Abstract
Recently, researchers have proposed various maturity models (MMs) for assessing Industry 4.0 (I4.0) adoption; however, few have proposed a readiness framework (F/W) integrated with technology forecasting (TF) to evaluate the growth of I4.0 adoption and consequently provide a roadmap for the implementation of I4.0 for smart manufacturing enterprises. The aims of this study were (1) to review the research related to existing I4.0 MMs and F/Ws; (2) to propose a modular MM with four dimensions, five levels, 60 second-level dimensions, and 246 sub-dimensions, and a generic F/W with four layers and seven hierarchy levels; and (3) to conduct a survey-based case study of an automobile parts manufacturing enterprise by applying the MM and F/W to assess the I4.0 adoption level and TF model to anticipate the growth of I4.0. MM and F/W integrated with TF provides insight into the current situation and growth of the enterprise regarding I4.0 adoption, by identifying the gap areas, and provide a foundation for I4.0 integration. Case study findings show that the enterprise’s overall maturity score is 2.73 out of 5.00, and the forecasted year of full integration of I4.0 is between 2031 and 2034 depending upon the policy decisions.
Highlights
I4.0 is more about intelligent manufacturing systems such as self-adapting processes and real-time communication, which go beyond traditional automation [8]
technology forecasting (TF) can be used for both quantitative or qualitative studies. These studies offer an auxiliary role to managers, and they are required to choose the use of quantitative or qualitative methods
The literature review focused on maturity models and framework models, which resulted in the development of a viable maturity model based on a strong framework
Summary
The term Industry 4.0 (I4.0) comes from a project in the high-tech strategy of the German government aimed at stimulating the digitalization of manufacturing and supporting small and medium-sized enterprises (SMEs), helping them to exploit I4.0 strategies in terms of standardization and norms, security, legal frameworks, research, and workforce transformation [3]. I4.0 is more about intelligent manufacturing systems such as self-adapting processes and real-time communication, which go beyond traditional automation [8]. The I4.0 vision manages the value chain across the product lifecycle. It involves ordering, development, production, and providing customized product demands. Real-time monitoring availability of all relevant information through the connection of all objects in the value chain allows precise predictions about the capacity to determine the optimal value flow.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
