Integrated approach for product optimisation in a rolling mill using fuzzy MCDM tools Online publication date: Tue, 24-Jul-2018
by N. Senthilkannan; R. Parameshwaran
International Journal of Additive and Subtractive Materials Manufacturing (IJASMM), Vol. 2, No. 1, 2018
Abstract: An integrated optimisation of process input attributes for improved output quality in a steel rolling mill has been proposed in this study. The intention is to control the process attributes within the specified limits to improve the quality of the output and therefore control the other implications involved. An evaluation model based on failure mode and effect analysis (FMEA) using fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is used in assessing the risk priority of the critical process in the rolling industry. A fuzzy methodology consenting experts to use linguistic variables for defining severity (S), occurrence (O) and detection (D) is considered for FMEA by applying fuzzy TOPSIS integrated with FAHP. The interface using fuzzy FMEA and fuzzy quality function deployment (FQFD) is performed for the enhancement of the process and the product development.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Additive and Subtractive Materials Manufacturing (IJASMM):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook