Data · dataset · 2018
Statistical Thinking in quality improvement: use, difficulties and benefits of its implantation in industries of the Brazilian State of São Paulo
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Description
Abstract
Paper aims Identify the use of statistical thinking and techniques and their main difficulties and benefits in the Brazilian State of São Paulo industries. Originality There are few empirical studies on the application of the statistical thinking and techniques which study their difficulties of implementation and their benefits in manufacturing companies. Research method A web survey of a sample of 243 manufacturing companies.
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Main findings The companies, in general, use some statistical principles and basic techniques for process control and improvement, however, companies that use principles and techniques more consistently have greater operational and team benefits. The main difficulties are associated to lack of culture and knowledge. Implications for theory and practice The statistical application enables effective processes improvements and it is associated with motivation for further improvements, consolidation of improvement programs and culture of quality.
This finding suggests managerial implications such as to plan actions to deploy and disseminate the culture of statistical thinking in an evolutionary way, training and support for use and to overcome barriers.
Links
Where it is published
- Repository landing page scielo.figshare.com/articles/Statistical_Thinking_in_quality_improvement_use_diffi… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.7418576.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1590/0103-6513.20180062 doi.org/10.1590/0103-6513.20180062 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.7418576.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.7418576.v1 ↗
catalogue entry · from DataCite
Topics
- Inferred from text
- Manufacturing engineering 74%
Related
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.7418576.v1 | 13 d ago | JSON v1 |
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| concepts[field].anzsrc:group:4014 | enrichment · DataCite | taxonomy-embedding@1.1.0 | title+keywords+description (74%) |
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