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Journal Photo for Quality Engineering
Peer reviewed only Open Access

Quality Engineering (QE)

Publisher : Taylor and Francis Ltd.
STATISTICS Engineering
e-ISSN 1532-4222
p-ISSN 0898-2112
Issue Frequency Quarterly
Est. Year 1970
Mobile 18006347064
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email orders@taylorandfrancis.com

Journal Descriptions

Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new methods ready for immediate industrial application or novel examples of employed techniques. You are invited to submit application-motivated manuscripts describing methodological contributions and/or case studies related to: Experimental design and analysis Measurement system analysis Process modeling Product and process optimization Quality control and process monitoring Reliability Response surface methodology Risk analysis and management Robust parameter design Statistical engineering Test and evaluation techniques Uncertainty quantification for quality We also strongly encourage manuscripts on emerging areas of quality engineering. For example, manuscripts focused on techniques and tools in Quality 4.0, intelligent manufacturing, data science and analytics for quality, and network systems analysis are particularly welcome.

Quality Engineering (QE) is :-

  • International, Peer-Reviewed, Open Access, Refereed, STATISTICS, Engineering , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0898-2112, E-ISSN: 1532-4222, Established: 1970,
  • Does Not Provide Crossref DOI
  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of QE

Marzieh Khakifirooz June, 2021
We discuss issues related to the use of the normality assumption in statistical process monitoring with continuous data. Our illustrations involve the Shewhart X-chart. We illustrate some of...