Final answer:
Measurements should induce the parts to do what is good for the system. It suggests a systemic approach to measurement, while recognizing the importance of accuracy and variance tracking within specific contexts.
Step-by-step explanation:
Measurements should induce the parts to do what is good for the system as a whole. This concept emphasizes the importance of measurements providing informative feedback that can help improve the overall system, not just focusing on individual elements. It suggests a systemic approach to measurement.
While ensuring accuracy (including six sigma levels) and measuring cost, productivity, and schedule variances are part of a robust measurement system, it is most crucial for the measurements to contribute positively to the efficiency and effectiveness of the entire system. That said, options A and B have their own importance within certain contexts, such as quality management with six sigma or project management with cost and schedule tracking.
Variance in measurements, whether from variability in the object being measured or external factors, can impact both the accuracy and precision of measurements. A key part of being able to interpret measurements correctly is understanding and accounting for these variances.