A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0

Butt, Javaid (2020) A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0. Designs, 4 (2). p. 11. ISSN 2411-9660

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Official URL: https://doi.org/10.3390/designs4020011

Abstract

Industry 4.0 (also referred to as digitization of manufacturing) is characterized by cyber physical systems, automation, and data exchange. It is no longer a future trend and is being employed worldwide by manufacturing organizations, to gain benefits of improved performance, reduced inefficiencies, and lower costs, while improving flexibility. However, the implementation of Industry 4.0 enabling technologies is a difficult task and becomes even more challenging without any standardized approach. The barriers include, but are not limited to, lack of knowledge, inability to realistically quantify the return on investment, and lack of a skilled workforce. This study presents a systematic and content-centric literature review of Industry 4.0 enabling technologies, to highlight their impact on the manufacturing industry. It also provides a strategic roadmap for the implementation of Industry 4.0, based on lean six sigma approaches. The basis of the roadmap is the design for six sigma approach for the development of a new process chain, followed by a continuous improvement plan. The reason for choosing lean six sigma is to provide manufacturers with a sense of familiarity, as they have been employing these principles for removing waste and reducing variability. Major reasons for the rejection of Industry 4.0 implementation methodologies by manufactures are fear of the unknown and resistance to change, whereas the use of lean six sigma can mitigate them. The strategic roadmap presented in this paper can offer a holistic view of phases that manufacturers should undertake and the challenges they might face in their journey toward Industry 4.0 transition.

Item Type: Journal Article
Keywords: Industry 4.0, design for six sigma, lean six sigma, additive manufacturing, augmented reality, simulation, autonomous robots, internet of things, cloud computing, big data analytics, cyber security, horizontal and vertical integration
Faculty: Faculty of Science & Engineering
Depositing User: Lisa Blanshard
Date Deposited: 01 Jun 2020 15:28
Last Modified: 09 Sep 2021 18:53
URI: https://arro.anglia.ac.uk/id/eprint/705583

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