Quality improvement of multistage and multi-response grinding processes: an insight into two different methodologies for parameter optimisation
by Indrajit Mukherjee, Pradip Kumar Ray
International Journal of Productivity and Quality Management (IJPQM), Vol. 4, No. 5/6, 2009

Abstract: Process quality improvement using appropriate optimisation methodology has been a continual research endeavour. However, search for optimal path conditions for multi-stage and multi-response grinding in mass-scale manufacturing still remains a critical and difficult task for researchers. In this context, two different methodologies may be adopted to determine optimal process setting conditions. The first methodology (Methodology-1) is to assume each stage as independent, and thereby determine optimal setting conditions for the individual stages. Based on individual stage optimal process conditions, overall optimal path conditions are selected. Another possible methodology (Methodology-2) for optimisation is to consider all the stages as a single system, with their interdependency, and thereby determine the overall optimal path conditions. In this paper, an attempt has been made to compare and contrast the solution quality, as determined by genetic algorithm, and tabu search for both the methodology. The computational results show the relative superiority of tabu search.

Online publication date: Sat, 16-May-2009

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 Productivity and Quality Management (IJPQM):
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