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Subscribers can view annotate, and download all of SAE's content. Logistics Product Data Handbook. View Details. Logistics Product Data Reports Handbook.
Product Support Analysis. It makes use of the Extensible Markup Language XML through the use of entities and attributes that comprise logistics product data and their definitions.
The standard is designed to provide users with a uniform set of data tags for all or portions of logistics product data. The standard can be applied to any industry or government product, system or equipment acquisition program, major modification program, and applicable research and development projects.
This standard is for use by both industry and government activities. As used in this standard, the requiring authority is generally the customer and the customer can be a government or industry activity. The performing activity may be either a industry or government activity. Revision History Related Info. The changes include new entities and attributes to capture reliability analyses results, a redesigned schema, the ability to extend the core entities, and expanding defintions to allow international values.
Related Topics: Failure modes and effects analysis Defense industry Systems management Disaster and emergency management Research and development Data management Identification numbers. Preview Document Add to Cart.
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GEIA-STD identifies the range of logistics product data that is generated during the development and acquisition of a system or end item. It does not prescribe the supportability analyses required to generate logistics product data. GEIA-STD provides a comprehensive list of data elements that can be generated as a result of the supportability analysis conducted during the design, development, and initial fielding of a system or end item. It captures information related to logistics design requirements, reliability and maintainability, system safety, maintenance engineering, support and test equipment, training and training devices, manpower and skills, facilities, transportation, supply support, and parts packaging. The volume of data generated is driven by the engineering level of effort that will be expended in each of the previously mentioned areas e.