Chase Wentzky

Jul 16, 2024 | plantengineering.com | Micah Statler |Thomas Burke |John Tsia-Chuen Kan |Chase Wentzky |Chris Vavra

Learning ObjectivesRecognize the key developments from Industry 1.0 through Industry 4.0 and how each phase has built upon the previous to revolutionize manufacturing and production practices.

Dec 19, 2023 | plantengineering.com | Thomas Burke |John Tsia-Chuen Kan |Chase Wentzky |Eric Whitley |Chris Vavra

Learning Objectives Understand network considerations with edge computing. Learn how time-sensitive networking (TSN) enables faster reaction time in manufacturing. Learn how real-time decision making can be enabled with TSN. Edge computing insights Smart applications generate unprecedented data volumes, enabling deep insights into equipment status and processes, leading to enhanced productivity and efficiency improvements.

Dec 15, 2023 | plantengineering.com | Chris Vavra |John Tsia-Chuen Kan |Chase Wentzky |Eric Whitley

RespondentsMithun Nagabhairava, senior manager, data science and AI, Kalypso, Austin, Tex. Daniel Pender, global manager, markets and strategy, Rockwell Automation, MilwaukeeJoe Wagner, MS, field application engineer, Red Lion, SacramentoQuestion: How can artificial intelligence and machine learning (AI/ML) be leveraged in plant automation to drive process optimization?

Nov 29, 2023 | plantengineering.com | John Tsia-Chuen Kan |Eric Whitley |Tyler Wall |Chase Wentzky

Learning ObjectivesBuild a training culture that is flexible, economically sustainable and attracts and nurtures top talent. Understand the interplay of three key groups and their roles in technology adoption and training. Review suggested industry 4.0 technical skills to cover in on-boarding training. Workforce development insightsWhen considering your plant’s workforce, look at the work experience, skill level and ability to adopt new technology.