Gregorio, J; Hughes, J; Lorch, C (2023) Model Based Definition – Recommendations for Supply Chain Integration. NPL Report. MS 46

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Abstract

Model-Based Definition is a term that is gaining more recognition and use by manufacturers across various industries. MBD models are 3D CAD models that contain all the necessary information to produce a part, including information that would normally be found on a 2D drawing, and the model is ultimately the master file, or the “single source of truth”.

The increased use of CAD models as a manufacturing source led to the American Society of Mechanical Engineers (ASME) creating a standard to define and capture data difficult to outline on engineering drawings and ensure universal interpretation. The adoption of MBD has been slow in some industries due to a lack of understanding of the standards, availability of MBD ready software, lack of understanding of data sets and data management to ensure interoperability of systems and traceability of data. In addition to defining what MBD is, and reviewing MBD and data standards, this report provides recommendations that will allow companies to adopt MBD practices and ensure interoperability of data across their supply chain. These standards further define the requirements of an arbitrary data set.

By defining the data set, companies must develop a data management plan to establish minimum requirements for data quality. Minimal requirements for data handling and curation must also be defined in accordance with current MBD standards, and data should be maintained according to up-to-date data quality standards, even if they do not directly relate with core MBD implementation ideals. Effort should also be made in the direction of training and education less digitally literate suppliers to facilitate supply chain integration.

If companies can implement MBD practices, create a data management plan to handle the data created, and be transparent with their supply chain on the standards that they use, they will be in a better position to collaborate with suppliers and manage those data transactions and relationships.

Item Type:	Report/Guide (NPL Report)
NPL Report No.:	MS 46
Subjects:	Mathematics and Scientific Computing > Modelling
Divisions:	Data Science
Identification number/DOI:	10.47120/npl.MS46
Last Modified:	17 Apr 2023 11:02
URI:	http://eprintspublications.npl.co.uk/id/eprint/9640

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