alexa Abstract | Rejection Analysis in Piston Manufacturing Unit
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

Like us on: https://twitter.com/ijirset_r
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Rejection Analysis is a process of identification of quality and productivity related problems which the key factors in manufacturing process. The application of rejection analysis allows studying the failed parts. It helps to capture the minute failing details. It provides effective suggestion to the problem encountered in manufacturing process. It eliminates the scrap and tells which part can be rework. After preliminary study on machining process of piston in 6M production line at FEDERAL MOGUL GOETZE INDIA LTD, it was apparent that production line was having more defect and rework and had rejection percentage rate of about 10% .In order to examine this project, study was conducted to observe the process going on in the production line, to reduce the rejection rate by tracking the root causes and by providing suggestion. Some of tools and techniques used to achieve the objectives were check sheet, Pareto chart, cause and effect diagram and control charts. The methodology employed to achieve the stated objective, includes the study on nature of defect occurrence, collection of data on number of defects occurred during three months of study using check sheet, identification of major defect percentage using Pareto chart, finding the causes using cause and effect diagram and investigating the process is in control or not by statistical control charts. Lastly providing the suggestion regarding minimizing the defect and rework. The outcome of project was reduction in overall rejection rate in production line from 10% to 7 % and thus the production line was able to meet the required demand

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Ashwini.A, Avinash.K.S

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords