DocumentCode :
543956
Title :
Engine fleet reliability data management optimization
Author :
Gebhard, John R.
Author_Institution :
Rolls-Royce Corp., Indianapolis, IN, USA
fYear :
2011
fDate :
24-27 Jan. 2011
Firstpage :
1
Lastpage :
6
Abstract :
Rolls-Royce maintains a strong commitment to providing the highest quality gas turbine power system products in the marketplace today. However, given the global pressures to achieve a high level of quality at a low predictable cost of ownership under the new TotalCare\\®, MissionCare\\® and CorporateCare\\® maintenance agreements, Rolls-Royce utilizes reliability improvement programs early in a products life cycle to grow the reliability to maturity in an effort to assure the maintenance agreement costs are set competitively. Maintaining a highly reliable product has not always been the number one priority of some gas turbine engine programs due to the nature of previously negotiated contracts which had different primary objectives in mind. As the legacy contracts slowly begin to phase out, it becomes increasingly important to assess the early reliability of the engine fleet by reviewing component condition data for each engine, collected during the time of each engine shop visit. Evaluating shop visit data to increase the products reliability is an extremely labor intensive and costly process. Until recently the benefits from a data collection effort were thought to be immeasurable. Therefore, allocating the correct type and scale of resources necessary to understand the root cause(s) behind any reliability shortfalls is paramount. Overall, reliability data collection efforts serve more than one purpose to the engine program. Therefore, an optimization tool was developed to assure the correct data collection strategy is adopted. The tool is known as the REliability Data Collection Optimization Tool or REDCOT. The ultimate goal of REDCOT is to correctly recommend to the user which of three different typical data collection strategies available offers the greatest life cycle cost benefit. It is important to note that the output from REDCOT does not provide the user with recommended system architecture, but instead si- > - > mply aids in steering a programs data collection strategy. Applying REDCOT to define new data collection requirements helps assure resources are not allocated unnecessarily to collect shop visit records which are not needed to help improve product reliability. Case studies demonstrate a recommended range of data collection coverage during the fleets shop visits in order to assure the reliability can be improved by selecting the appropriate root cause to address.
Keywords :
aerospace engines; aerospace industry; gas turbines; information management; maintenance engineering; production engineering computing; reliability; CorporateCare; MissionCare; REDCOT; REliability Data Collection Optimization Tool; Rolls-Royce; TotalCare; component condition data; data collection; engine fleet reliability data management optimization; gas turbine engine; gas turbine power system; maintenance agreement; product life cycle; product reliability; quality level; reliability improvement program; shop visit record; Data models; Engines; Equations; Mathematical model; Optimization; Power system reliability; Reliability; Monte Carlo simulation; data collection; reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2011 Proceedings - Annual
Conference_Location :
Lake Buena Vista, FL
ISSN :
0149-144X
Print_ISBN :
978-1-4244-8857-5
Type :
conf
DOI :
10.1109/RAMS.2011.5754462
Filename :
5754462
Link To Document :
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