A CONCEPTUAL FRAMEWORK AND MATURITY MODEL TO APPRAISE COMPANIES FOR SMART MANUFACTURING

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Onay, Seher/S (2020) A CONCEPTUAL FRAMEWORK AND MATURITY MODEL TO APPRAISE COMPANIES FOR SMART MANUFACTURING. [Dissertation (University of Nottingham only)]

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Abstract

During the past decade, a fourth revolution has dominated the manufacturing industry within the production facilities as well as among the supply chain by utilizing today’s technologies. This new era introduced the smart manufacturing term to the world. As a result, fostering the conversion from traditional to smart manufacturing started. To survive during this transformation, companies need to understand its concept, requirements, and benefits. For this reason, this study aims to provide a comprehensive understanding of fundamental features and components of smart manufacturing, and a model that assesses companies' current status, capabilities, i.e. their maturity in this era.

However, this transformation also brought fear to employees since it creates an image of unmanned production fields. Thus, a human transformation to “adapted people” is also required and assessed during smart manufacturing conversion.

To identify components that build a framework for smart manufacturing and dimensions, levels, and criteria for realizing the maturity of a company in the smart manufacturing era, the last five years' literature was reviewed. As a result, this research presents a conceptual smart manufacturing framework and a maturity appraisal model for assisting companies before and during the smart manufacturing transformation within three dimensions at six maturity levels. On this basis, there are eight core technologies that bring intelligence to manufacturing operations and facilities. Additionally, humans are still one of the essential resources in manufacturing, however, they need to embrace and adapt to this new era.

Item Type: Dissertation (University of Nottingham only)
Depositing User: Onay, Seher
Date Deposited: 13 Apr 2023 10:29
Last Modified: 13 Apr 2023 10:29
URI: https://eprints.nottingham.ac.uk/id/eprint/62278

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