The full text of this article:

Opening up the black box of performance measurement: an analytic hierarchy process-based approach
by Jukka Korpela, Jaana Sandstrom, Kalevi Kylaheiko
International Journal of Manufacturing Technology and Management (IJMTM), Vol. 8, No. 4, 2006
Abstract: In this paper, an analytic hierarchy process (AHP)-based framework is developed in order to better analyse the outcomes of the performance measures. The goal is to reveal the underlying and often hidden reasons behind performance levels and to define an action plan for improving performance. The proposed framework includes the following steps: defining the critical success factors for a company; linking the relevant performance measures to the success factors; analysing both internal strengths and weaknesses and external opportunities and threats; defining potential actions necessary for improving the performance. An AHP-model will be used for opening up the critical relationships between the underlying measurement-determining factors and for deriving priorities concerning them. The proposed framework is demonstrated with an illustrative example.

is only available to individual subscribers or to users at subscribing institutions.

Pay per view: If you are not a Subscriber and you just want to read the full contents of this article, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is Thirty Euros (€30)

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Manufacturing Technology and Management (IJMTM) journal, that have been redirected here, please check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

If you are not yet a Subscriber to International Journal of Manufacturing Technology and Management (IJMTM) journal, you can subscribe by following a few simple and quick steps. A subscription will give you complete access to all articles in the current issue, as well as to all articles in the previous three years, where applicable. Click here to subscribe.

Should you experience further difficulties or have any enquiries, please email subs@inderscience.com