Abstract
Model-Based Definition (MBD) is being adopted by the manufacturing industry as a single source for all product information in place of conventional 2D drawings. This paper aims to review the current literature on Model-Based Definition (MBD) and Model-Based Enterprise (MBE) to recognize the main contributions towards the development and implementation of MBD and explore its various perspectives. The publications encompassing technology and applications of MBD are categorized into seven domains. These domains are lifecycle information; design, discrete part manufacturing, and inspection; assembly; maintenance, repair, and overhaul; process planning; engineering change management; and contemporary aspects of digital product definition. The major outcomes of research literature, in these domains, are reviewed and future research directions are identified and formulated. Additionally, the paper highlights the issues and challenges associated with the realization of MBE by the manufacturing industry. These issues are categorized into technical, management, and certification categories. The prevalent issues in each of these categories are further discussed and analyzed.
Highlights
Model-Based Definition (MBD) is based upon the shift from conventional 2D drawings to 3D Computer-Aided Design (CAD) models as a single source of product definition encompassing all the product information and eliminating the need for 2D representation.[1]
In the future, all the product lifecycle data is aimed to be associated with the 3D model
This data commences with the requirement of a product until its retirement.[2]
Summary
Model-Based Definition (MBD) is based upon the shift from conventional 2D drawings to 3D CAD models as a single source of product definition encompassing all the product information and eliminating the need for 2D representation.[1] The automotive and aerospace are the leading industries in the adoption of MBD. Though this adoption is not to the fullest and 2D drawings are still being used. In MBE, models are employed to drive all the aspects of the product lifecycle and this data is created only once and reused for all downstream activities.[3,4]
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