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.
The world is adopting digital technologies at a rapid pace which are the key enablers to improve every walk of life in the modern era. This quest for digitization has equal rigor within the manufacturing industry. 2D drawings have been used historically to define the specifications of a product for manufacturing. The evolution in digital technologies has made it possible to improve the way of representing these specifications in the form of 3D models which is known as Model-Based Definition (MBD). However, the 2D representation is still the authoritative source within the industry for engineering definition and related documents in the product lifecycle. Though MBD has been adopted in design, discrete part manufacturing, and inspection stages to some extent, the industry heavily relies on the conventional 2D representation of product definition. The digitization process of product definition lies within the adoption of MBD as the authoritative source for all the enterprise activities which is referred to as Model- based Enterprise (MBE). However, there are several uncertainties and risks in this process. In this work, it is ascertained to formulate the key uncertainties in the transformation towards MBD/E. These uncertainties are categorized and analyzed further for visualization.
Globally the manufacturing industry is undergoing a shift in the way product specifications are defined, used, and re-used from conventional drawing-based systems to a comprehensive 3D digital product model. This transformation is at the heart of the digitization processes. The true benefits lie in the adoption of this technology throughout the product lifecycle. However, this digital transformation is partial and many of the stages in the product lifecycle are still heavily reliant on traditional drawings. This is due to the involvement of several uncertainties in the process of adoption of model-based definition. In this paper, a framework is proposed for the systematic assessment of the prevailing uncertainties in the adoption of model-based definition and enterprise. The framework proposed in this paper is aimed at identifying, categorizing, prioritizing, and mitigating the uncertainties in this process.
Disposal of wastes of the companies in general and gas companies in particular is considered a big economic burden upon the company's balance and value, affecting as well its financial, social, and environmental position. Disposal of wastes is not a lawful or environmental duty only, but a moral one too. In order to dispose wastes, technological methods should be followed in order to reach the least amount that can be dealt with in order to achieve sustainable development in these companies, increasing their profitability and achieve social and environmental revenue for society on the other hand. This study aimed at measuring the impact of using analysis of cost and return to get red of the wastes of the gas companies on the value of company
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