Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
Six Sigma is a systematic method for process improvement. It relies on statistical and scientific methods to reduce the defect rates and achieve improved quality. A case study carried out for a green sand casting manufacturing company. Here, Six Sigma methodology is used for the part: bearing bracket 3809. Define-measure-analyse-improve-control (DMAIC) methodology along with Taguchi method is used to minimise the defects in the bearing bracket 3809. The major tools used in this work are the project charter, process map, statistical graph and cause-and-effect diagram. Use of design of experiment (DOE) and analysis of variance (ANOVA) techniques are combined to determine statistically the correlation of defects with the mould hardness, moisture content, green strength, permeability of sand, pouring rate and pouring temperature and also to find their optimum values needed to reduce/eliminate the defects. The experimental results were statistically analysed and modelled through Taguchi analysis. Based on the findings, the optimised process parameters are taken for experiment and better performance obtained in the production process was confirmed. The comparison between the existing and the proposed process has been attempted in this paper and the results have been discussed in detail.
International Journal of Business and Systems Research – Inderscience Publishers
Published: Jan 1, 2019
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.