Product quality and energy consumption optimisation of dyeing fixing process by steaming through DOE analysis: a cotton case study
by Aurelio Tronci; Pier Francesco Orrù; Pasquale Buonadonna
International Journal of Management and Decision Making (IJMDM), Vol. 17, No. 4, 2018

Abstract: Simultaneous improvement of product's quality and process' energy performances of dyeing fixing on cotton fabrics is studied in this work. A full factorial design, starting from factor's ranges currently in use by textile industrial operators, was settled following design of experiments guidelines, resulting in a two-factor (team flow rate and steaming time) and three-level experimental plan, including three repetitions of the central point. Both analysis of variance and best subset analysis were carried in order to establish the real effectiveness of each independent variable. Analyses point out the high influence of steaming time, while the one of the steam rate is negligible, which leads to the opportunity of producing the best quality fabrics at the lowest level of steam rate, maintaining the time under the traditionally employed one. These results if properly applied to an industrial size equipment, can be translated in consistent energy and, consequently, and economical savings.

Online publication date: Wed, 10-Oct-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Management and Decision Making (IJMDM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com