A statistical monitoring strategy for a pulp and paper industry Online publication date: Mon, 19-Mar-2018
by Pulkit Rana; Anupam Das; Swarnambuj Suman; Jhareshwar Maiti
International Journal of Industrial and Systems Engineering (IJISE), Vol. 28, No. 4, 2018
Abstract: The current article features the endeavour to develop a monitoring strategy for paper and pulp industry. The complexity involved in production of better quality pulp warrants the close monitoring of the process characteristics associated with the process. Partial least square regression (PLSR) which is a multivariate statistical projection-based technique is used for building the process representation which aids in the simultaneous monitoring of multiple correlated characteristics. Individual Hotelling T2 chart has been developed to monitor each grade of paper being produced. However this leads to implementation of different control charts for different grades of paper adding to the dexterity of the methodology. In order to solve the above problem methodology hence developed is further extended to develop a combined control chart to monitor all the grades of paper simultaneously. Furthermore a comparative study of the competence of the developed unified control chart with respect to the individual charts is done.
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 Industrial and Systems Engineering (IJISE):
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