In this episode of Great Question: A Manufacturing Podcast, Thomas Wilk speaks with Tony Peterson and Jeff Shiver about a three-phase approach to preventive maintenance optimization and its impact on manufacturing performance. The conversation explores how improving PM accuracy, leveraging tools like P&IDs and CMMS data, and engaging technicians can shift operations from reactive to proactive maintenance. They also discuss common pitfalls in PM programs, including low-value tasks and scheduling challenges, along with strategies to improve compliance and efficiency.

Most grownup professionals are smart people, but that doesn't mean we don't do some really stupid things from time to time. Think about your last expense report. Between filling out the forms, supervisors checking them, accounting reviewing them again (and sending them back five times because you used the wrong code for the rental car company), companies spend vast sums of money every year in hopes of preventing someone charging a bottle of cold medication back to their employer.

Procurement in manufacturing is similarly penny wise and pound foolish. At the Grainger Show in Florida in March, one poster showed how the average company uses seven people and $100 in approvals and management time to buy a $17 hammer. Sound familiar?

In a series of wide ranging conversations at the show, IndustryWeek's Robert Schoenberger and New Equipment Digest's Laura Davis spoke with:

• Sam Johnson, group vice president for Customer Solutions at Grainger
• Barry Greenhouse, senior vice president of Merchandising and Supplier Management
• Rick Sigler, vice president of Onsite Services
• Stan Solowski, vice president of Value-Added Solutions
• Derek Hamilton, vice president of Onsite Operations

Full disclosure, Grainger did not sponsor this episode, but the company did cover travel costs for editors to attend their customer event.

In this episode of Great Question: A Manufacturing Podcast, Plant Services chief editor Thomas Wilk and Eruditio principal trainer and consultant Brian Hronchek discuss how many organizations underutilize their CMMS systems and miss opportunities for efficiency. They explore practical strategies to unlock more value, including standardizing preventive maintenance activities and leveraging built-in functionality for corrective work. The conversation also highlights how better resource planning can improve outage execution and reduce costly conflicts.

Smart Manufacturing is the label that has emerged to describe production systems that incorporate digital technologies, real-time data, and interconnected systems to make manufacturing processes more automated, adaptive, and efficient. It involves sensors, data analytics, artificial intelligence, and connected machines that monitor, optimize, and automate manufacturing processes in real time.

In this episode of Great Question: A Manufacturing Podcast, and prompted by the developer’s recent State of Smart Manufacturing report, we asked Evan Kaiser, Rockwell Automation vice president for Global OEM and Emerging Industries to tailor the insights there for small and midsized manufacturers, to help them understand the smart manufacturing investments, practices, and strategies, that will help them get connected and stay competitive.

Connected procurement integrates all stages of the source-to-pay process, providing real-time visibility and enhancing organizational agility. In this "In Case You Missed It" podcast, based on an article from two Accenture procurement experts, you'll hear how organizations are shifting from reactive procurement processes to connected, data-driven workflows that enhance agility, resilience and strategic value amid global disruptions.

IndustryWeek's Dennis Scimeca recently hosted a roundtable discussion at Fluke's annual Xcelerate conference, an event centered around industrial maintenance and asset protection.

Joining Dennis were three professionals from three very different industries:

• Jason Hahn, Amsted Automotive
• Lee McClish, NTT
• Nathan Kibert, Eaton

In the session, the panel discussed the impact of AI on supply chains, maintenance and production.

With artificial intelligence (AI), mass customization and shrinking lot sizes changing expectations in manufacturing, companies need new skills and abilities from those who they hire. So, where do you find an entry level engineer with years of experience and training in how to deal with the constantly changing needs of production?

Kettering University President Robert McMahan says getting students experience while in school is key. The former General Motors Institute (a private university, separate from the automaker since the early 1980s) has long used factory floors and design centers as training grounds for student education. Current GM CEO Mary Barra is among the school's alumni who got their first taste of manufacturing while studying engineering there.

In this episode, McMahan talks to IndustryWeek's Anna Smith about the school's educational co-op model and how schools need to collaborate with manufacturers to prepare the next generation of industrial leaders.

Samuel Pasquier, head of product management for Cisco System's Industrial IoT Connectivity Portfolio, says manufacturers want to use more AI in factories to drive efficiency and growth, but many programs are stuck in trial and failing to produce expected gains.

New research from the networking technology company shows that two major factors are getting in the way: computing power and the network bandwidth to access that compute.

In this conversation with Smart Industry's Scott Achelpohl, Pasquier discusses what challenges still face AI-driven digital transformation efforts and what steps manufacturers can take to set themselves up for success.