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Below I've outlined 6 Steps to Industry 4.0 success to keep in mind as you begin your digital transformation journey.
A digital twin is a replica of your assets or processes. By first truly understanding your current state, you’ll be in a better starting position to ask and then answer the right business questions.
The total transformation that’s behind Industry 4.0 initiatives requires total management buy-in. Key stakeholders should be involved even before the digital twin is created. The visual nature of the twin is a powerful way to help all stakeholders understand the complex dynamics of their end-to-end operations. Early engagement helps reduce the emotion that’s often encountered with major change.
Management tends to throw resources at a problem during a crisis without a full understanding of the complexity or context of that problem. The digital twin allows for a high-level understanding of how processes behave in different scenarios. This virtual testing ground allows realistic targets to be set from the outset.
You are now in a place to focus on the process stages and technologies predicted to deliver maximum business performance impact. You may want to consider building a more detailed digital twin of your processes so that you can test and experiment with different technology investments that you’re considering. This will allow you to proceed to implementation with confidence.
For more, read Lanner Consultant John Beadsmoore's blog: 5 Steps to Getting Started With Predictive Simulation
With your technology investments prioritized, you now must ensure that the appropriate skills and capabilities are in place ahead of implementation. This can be done through either acquisition or training and development. As you move through implementation, the digital twin should be used to track delivered value against the previously set goals and targets. This will keep implementation on track and maximize returns on an ongoing basis.
The Industry 4.0 journey has no end given it’s aim of continuously improving operational agility. Traditional continuous improvement techniques are grounded in historical data and traditional process analysis. Instead, businesses need to anticipate tomorrow’s innovative performance differentiators and act before someone else does. This is the age of continuous innovation.
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