『Great Question: A Manufacturing Podcast』のカバーアート

Great Question: A Manufacturing Podcast

Great Question: A Manufacturing Podcast

著者: Endeavor Business Media’s Manufacturing Group
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Great Question: A Manufacturing Podcast offers news and information for the people who make, store and move things and those who manage and maintain the facilities where that work gets done. Manufacturers can listen for critical insights into the technologies, economic conditions and best practices that can influence how to best run facilities to reach operational excellence.Copyright 2019 All rights reserved. 経済学
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  • How PM Optimization Improves Reliability and Reduces Unplanned Downtime
    2025/06/19

    In this episode of Great Question: A Manufacturing Podcast, Thomas Wilk, chief editor of Plant Services, is joined by Brian Hronchek, principal trainer and consultant with Eruditio, to discuss a topic in the air these days: PM optimization. These efforts start with the question, “What is the outcome that you want?” And that outcome is for the seasoned technician and the new technician to be able to return exactly the same results when they do the same inspection on a mechanical asset.

    Key takeaways
    • PM optimization starts with clear goals: inspections should yield identical results from both seasoned and new technicians.
    • Many PMs lack value—use metrics like PM/PdM yield to identify and improve or eliminate ineffective tasks.
    • Aligning maintenance with planning and scheduling reduces downtime and prevents reactive repair chaos.
    • Trimming bloated PMs and focusing on useful inspections can boost uptime, cut stress, and streamline production.
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    28 分
  • The Convergence of Neurodiversity and Workplace Safety (Talking EHS)
    2025/06/13

    John Dony, CEO and co-founder of What Works Institute, explains why policies, procedures and other accommodations for neurodivergent workers can make work safer for everyone.

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    25 分
  • Digital Transformation Coming from Computer Hardware, Not Just AI Chatbots
    2025/06/12

    Large language model (LLM) AIs have captured the world's attention with their ability to interpret plain-language and convert simple queries into machine language. But, the big advances in manufacturing design and execution are going to rely on updated hardware, says Deb Golden, chief innovation officer at Deloitte.

    At Siemens recent Realize Live event in Detroit, Golden sat down with IndustryWeek Editor-in-Chief Robert Schoenberger to talk about where companies can leverage manufacturing technologies to gain an edge. And at just about every turn, the conversation returned to hardware.

    AI is giving companies a better view of their operations?

    “We’re in such a rush to make humans think better, faster, quicker. The only way we could do that is with compute time and space,” Golden said. “We have to know the health of the actual hardware that [manufacturing processes are] operating on. I don’t care where that [compute] hardware is, if it’s sitting on prem, if it’s sitting in the cloud, if it’s sitting literally in outer space on the satellite.”

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    21 分

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