FEATURE Smart factories and AI
Industry readiness
Industry 4.0
4.0 readiness
By Darren Hugheston-Roberts, Head of Machinery Safety at TÜV SÜD, a global product testing and certification organisation
I
n 2017, Singapore launched the Smart Industry Readiness Index (SIRI), a diagnostic tool to help companies evaluate the Industry 4.0 readiness of their facilities. Its accompanying self-diagnostic I4.0 tool aimed at helping companies worldwide determine how to start, scale and sustain their Industry 4.0 transformation. Industry 4.0 aspirations is to identify which aspects it must address to harness the full potential of the transition. The Index assessment process provides dimensions, as well as crucial insights into the individual facility’s status against While manufacturers’ understanding of Industry 4.0 and its potential value has plans. Realising that companies now execute their transformation roadmaps, a Prioritisation Matrix was also developed, through a partnership of the Singapore Economic Development Board, McKinsey & Company, SAP, Siemens and TÜV SÜD. The aim of the Prioritisation Matrix is to guide manufacturers to identify the areas of focus that will yield the greatest used the Assessment Matrix to determine the Industry 4.0 maturity of their
18 July/August 2023 | Automation
manufacturing facilities. The Prioritisation inputs:
1. Assessment Matrix Score – this
to measure the impact of potential transformation.
– this is a
a percentage of overall revenue. It allows
3. Key Performance Indicators – this is 4. Identify proximity to the best in
have attained, set pragmatic goals and aspirations, and identify the areas with the greatest scope for improvements. certain aspects could use this information to further widen the gap against their competitors.
Industry 4.0 transformation systems, with the advent of Information Technology and Operational Technology wireless communications. This results in the emergence of intelligent and communicating and interacting with one another, and centralised factory control
systems that increasingly give rise to By implementing Industry 4.0 solutions
related to Big Data, machine learning, predictive analytics, and so on, manufacturers can achieve an optimal level of responsiveness, adaptiveness and fully-connected processes of a smart factory. However, planning and executing an Industry 4.0 transformation investments. However, it is hoped that the companies to commit to an Industry 4.0 transformation.
The expectations of Industry 4.0 are product developers and manufacturers to tailor products to customers’ needs faster. However, the connected world of Industry of complexity. There are many reasons Industry 4.0 solutions despite high levels of awareness. One of the most commonly strategy. In a world of scarce resources, information overload and pressures to deliver short-term results, a clear Industry 4.0 vision is essential for companies
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www.tuvsud.com
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