MAINTAINABILITY PREDICTION BY UNIT FUNCTION.
Interim technical rept. for Nov 64-Oct 65,
ARINC RESEARCH CORP ANNAPOLIS MD
Pagination or Media Count:
This report presents the results of a study to determine the feasibility of a maintainability prediction-by-function technique. Shop repair-time data representing over 4500 shop maintenance actions on 78 different line replaceable units, categorized into 25 different function types, were collected at Bunker Hill Air Force Base, Indiana. For selected function types, possible maintainability prediction parameters, such as type of maintenance, depth of maintenance penetration, weight, and volume, that would be available during the early design stage were quantified. The relationship between these parameters and observed mean repair times was analyzed through a multiple regression approach. A set of fourteen prediction equations with factors for obtaining confidence limits were obtained. Although these equations have limited applicability because of the restricted sample, the relatively high observed correlations and generally encouraging results of a verification task indicate the feasibility of developing such maintainability prediction-by-function techniques. Author
- Electrical and Electronic Equipment