Why Warehouse Software Go-Lives Fail - and What Global Supply Chains Pay for It
The recommendations below apply to any warehouse management system implementation. I'll use SAP Extended Warehouse Management (SAP EWM) as my primary example, since that's where I spend most of my time.
Your Manufacturing Supply Chain Tech Implementation Went Live But No One Knows How To Use It
Months of planning, design sessions, data migration, integration work, testing, and executive updates. The platform is live. The project dashboard turns green. The software vendor confirms the system is working as designed. Then the harder question shows up.
How to Maintain Consistent Weld Strength During High-Speed Automated Production
The need for quality control doesn't disappear when facilities install robotic welding cells. High-speed automated weld penetration depends on thermal management, adaptive controls, continuous monitoring and nondestructive testing.
The Value of Additive Manufacturing — When it Works, Why it Works
The fastest way to lose trust in AM is to apply it indiscriminately. The fastest way to unlock its value is to treat it like what it really is: a precise manufacturing tool with defined strengths, defined trade-offs, and a growing role in modern production systems.
Addressing Patch Management Challenges of IT/OT Convergence
Manufacturing facilities that understand the fundamental differences between IT and OT systems can implement best practices that protect critical assets and maintain operational continuity.
Your AI Needs Training. Not Your Workers.
The AI isn't the problem. And neither are your workers. The problem is that nobody treated the AI like what it actually is: a new hire who hasn't stood on your floor yet.
The IIoT Environmental Monitoring Blind Spot: Why Your Connected Factory's Sensor Data May Be Drifting — and Nobody Knows
The technology argument is settled. IoT environmental monitoring in manufacturing is more capable, more scalable, and more cost-effective than what it replaces. The verification argument has to catch up.
A3's Automate 2026 Opens Next Week in Chicago
North America's largest robotics and automation event brings humanoids, AI, industrial robots and the future of automation to McCormick Place June 22-25
AI Is Making Manufacturing Careers More Secure, Not Less
The challenge for manufacturers is no longer proving that these jobs are safe. It is convincing young people to choose manufacturing over other trades like electrical work, green technology, and healthcare.
How Physical AI Is Closing the Gap Between Simulation and the Shop Floor
The manufacturers who will gain competitive ground in the next two to three years are not necessarily those with the largest automation budgets. They are the ones who recognize that the constraint is no longer hardware. The constraint is intelligence.
Universal Orchestration: Managing the Agentic AI Era in Manufacturing
When enterprises lack the control layer to route, govern, or make AI-generated data useful at scale, interoperability and accuracy breaks down. "Confabulation" will compound without human interaction and applied supervision.
The Real Reason Your Manufacturing AI Won't Scale
The real issue is that most manufacturers are trying to scale AI on top of fragmented data, disconnected systems and operational processes that were never designed to support it.
The Hidden Cost of Tail Spend in Manufacturing
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A lack of visibility and coordination across tail spend often masks pricing inconsistencies, supplier duplication, and missed opportunities, making it harder for manufacturers to control costs and reduce risk in an increasingly uncertain global environment.
How Agentic AI is Transforming Smart Manufacturing in 2026
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A new phase of industrial intelligence is emerging through Agentic AI, a technology designed to make decisions, adapt to changing conditions, and complete tasks with minimal human intervention.
Why The Real Bottleneck in Physical AI Isn't the Model—It's Manufacturing
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One of the biggest challenges in scaling physical AI systems is the sheer fragmentation of the manufacturing ecosystem. A single robotic platform might draw on dozens of suppliers each with its own lead times, risk variables, and geographic constraints.
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