TY  - CONF
A1  - Schuh, Günther
A1  - Berbner, Jochen
A1  - Lorenz, Bert
A1  - Franzkoch, Bastian
A1  - Winter, Cord-Philipp
A2  - Jinji, Gao
A2  - Lee, Jay
A2  - Ni, Jun
A2  - Ma, Lin
A2  - Mathew, Joseph
T1  - Reliability practices leads to better performance
T2  - Proceedings of the 3rd World Congress on Engineering Asset Management and Intelligent Maintenance Systems (WCEAM-IMS 2008)
N2  - One of the major tasks of operations managers is to boost uptime while simultaneously keeping budget. To meet this challenge they discover reliability-based management as strategic factor to improve performance. But which parameters are the key to “reliability excellence” and drive a company’s performance? What are the relevant levers to pull in reliability-based management?
To answer these questions McKinsey & Company partnered with Aachen University to launch a global reliability survey in process industries. Objective of the initiative is to provide a statistically proven picture of key factors that drive maintenance and reliability excellence. Furthermore benchmarks and best practices concerning overall operational performance will be identified. The study is based on a questionnaire-based approach which addresses all relevant departments within a company, complemented by best practice analyses.
This paper provides results of the survey. The results demonstrate that reliability pays off. Some unproven beliefs have been confirmed (e.g. a good reliability performance results in a low spare part inventory) but also surprises like a correlation between safety and performance were identified. The analysis also shows that structural differences like company size or geography do not influence reliability performance.
KW  - maintenance
KW  - performance
KW  - process industries
KW  - reliability
KW  - value based maintenance
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/3032
SP  - 1366
EP  - 1374
PB  - Springer
CY  - Beijing [u. a.]
ER  -