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Please note that this journal only publishes manuscripts in English.
Journal of Quality Technology (JQT) seeks to publish research that applies innovative thinking and develops cutting-edge analytical methods to address real problems related to Quality Technology.
Quality Technology emphasizes the application of data analytics to solve problems related to quality in industry, government, and society. The primary objective of JQT since its founding in 1969 is to provide the quality professional with innovative methodological tools to solve problems related to quality. The “quality” of a process or product relates to the capability of satisfying expressed and unexpressed customer needs. The “technology” that generates process and product data as well as the “technology” related to analytical methods that support quality improvement are evolving at a rapid pace. Technological advances provide many opportunities for innovative solutions. Thus, the main mission of the papers in JQT is to provide these innovative methodologies to the quality community.
JQT publishes the following types of papers.
- Regular Research: Regular research papers develop, evaluate, and present innovative analytical solutions to real industry, government, and societal challenges in support of product and process quality. Expository, review, and tutorial papers written with the goal of advancing methodological practice in quality technology are also acceptable.
- Case Study: Case Study papers illustrate a complex problem, use real data, and demonstrate the innovative application of methodologies to solve or bring new insight towards a solution related to quality.
- Software: Software Papers present a detailed description of a new computer code package that supports quality improvement. Survey papers that present a critical review of existing software related to quality improvement will also be considered.
For more details on each type of paper, please read the
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Associated journals
Quality Engineering
Quality Engineering publishes research on the analysis, design, quality control and optimization of reliable and robust innovative engineering processes.
Quality Management Journal
Publishes empirical and theoretical articles, including case studies. The Quality Management Journal seeks articles that inform research and practice.
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