Introduction to Quality Engineering¶
Taguchi, G. (1986). Introduction to Quality Engineering: Designing Quality into Products and Processes.
Cited by¶
3 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Blocking (In Experimental Design)
- T5 — Blocking efficiency gains versus heterogeneous treatment effects. Blocking improves power and precision when the treatment effect is homogeneous across blocks — i.e., the treatment operates similarly at all levels of the blocking variable
This sourceAsian Productivity Organization, Tokyo. Robust-design methodology separating control factors from noise factors and assuming effect homogeneity across noise conditions.
- T5 — Blocking efficiency gains versus heterogeneous treatment effects. Blocking improves power and precision when the treatment effect is homogeneous across blocks — i.e., the treatment operates similarly at all levels of the blocking variable
- Engineering Tolerances
- The deeper insight is that specification of tolerance is not optional or secondary — it is the primary design decision that determines whether a design is manufacturable, assembles successfully, and performs reliably across the normal variation expected in the supply chain, production process, and field use
This sourceReformulates quality as continuous loss (the quality-loss function) tied to deviation from target — supports the claim that tolerance specification is the primary design decision determining manufacturability and reliability (D34-031).
- The deeper insight is that specification of tolerance is not optional or secondary — it is the primary design decision that determines whether a design is manufacturable, assembles successfully, and performs reliably across the normal variation expected in the supply chain, production process, and field use
- Factorial Design
This sourceThe robust-design tradition built on (often fractional) factorial designs with emphasis on signal-to-noise ratios and loss functions.
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