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・ Materiality
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・ Materiality (auditing)
・ Materiality (digital text)
・ Materiality (interior design)
・ Materiality (law)
・ Materialization
・ Materialization (paranormal)
・ Materialized view
・ Materials & Design
・ Materials (journal)
・ Materials Adherence Experiment
・ Materials Analysis and Technology
・ Materials and Structures
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Materials data management
・ Materials database
・ Materials Evaluation
・ Materials for Industry - Derek Birchall Award
・ Materials for the Arts
・ Materials for use in vacuum
・ Materials Genome
・ Materials Horizons
・ Materials informatics
・ Materials International Space Station Experiment
・ Materials Knowledge Transfer Network
・ Materials management
・ Materials MASINT
・ Materials oscilloscope
・ Materials physics


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Materials data management : ウィキペディア英語版
Materials data management
Materials data is a critical resource for manufacturing organizations seeking to enhance products, processes and, ultimately, profitability. This data describes the properties and processing of the materials that these organization uses - metals, alloys, plastics, composite materials, ceramics, etc. This data may come from a wide range of sources - e.g., materials testing, quality assurance, or measurement of product performance. The process by which manufacturers manage and use such information is one essential 'cog' in the larger machine that is the product lifecycle.
One project that has looked at this issue in-depth is the Material Data Management Consortium (MDMC),〔http://www.mdmc.net, The Material Data Management Consortium〕 a collaboration of leading aerospace, defense, and energy enterprises - organizations such as NASA, Boeing, Rolls-Royce plc, Honeywell, and GE Aviation. The MDMC has identified the problems caused by failures in the materials data management process and investigated how an optimized process can lead to better innovation and quality.
== Materials data management problems ==
Problems typically relate to productivity and data integrity. They begin with difficulties in consolidating specialized data stored in disparate sources and varied formats. Problems continue with the challenge of controlling and using approved information effectively throughout an organization, often within complex processes. These include:
* Engineers spending hours finding property data to support analysis or simulation
* Materials scientists duplicating existing test results or generating data that goes unused
* Design iterations failing due to outdated or inconsistent data
* Weeks taken tracing the source of design data for certification, or customers, or to support the design process
This final issue ('traceability') is particularly important in quality and safety-conscious industries (such as aerospace or medical devices) where engineers need to be able to trace the full pedigree for a manufactured component - ideally, not just back to the design, but to all of the raw (materials and other) data used to create the design. This need for traceability has been a key driver for many commercial materials data management projects.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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