Reducing paint waste in a colour sample manufacturing industry
Bimal Nepal and
Bharatendra K. Rai
International Journal of Business Excellence, 2010, vol. 3, issue 2, 186-205
Abstract:
Colour sample manufacturing industry provides an important support for the paint manufacturers. It manufactures colour samples that help original paint manufacturers to sell paint by allowing potential customers to accurately visualise a specific colour. One of the burning issues in colour sampling manufacturing is accurately predicting the tally gallons. It involves an estimation of paint volume to cover a given surface area of paper. The as-is tally gallons estimation process is rudimentary and largely depends upon the human experience. Ideally, this quantity should be enough to cover the target surface area regardless of colour appearance. However, this is not the case with existing process. Currently, lighter colours run out in the middle of the production run while darker colour appearances have significant amount of left over paint. The amount of painting waste is as high as 15% (by volume) in some cases. The objective of this paper is to present a predictive model to better estimate the tally gallons by minimising painting waste. It presents a case study of a US colour sample manufacturing company. The results show that the proposed multiple linear regression approach reduces the leftover paint significantly.
Keywords: process excellence; colour sample manufacturing; tally gallons; paint waste; case study; colour samples. (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=30728 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbexc:v:3:y:2010:i:2:p:186-205
Access Statistics for this article
More articles in International Journal of Business Excellence from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().