The Transition to Smart Manufacturing
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Webinar Title The Transition to Smart Manufacturing
Date This event has passed. Request for the recording below.
This webinar is suitable for Executives, Managers, Senior Managers, Educators, and Government Officials involved in the Manufacturing Industry.
ABOUT THE WEBINAR
No industry is immune to the disruptions brought by both COVID-19 and accelerated adoption of rapidly developing technologies. While the impact of the crisis has presented many challenges to the manufacturing industry, such as supply chain disruptions, supply and demand shocks, and supplier resilience, companies are now coming into the crosshairs as the pandemic spotlighted the importance of embracing industry 4.0.
The pace of digital transformation is relentless and reveals strong emerging currents to reshape the way traditional factories work. Smart Manufacturing has surged in relevance, which involves adding a level of intelligence from manufacturing process to administrative process through digital technologies.
While manufacturers recognize the need and speed to embark on this revolution, they often find themselves stuck in this unfamiliar territory, with no clear approach for quickly scaling up this digital transformation. They would need to hunt and set up an infrastructure that allows them to take control over their production, enabling them to collect data, automate machines, get real-time information, bird’s-eye view of their business performance, and support remote work.
In this webinar, we will be going to explore how you can adapt to this transformation, prepare your business for when the dust settles. Our experts will reveal how MONITOR can help you leverage an ecosystem of advanced analytics solutions at scale.
The time for manufacturers to act and transition to Smart Manufacturing is now.
Key takeaways from this webinar:
1. Learn how MONITOR Machine Integration (MI) can help you gain insights into machine status, defect rates and OEE levels.
2. Learn how to interpret collected manufacturing cost data for current and future efficiencies.
3. Learn how actionable data at different levels help you reduce uncertainty and anticipate change.