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 […]
PFMEA Control Gap: Control Plan Tools That Fail During Transition The PFMEA (Process Failure Mode and Effects Analysis) control gap is one of the most common root causes of quality failures in manufacturing. It occurs when the Process Failure Mode and Effects Analysis (PFMEA) indicates that risks are controlled, but actual shop-floor execution indicates otherwise. […]
The Iterative Development Process in Modern Product Development The iterative development process is not a single activity or phase—it is a system of interconnected disciplines working together throughout the product lifecycle. The attached graphic illustrates this system as a set of interlocking gears, each representing a critical capability required to move from concept to successful […]
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 […]
What PPAP Is Trying To Achieve (And Often Does) At its best, PPAP in manufacturing is a structured way to prove that a supplier’s process can repeatedly produce parts that meet all customer and regulatory requirements. The AIAG PPAP intent aligns with Ioan Feloniuk’s framing: demonstrate that design intent, process capability, and evidence are in place […]
APQP Testing Limitations in Automotive and Manufacturing Quality Advanced Product Quality Planning promises robust launches, but APQP testing limitations often emerge when teams equate “meets spec” with “fit for use.” APQP testing limitations become most evident when products pass all defined tests yet still fail in customer applications, field use, or long-term durability. The root cause […]
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 […]