Multi-response optimisation of EDM parameters using data envelopment analysis
by Jambeswar Sahu; Siba Sankar Mahapatra; Chinmaya P. Mohanty
International Journal of Productivity and Quality Management (IJPQM), Vol. 15, No. 3, 2015

Abstract: In this work, machinability studies of AISI D2 steel on a die-sinking electrical discharge machine (EDM) using brass tool has been reported. A response surface methodology (RSM) is adopted to establish effect of various process parameters on important responses. Data envelopment analysis (DEA) is adopted to obtain relative efficiency for each experimental run treating them as decision making units (DMUs). Considering the relative efficiency as an equivalent response, the effect of each processing parameter is analysed and the optimal setting is reported. With the best combination of parameter setting, a thermo-physical model is developed to validate the optimal setting.

Online publication date: Sat, 18-Apr-2015

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