5 steps toward digital transformation in manufacturing
Industry 4.0, also known as the Fourth Industrial Revolution or 4IR, brings us one step closer to the factories of the future. This new era of smart manufacturing leverages connected devices and industrial Internet of Things (IIoT) technologies to continually monitor machines and self-diagnose issues, uncovering new ways to widen margins and generate revenue.
Despite the benefits of Industry 4.0 and industrial automation 4.0, many manufacturers have been slow to make the transition. They’re often held back by legacy equipment, workforce and talent gaps or budget constraints in implementing smart Industry 4.0 solutions.
A sound digital strategy can help manufacturing companies overcome these hurdles and embrace the Fourth Industrial Revolution. Companies need to map out their long-term strategic goals before they start adding bells and whistles to the plant floor. Every technology deployment should align with the company’s longer-term vision for people, processes and digital technologies.
Follow these five steps to bring everything into alignment and plan a successful digital transformation for Industry 4.0 manufacturing:
1. State the business case
Technology investments in Industry 4.0 solutions should pay for themselves — at a minimum.
Calculate the difference a digital tool or technology would make in business terms, such as uptime, asset utilization, scrap reduction or productivity. Match real, financial figures to the features and tools you plan to adopt, such as IoT sensors, robotics or AI-powered manufacturing systems. Map out the ROI upon adoption and over time, so leaders can see the sustainable effects of transformation in the context of smart manufacturing 4.0.
2. Start connecting data
Don’t wait to launch your Industry 4.0 initiative. Start collecting and aggregating data from the tools you have today, laying the groundwork for industrial automation 4.0.
Identify key data that you need to support the business case and evaluate performance. What do you have access to today? What’s missing? Which KPIs need to be monitored in real time? Later, you can use this inventory to guide how you connect data sources across the plant floor, integrating IIoT and connected devices.
3. Measure and share performance metrics
Use your data to create actionable metrics and increase visibility about what’s happening on the floor. Make sure the information gets to the right people, at the right times, so they can initiate improvements in line with Industry 4.0 principles.
Not sure where to start? Look at data on overall equipment effectiveness, total effective equipment performance, mean time before failure or mean time to repair. These metrics are crucial for implementing predictive maintenance strategies in the context of smart manufacturing 4.0.
4. Integrate data from the shop to the top
Different systems format and define data differently, and data is often interrelated. A common interface makes it more efficient to exchange production, inventory, quality and maintenance data — and mitigates the chances for risk or error in your Industry 4.0 implementation.
Start connecting data from the shop floor into enterprisewide systems, like an ERP tool. Manufacturers can follow the International Society of Automation’s model for operations management (ISA-95) for best practices on data exchanges and controls. This integration is key to achieving true IT/OT convergence in the Fourth Industrial Revolution.
5. Predict and influence quality
With connected data and real-time performance measures, manufacturing companies can start looking ahead. Instead of reporting on past performance, you can predict outcomes and quality events and make better decisions during key moments, leveraging the power of big data and data analytics in Industry 4.0.
Leverage artificial intelligence and machine learning to drive toward zero downtime and zero defect manufacturing, key goals of smart factory 4.0 initiatives.
The human element of the digital journey
A successful transformation isn’t a completely digital affair. Smart factories and Industry 4.0 tools are connecting workers.
People need to adopt and trust tools to make a difference. Advocate for intuitive interfaces and tools that enhance the employee experience and safety, such as wearables, augmented reality or virtual reality. Ultimately, digital transformation in Industry 4.0 improves outcomes by supporting worker productivity, training and remote assistance. This focus on workforce upskilling is crucial for the success of any Industry 4.0 initiative.
Use technology as a force multiplier
A digital transformation roadmap should account for people and processes, not just technology. When everything comes into alignment, each element of the business becomes supercharged in the context of Industry 4.0.
Start small. Create a pilot use case to test Industry 4.0 technologies like IoT, cloud computing, and edge computing, and build support. Use learnings from the proof of concept to create a template for future projects, training and assessment plans.
Note all the wins, no matter how small, so you can replicate and scale the results. Over time, you’ll establish an internal center of excellence to launch from, driving your factory digital transformation forward.
How Wipfli LLP can help
Zero downtime. Zero defects. Maximum ROI. We stay focused on the business outcomes you need to achieve, so you can select, implement and adopt the right tools for your Industry 4.0 journey. Our technologists understand how to match strategy to solutions so you can run more efficiently in the era of smart manufacturing 4.0. To learn more about our Industry 4.0 solutions, contact us today, or keep reading:
