Journal of Quality Technology

Journal of Quality Technology
Title	Journal of Quality Technology
Discipline	Quality control; industrial statistics
Abbreviation	JQT
Publisher	American Society for Quality
Country	United States
Frequency	Quarterly
History	1969–present

Journal of Quality Technology is a peer-reviewed periodical dedicated to statistical methods and applications in quality and process improvement. The journal serves practitioners and researchers affiliated with institutions such as American Society for Quality, Georgia Institute of Technology, Massachusetts Institute of Technology, Stanford University, University of Michigan, and University of California, Berkeley. It publishes research intersecting with organizations including General Electric, Toyota Motor Corporation, Ford Motor Company, Boeing, and Siemens AG.

History

The journal was established in 1969 amid methodological developments associated with figures like W. Edwards Deming, Walter A. Shewhart, Joseph Juran, Kaoru Ishikawa, and Armand V. Feigenbaum. Early volumes reflected influences from programs at Bell Labs, IBM, AT&T, and United States Department of Defense. Over successive decades it engaged with initiatives such as Six Sigma, Total Quality Management, Lean manufacturing, Statistical Process Control, and collaborations with universities including North Carolina State University, Purdue University, Texas A&M University, University of Wisconsin–Madison, and Carnegie Mellon University. Editorial stewardship has included scholars with affiliations at Columbia University, Yale University, Princeton University, Cornell University, and University of Illinois Urbana-Champaign.

Scope and Topics

The journal covers applied statistics and industrial applications linked to firms and agencies like Procter & Gamble, Johnson & Johnson, 3M, Honeywell International, and Lockheed Martin. Subject matter spans design and analysis of experiments influenced by work at Rockefeller University and Harvard University, reliability studies with roots in research at Sandia National Laboratories and Los Alamos National Laboratory, and measurement systems analysis as practiced by National Institute of Standards and Technology. Methodological emphases intersect with advances from E. L. Thorndike-era psychometrics at University of Pennsylvania, Bayesian computation developments associated with Princeton University, and machine learning innovations from Carnegie Mellon University and Google LLC.

Publication and Editorial Information

Published quarterly by the American Society for Quality, the journal's editorial board has featured editors and associate editors from institutions like University of Cambridge, University of Oxford, Imperial College London, ETH Zurich, and University of Toronto. Manuscript workflows and peer review practices mirror standards observed at Nature Publishing Group, Elsevier, Wiley-Blackwell, Springer Nature, and American Statistical Association. The journal accepts original research, case studies, and methodological tutorials relevant to practitioners at McKinsey & Company, Boston Consulting Group, Accenture, and public agencies including Food and Drug Administration and Environmental Protection Agency.

Abstracting and Indexing

The journal is abstracted and indexed in bibliographic services comparable to Web of Science, Scopus, EBSCOhost, ProQuest, and EconLit. Citation tracking aligns with systems developed by Clarivate Analytics and Elsevier and is discoverable through platforms such as Google Scholar, JSTOR, SSRN, and WorldCat. Libraries and consortia including OCLC and Libraries Australia catalogue holdings for universities including Stanford University Libraries, British Library, Library of Congress, National Library of Medicine, and Bibliothèque nationale de France.

Impact and Reception

The journal's influence is reflected in citation practices within research at MIT Sloan School of Management, Wharton School, Kellogg School of Management, Sloan Kettering, and technical reports from NASA. Its articles inform industrial practice at Samsung Electronics, Honda Motor Company, Volkswagen Group, Nissan Motor Co., and regulatory guidance from International Organization for Standardization. Recognition of contributors includes awards and honors affiliated with institutions such as American Statistical Association, Institute of Mathematical Statistics, Royal Statistical Society, National Academy of Engineering, and National Academy of Sciences.

Notable Articles and Contributions

Selected influential works published in the journal have advanced topics pioneered by researchers associated with R.A. Fisher-derived experimental design, contributions resonating with the work of George Box, Bradley Efron, C.R. Rao, John Tukey, and Peter J. Huber. Case studies impacting manufacturers like General Motors and Chrysler have been cited alongside methodological innovations later incorporated into software by SAS Institute, R Core Team, The Python Software Foundation, and MATLAB developers at MathWorks. Cross-citations connect to seminal texts and projects at Bell Labs Research, Los Alamos National Laboratory, RAND Corporation, Brookings Institution, and multinational collaborations with World Health Organization and Food and Agriculture Organization of the United Nations.

Category:Quality control journals Category:Statistical journals Category:Publications established in 1969