Value of information and experimentation in milling profit optimisation
by R.E. Zapata-Ramos, T.L. Schmitz, M. Traverso, A. Abbas
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 2, No. 5/6, 2009

Abstract: This paper presents a decision-analytic approach to milling optimisation in the presence of uncertainty. The decisions include the milling parameter settings and the uncertainties include the probability of stability and tool life. We quantify the stability uncertainty by Monte Carlo simulation, where the force model coefficients and frequency response function uncertainties are propagated through the stability model. We treat tool life uncertainty using encoding. We then apply a single attribute objective function, expected profit, to determine optimal settings. Using this formulation, we determine the value of an experiment, the optimal experiment settings, and the value of perfect information.

Online publication date: Thu, 03-Sep-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 Mechatronics and Manufacturing Systems (IJMMS):
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