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Outstanding applications in maintenance and quality 4.0

Think big, start small and secure return on investment for Industry 4.0 and predictive analytics.

By Plant Engineering Staff October 23, 2023

Learning objectives

  • Understand why it’s time to act now, demonstrate leadership, build the business case for Industry 4.0 and predictive analytics, and get started.
  • Learn how to think big, start small and deliver return on investment (ROI).
  • Take a systematic path to drive the right technology adoption and scale as needed.
  • Identify how to empower maintenance and quality personnel with predictive and prescriptive insights.

Reducing unplanned downtime or minimizing scrap by even a few percentage points can yield millions of dollars in savings for manufacturers. Leading manufacturers leverage the Industrial Internet of Things (IIoT), machine learning and metrics to achieve shop-floor efficiency and productivity.

The question is, does your organization have the necessary organizational and technical maturity to embark on Industry 4.0 and predictive analytics projects?

You’ll be better able to answer that question once you’ve attended this presentation on real-world applications of IIoT and Industry 4.0 to implement predictive analytics for core manufacturing processes.

The presenters will also discuss the “digital tools of the trade” that support Industry 4.0 with a systematic approach, with a focus on connectivity and data management, as well as the return on investment that can be wrung from Maintenance and Quality 4.0 projects.


Author Bio: Since 1947, plant engineers, plant managers, maintenance supervisors and manufacturing leaders have turned to Plant Engineering for the information they needed to run their plants smarter, safer, faster and better. Plant Engineering‘s editors stay on top of the latest trends in manufacturing at every corner of the plant floor. The major content areas include electrical engineering, mechanical engineering, automation engineering and maintenance and management.