Relaxation in Moderation and Sustainable Success Relaxation is important. Recovery matters. Rest is necessary. But “relaxation in moderation” is an idea that deserves more scrutiny than most people give it. In modern culture, relaxation is often marketed as a permanent or desired end state: avoid stress, minimize discomfort, seek convenience, optimize ease, remove friction. Yet […]

How to Use AI in Business Processes for Faster Quoting, Smarter Design, and Improved Manufacturing Quality Artificial intelligence is no longer experimental—it is becoming essential for companies looking to improve speed, accuracy, and decision-making. The real opportunity lies in applying AI business processes across the value chain, particularly in quoting, design exploration, material substitution, and […]

Why Most Testing Strategies Fail: The Real Problem Isn’t Testing This post is borne out of a LinkedIn post.  If you’re responsible for testing, here’s a simple question: 👉 Do you actually know what’s going on? Not what’s reported.Not what’s assumed.What’s really happening? Because in most organizations, what looks like a testing strategy failure isn’t […]

New Part Number vs Revision Level in Product Management One of the most debated topics in product management and configuration management is the decision between New Part Number and Revision Level. When should a design change require a brand-new part number?When is a revision level update sufficient? The answer affects traceability, supply chain management, quality control, […]

Why Software-Defined Vehicles Demand Stronger Verification and Validation Software-defined vehicles (SDVs) are reshaping automotive engineering. Vehicle behavior is no longer fixed at production; it evolves through over-the-air (OTA) updates, software feature toggles, and AI-enabled decision logic. This shift dramatically raises the stakes for SDV verification.  Personally, I think treating a vehicle like IT equipment may […]

Deterministic vs Probabilistic: Definitions that Matter in Engineering In engineering, deterministic vs. probabilistic refers to how we model cause-and-effect relationships and uncertainty.  The difference between the two requires concepts that are important and should drive how we behave.  A deterministic view assumes that the same inputs will always produce the same output; given the system […]

Welcome to the Project Management Failure Olympics Ah, project management failure, the unsung art form of modern enterprise! Anyone can deliver a project successfully—boring. But to craft a truly magnificent fiasco? That takes vision, overconfidence, and a Gantt chart that looks like spaghetti. The goal isn’t to finish the project. No, it’s to appear incredibly busy while chaos spreads […]

The ROI Trap in Equipment Maintenance Decisions It is cool when I hear engineers early in their career chat with me about their engineering, both design and manufacturing. about, well, I want to say face-palm moments.  One such example is when executives often ask for ROI on equipment maintenance numbers, even though the line has long […]

Why SDVs Demand Stronger Verification and Validation The shift to software‑defined vehicles (SDVs) is transforming automotive engineering—and multiplying its risks. As ECUs consolidate into centralized compute platforms and features increasingly rely on AI, machine learning, and over‑the‑air (OTA) updates, safety, cybersecurity, and reliability take center stage. This complexity makes verification and validation (V&V) more critical than ever. Regulators are tightening expectations […]

The Growing Myth of OTA Quick Fixes The automotive industry loves the promise of OTA software updates. The idea that misbehavior in the field can be “fixed remotely” has become part of both product strategy and marketing. Industry voices often proclaim, “If something goes wrong, we’ll just push an update.” Yet, rising software-related recalls and increasing regulatory scrutiny tell a […]