The Business Cost of Inadequate Testing and Verification Inadequate Testing Priorities: The Hidden Business Risk in Product Development In product development, testing and verification are often praised in principle but underfunded in practice. Organizations regularly declare quality as a core value, yet budget allocations and schedule pressures reveal a different reality. I am grateful to […]
Quality Improvement in Product Development: The Horse Isn’t Even Near the Water Before we go any further with this blog post, I need to note that this stems from recent consulting work that demonstrated the principle. But that would not have been enough even though these thoughts were rolling through my head. The catalyst was […]
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 […]
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 […]
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 […]
What Is IATF 16949 Standard? The IATF 16949 standard is the global benchmark for automotive quality management systems, built on ISO 9001 and tailored to the automotive supply chain. It defines how organizations design, develop, produce, install, and service automotive products while continually improving, preventing defects, and reducing variation and waste. Standards often get a […]