The DOI matches its Crossref record, with a small difference in title or year.
Economic Quality Control of Manufactured Product 1
Abstract
That we cannot make all pieces of a given kind of product identically alike is accepted as a general truth. It follows that the qualities of pieces of the same kind of product differ among themselves, or, in other words, the quality of product must be expected to vary. The causes of this variability are, in general, unknown. The present paper presents a scientific basis for determining when we have gone as far as it is economically feasible to go in eliminating these unknown or chance causes of variability in the quality of a product. When this state has been reached, the product is said to be controlled because it is then possible to set up limits within which the quality may be expected to remain in the future. By securing control, we attain the five economic advantages discussed in Part III.
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Ayo Ayenigba, A., & Michael Ajao, O. (2025) · Ajayi Crowther Journal of Pure and Applied Sciences · doi:10.56534/acjpas.v4i1.137
Metadata
- Authors
- Shewhart, W. A.
- Corresponding author
- Shewhart, W. A.
- Venue
- Bell System Technical Journal
- Published
- 1930-04
- Volume
- 9
- Issue
- 2
- Pages
- 364-389
- ISSN
- 0005-8580 (ISSN-L)
- OpenAlex
- W1982937155
- Cited by
- 155
- References
- 0
- Citations by year
- 2026: 19 · 2025: 18 · 2024: 19 · 2023: 14 · 2022: 5 · 2021: 12 · 2020: 16 · 2019: 11 · 2018: 8 · 2017: 9 · 2016: 5 · 2015: 6 · 2014: 4 · 2013: 1 · 2012: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bell System Technical Journal (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Advanced Statistical Process Monitoring
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management Systems and Quality Improvement
- Keywords
- quality variation, statistical process control, control limits, quality costs, telecommunications equipment industry
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