INDUSTRIAL USE OF STATISTICALLY DESIGNED EXPERIMENTS: CASE STUDY REFERENCES AND SOME HISTORICAL ANECDOTES

Søren Bisgaard

37 citations0/0 files storedQuality Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Optimal Experimental Design Methods Management and Optimization Techniques Statistical Methods and Applications

Abstract

Case studies are important because they provide illustrations of the industrial use of design of experiments. However, they usually are hard to come by. Unknown to many, there are, however, quite a few case studies already published in the literature. M..

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 37 citations exist upstream.

References

1982Out of the Crisis 1932Economic Control of Quality of Manufactured Product.1962Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation 1932Economic control of quality of manufactured product 1940Statistical Method from the Viewpoint of Quality Control.1967Quality Control and Industrial Statistics.1992The Arrangement of Field Experiments 1957Evolutionary Operation: A Method for Increasing Industrial Productivity

Cited by

2005Using Statistical Thinking and Designed Experiments to Understand Process Operation 1999Perspectives on statistical quality engineering

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.