Developing performance indicators for managing maintenance download

This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset.

Equipment Management in the Post-Maintenance Era. Recent advancements in information systems and computer technology have led to developments in equipment and robotic technology that have permanently changed the characteristics of manufacturing equipment. Includes a detailed table of contents that helps you quickly find specific indicators and a separate a glossary of maintenance terms.

Get A Copy. Hardcover , Second Edition , pages. Published January 3rd by Industrial Press, Inc. More Details Original Title. Other Editions 4. Friend Reviews. To see what your friends thought of this book, please sign up.

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Showing Average rating 4. Rating details. All Languages. More filters. Sort order. Ivan Lopez Maurtua rated it liked it Jul 23, Hadi Davari rated it really liked it Mar 09, Anshul Khera rated it it was amazing Nov 25, Philip A. Guercio rated it really liked it Jul 25, Snglphase rated it it was amazing Feb 20, Lutfian rated it it was amazing Jan 02, Umair Aslam rated it it was amazing Jun 16, There are a few areas that the book does not cover, however, that could have added the cream to the cake.

In addition, although the requirement to have Maintenance performance measures linked to, and congruent with, higher level corporate performance measures is mentioned, there is little discussion on how best to achieve this. Some discussion of Kaplan and Norton's Balanced Scorecard approach may have been appropriate here. On another front, there is no discussion on how best to utilise performance measures for effective decision making.

In my experience, many performance measurement systems are ineffective because the performance measurement system is not properly linked with organisational decision making systems - performance reports are issued, but never effectively used to assist with decision making.

Once again, if the people who provide the source data are also involved in the decision making processes and therefore using the data that they record , this can have a positive impact on data quality.