Quality Engineering

Aims & Scope

Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed.

You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.2
2024	1.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.530

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	50

Journal Rank

Year	Value
2024	10976

Journal Citation Indicator

Year	Value
2024	345

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Model-Dependent Variance Inflation Factor Cutoff Values

  Citation: 912

  Authors: Trevor A., James G.

• A Comparative Study of Using Grey Relational Analysis in Multiple Attribute Decision Making Problems

  Citation: 242

  Authors: Hsin-Hung

• Quality 4.0—the challenging future of quality engineering

  Citation: 201

  Authors: Avigdor, Ron S.

• Quality Function Deployment: A Comprehensive Review of Its Concepts and Methods

  Citation: 171

  Authors: Lai-Kow, Ming-Lu

• Reliability Meets Big Data: Opportunities and Challenges

  Citation: 161

  Authors: William Q., Yili

• Space-filling designs for computer experiments: A review

  Citation: 160

  Authors: V. Roshan

• GAUGE CAPABILITY AND DESIGNED EXPERIMENTS. PART I: BASIC METHODS

  Citation: 158

  Authors: DOUGLAS C., GEORGE C.

• The Generally Weighted Moving Average Control Chart for Detecting Small Shifts in the Process Mean

  Citation: 147

  Authors: Shey‐Huei, Tse‐Chieh

• Nonparametric (distribution-free) control charts: An updated overview and some results

  Citation: 145

  Authors: S., M. A.

• THE EVOLUTION OF SIX SIGMA

  Citation: 145

  Authors: Gerald J., Necip, Roger

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