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.
All submitted manuscripts are subject to initial evaluation by the Editor and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers.
All peer review is single anonymized. Submissions are made online via ScholarOne Manuscripts. For more information on submitting a manuscript visit our Instructions for Authors page.
Author benefits
We are abstracted and indexed in several prestigious databases including the Science citation index, Scopus, Engineering Index/COMPENDEX and more.
We are affiliated with the American Society of Quality meaning your research will be visible available to all their members.
The prestigious and experienced members of our international Editorial Board will guide you from submission to publication.
Our Author Services page provides you with tips and tricks to promote your research on social media and through your network. This includes 50 free e-prints to share with anyone you wish.
Quickly and easily track the impact your paper makes with the help of Authored Works.
Journal metrics
Usage
85K annual downloads/views
Citation metrics
1.3 (2023) Impact Factor
Q2 Impact Factor Best Quartile
1.9 (2023) 5 year IF
3.9 (2023) CiteScore (Scopus)
Q2 CiteScore Best Quartile
0.955 (2023) SNIP
0.504 (2023) SJR
Speed/acceptance
5 days avg. from submission to first
decision
59 days avg. from submission to first
post-review decision
15 days avg. from acceptance to online
publication
22% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Editor-in-Chief David J. Edwards – The Citadel, South Carolina, USA
Editors Emeritus Marcus B. Perry - The University of Alabama Murat Caner Testik -Hacettepe University Peter Parker - NASA Connie M. Borror - In Memoriam James R. Simpson - JK Analytics G. Geoffrey Vining - Virginia Polytechnic Institute and State University
Founding Editor (In Memoriam) Frank Caplan
Advisory Committee James R. Simpson - Chair Christine M. Anderson-Cook Ronald J.M.M. Does Murat Kulahci
Quality Quandaries Murat Kulahci – Technical University of Denmark
Editorial Board Cesar Acosta-Mejia - University of Southern California, USA Christine Anderson-Cook - Los Alamos National Laboratory, USA Sarah BurkeThe Perduco Group Philippe Castagliola - Université de Nantes, France Subha Chakraborti - University of Alabama, USA Eric Chicken - Florida State University, USA Bart De Ketelaere - Universiteit Leuven, Belgium Jeroen de Mast - University of Waterloo, Canada Xinwei Deng - Virginia Tech, USA Ronald J.M.M. Does - University of Amsterdam, Netherlands Necip Doganaksoy - Siena College, USA David J. Edwards - Virginia Commonwealth University, USA Rainer Geob - University of Würzburg, Germany Peter Goos - KU Leuven, Belgium Scott Grimshaw - Brigham Young University, USA David Han - University of Texas, San Antonio, USA Lynne Hare -Statistical Strategies, LLC, USA Alejandro Heredia-Langner- Pacific Northwest National Laboratory, USA Mingxiao Jiang - Medtronic Plc., USA Bradley Jones - Adsurgo, USA Allison Jones-Farmer - Miami University, USA Ron Kenett - KPA Group Caleb King - JMP Division of SAS, USA Sven Knoth - Helmut Schmidt University, Germany Scott Kowalski - Minitab, USA Murat Kulahci - Technical University of Denmark Zhonghua Li - Nankai University, China Lu Lu - University of South Florida, USA James Lucas - James M. Lucas & Associates, USA Julia C. O'Neil - Direxa Consulting LLC, USA Rong Pan - Arizona State University, USA Marcus B. Perry - The University of Alabama Peihua Qiu - University of Florida, USA Mostafa Reisi - University of Florida, USA Timothy J. Robinson - University of Wyoming, USA Weijie Shen - Google, USA James R. Simpson - JK Analytics, USA Byran Smucker - Miami University, USA Ross Sparks - CSIRO, Australia Jonathan StallrichNorth Carolina State University, USA Nathaniel Stevens - University of Waterloo, Canada Murat Caner Testik - Hacettepe University, Turkey Douglas Timmer - University of Texas – Rio Grande Valley, USA Panagiotis Tsiamyrtzis - Poliecnico di Milano, Italy Arda Vanli - Florida State University, USA Alan Vazquez - Tecnologico de Monterrey, Mexico Joseph Voelkel - Rochester Institute of Technology, USA Kaibo Wang- Tsinghua University, China Richard Warr - Brigham Young University, USA Maria Weese - Miami University, USA Christian H. Weiss - Helmut Schmidt University, Germany James D. Wilson - University of San Francisco, USA Sara R. Wilson - NASA, USA William H. Woodall - Virginia Tech, USA Min Xie - City University of Hong Kong Qiong Zhang - Clemson University, USA Inez Zwetsloot - City University of Hong Kong
Abstracting and indexing
Abstracted/Indexed in: CEABA; CSA -Engineered Materials Abstracts; Current Index to Statistics; Engineering Index/COMPENDEX; Food Science & Technology Abstracts; INSPEC; Materials Information; Science Citation Index-Expanded; and Scopus.
Open access
Quality Engineering is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
The American Society for Quality (ASQ) is a global organization with members in more than 130 countries. The society empowers quality professionals to connect with peers, advance their knowledge, and grow as thought leaders.
ASQ’s member-led communities help individuals connect online and in-person to other members who share a common interest, industry, or geographic location.
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