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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.
A configuration management database (CMDB) is an ITIL term for a database used by an organization to store information about hardware and software assets (commonly referred to as configuration items). It is useful to break down configuration items into logical layers. [1]
Create master structure Summation of the relationships of the items (parts, subassemblies, assemblies) resembles in a master structure. Documenting: Link product definition: Documents that describe the parts are pointed out from the product structure. This allows the user to easily find a document of the correct revision. Define product ...
With the emergence of the Internet, the capability of MDBs increased. Web-enabled MDBs provide a more centralized management and conservation of Materials data. Finding and accessing the required data is faster than to search for them in a traditional manner, e.g. from handbooks or Microsoft Excel files.
MaterialCenter is a materials data management system designed to capture data from integrated processes for traceability across the enterprise during the entire product life cycle. [1] It serves as the single point of entry for materials related activities such as physical test data entry and reduction, multi-scale materials modeling, approval ...
Master data represents "data about the business entities that provide context for business transactions". [1] The most commonly found categories of master data are parties (individuals and organisations, and their roles, such as customers, suppliers, employees), products, financial structures (such as ledgers and cost centres) and locational concepts.
Master data management (MDM) is a discipline in which business and information technology collaborate to ensure the uniformity, accuracy, stewardship, semantic consistency, and accountability of the enterprise's official shared master data assets.
Examples are, the frequency to be used for keyless entry, the variant of the exhaust system needed for a particular configuration of the vehicle and the emission standard to be fulfilled by the vehicle. Figure 2. Configuration lifecycle managed through models composed of features that are an abstraction from the physical data layers.