This paper is published in Volume-4, Issue-4, 2018
Area
Six Sigma
Author
Pradip Kumar Ganguly
Co-authors
Rajesh Rana
Org/Univ
RPS Institutions, Mahendragarh, Haryana, India
Pub. Date
20 July, 2018
Paper ID
V4I4-1299
Publisher
Keywords
Seven quality control tools, Productivity, Casting defects, Cold shut, Taguchi method, Regression analysis

Citationsacebook

IEEE
Pradip Kumar Ganguly, Rajesh Rana. Reducing casting defects and improving productivity in a small scale foundry industry using DMAIC approach, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pradip Kumar Ganguly, Rajesh Rana (2018). Reducing casting defects and improving productivity in a small scale foundry industry using DMAIC approach. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Pradip Kumar Ganguly, Rajesh Rana. "Reducing casting defects and improving productivity in a small scale foundry industry using DMAIC approach." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

The defects need to be diagnosed correctly for appropriate remedial measures; otherwise new defect may get introduced. The proper classification and identification of particular defect is basic need to correct and control quality of casting. Keeping rejection to a bare minimum is essential to improve the yield and increase the effective capacity of the foundry unit and also improve the productivity. This work identifies major defects slag and porosity. There are many reasons which generate these defects. So it is preferably necessary to reduce it as much as possible by appropriate analysis of the defects which includes the root cause analysis so that actual reasons behind occurring the defects can be found out to make the corrective action. In this work six sigma technique was used to identify and analyse casting defect. Final result of this work was to reduce the defect by taking corrective action. Tool should be identifying the sources of variation clearly.
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