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MIL STD- Maintainability Prediction

[document] Submitted on 3 September, 2017 - 19:59
Keywords maintainability maintainability prediction MIL STD

2.1 Structure of Time Elements in “’Fix” of Malfunction
Using Figure 1-7 as a guide, it is evident that when the latter is viewed from right to left the following relationships become evident:
(a) Total System Downtime consists of:

1. Initial Delay.
2. System Downtime.

(b) System Downtime comprises:
1. System Static Time.
2. System Repair Time.
3. System Final Test Time.

(c)System Repair Time is the product of Malfunction Repair Time and the number of malfunctions.

(d) Malfunction Repair Time consists of:
1. Malfunction Active Repair Time.
2. Malfunction Administrative Time.

Metadata
Document identifier
MIL-HDBK-472
Date published
1966-05-24
Language of Attachment(s)
English
Document type
military handbook
Pages
176
Defines standard
Replaced/Superseded by document(s)
Cancelled by
Amended by
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MIL STD- Maintainability Prediction.pdf application/pdf   5.86 MB English DOWNLOAD!
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Introduction

THE NEED FOR MAINTAINABILITY PREDICTION:

The prediction of the expected number of hours that a system or device will be in an inoperative or “down state” while it is undergoing maintenance is of vital importance to the user &cause of the adverse effect that excessive downtime has on mission success. Therefore, once the operational requirements of a system are fixed, it is imperative that a technique be utilized to predict its maintainability in quantitative terms as early as possible during tic design phase. This prediction showed be updated continuously as the design progresses to assure a high probability of compliance with specified requirements.

A significant advantage of using a maintainability prediction procedure is that it highlights for the designer, those areas of poor maintainability which justify product improvement, modification, or a change of design. Another used feature of maintainability prediction is that it permits the user to make an early assessment of whether the predicted downtime. the quality, quantity of personnel, tools and test equipment are adequate and consistent with the needs of system
operational requirements.

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