objective and outline of the study\n# 3. Literature review","[{\"question\":\"What problem does the paper address in manufacturing?\",\"answer\":\"It addresses quality and productivity problems that lead to defects and rejection, focusing on how to identify underlying causal factors in manufacturing processes.\"},{\"question\":\"How is root cause analysis applied in this study?\",\"answer\":\"Root cause identification is applied to eliminate dimensional defects in cutting operations of a CNC oxy-flame cutting machine and to trace causal factors toward the root cause.\"},{\"question\":\"What results does the methodology achieve?\",\"answer\":\"The approach reduces average rejection from 11.87% to 1.92%, and experimental evidence supports the effectiveness of the proposed methodology.\"}]","Application of root cause analysis in improvement of product quality and productivity | PDF",13]