A Systematic Review of Seven Core Quality Control Tools and Their Applications in Manufacturing Process Improvement

Article Sidebar

Page Numbers: 795-813
Download PDF
Published: Sep 10, 2025
Digital Object Identifier: 10.58578/ijemt.v3i3.7174
Save this to:
Article Metrics:
Viewed: 167 times
Downloaded: 58 times
Article can trace at:

Author Fee:
Free Publication Fees for Foreign Researchers (0.00)
Check for article on SINTA:

We cordially invite qualified professionals to join LYAS Publisher as Editors or Reviewers. Your expertise will contribute significantly to maintaining the quality of our publications. If you are interested, please complete the following form: Call for Editors & Reviewers

Connected Papers:
Connected Papers

Please feel free to contact us if you need more information about the submission process or have any further questions.

Authors:
Alfred Ayo Ayenigba1*, David Adebisi Afariogun2, Oluwaseun Ayomiposi Aina3
Copyright :

Authors retain copyright and grant the journal right of first publication.


Main Article Content

Alfred Ayo Ayenigba
Ajayi Crowther University, Oyo, Oyo State, Nigeria
David Adebisi Afariogun
Ajayi Crowther University, Oyo, Oyo State, Nigeria
Oluwaseun Ayomiposi Aina
Ajayi Crowther University, Oyo, Oyo State, Nigeria

Abstract

This paper provides a comprehensive analysis of the seven basic quality control tools and their applications in addressing problems within manufacturing industries. The tools examined include cause-and-effect diagrams, check sheets, control charts, histograms, Pareto charts, scatter diagrams, and flowcharts. Each tool is discussed in detail, focusing on its purpose, theoretical foundations, and practical applications in quality management. The study emphasizes how these tools support systematic identification, analysis, and resolution of production challenges, thereby improving process efficiency, reducing defects, and enhancing overall product quality. By demonstrating their versatility and effectiveness, the paper highlights the relevance of these tools as essential components of continuous improvement strategies in modern manufacturing.

Keywords:
Share Article:

Citation Metrics:

 Scopus



Downloads

Download data is not yet available.

Article Details

How to Cite
Ayenigba, A. A., Afariogun, D. A., & Aina, O. A. (2025). A Systematic Review of Seven Core Quality Control Tools and Their Applications in Manufacturing Process Improvement. International Journal of Education, Management, and Technology, 3(3), 795-813. https://doi.org/10.58578/ijemt.v3i3.7174

Creative Commons License
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

References

American Society for Quality. (2024). Cause and effect diagram. Retrieved August 14, 2025, from https://asq.org/quality-resources/fishbone

Al-Hadeethi, H. M. (2015). Application of Pareto diagram in process control. Journal of Quality and Process Improvement, 8(2), 45–52.

Ayenigba, A.A. and Ajao, O. M. Application of Statistical Quality Control in Monitoring the Production and Marketing Processof Sachet Water at Ajayi Crowther Water Factory, Oyo, Nigeria. Ajayi Crowther J. Pure Appl. Sci. 2024, 4(1), pp. 25-36. | doi:https://doi.org/10.56534/acjpas.2025.04.01.25

Ayenigba, A. A. (2025). Statistical Quality Control as a Tool for Monitoring and Improving Dimensional Accuracy in Soap Manufacturing. Mikailalsys Journal of Mathematics and Statistics, 3(3), 619-631. https://doi.org/10.58578/mjms.v3i3.6431

Bambharoliya, T. R. (2015). Using quality tools to reduce product rejection rates in a small manufacturing company. Journal of Manufacturing Processes, 20(3), 45-50.

Besterfield, D. H. (2013). Quality control (8th ed.). Pearson Education.

Domtar. (2021). 8 Steps of the Paper Making Process. Retrieved from https://www.domtar.com/blog-posts/8-steps-of-the-paper-making-process/

Chaudhuri, P., Das, S., and Roy, A. (2019). Application of histograms for data analysis in manufacturing processes. International Journal of Advanced Manufacturing Technology, 104(5), 1237-1245.

DeVor, R. E. (2017). Statistical quality design and control. Prentice Hall.

Frayman, H. (2002). Foundations of quality management: Concepts and applications. Wiley.

Grima, P., García-Díez, S., and Tort-Martorell, X. (2021). Use of Ishikawa diagrams in defect analysis of circuit board assemblies. Quality Engineering, 33(1), 1-11.

Hu, Z., Li, Y., and Wang, J. (2020). Control charts in service quality monitoring: A case study. Service Science, 12(2), 87-95.

Ishikawa, K. (1990). Introduction to quality control. Productivity Press.

Jones, A. B. (2000). Analysis of defective values in manufacturing processes: A case study on p-chart construction. Journal of Statistical Process Control, 15(3), 429–432.

Montgomery, D. C. (2017). Introduction to statistical quality control (8th ed.). Wiley.

Muhammad, I. (2015). DMAIC framework implementation in fan production: A case study using Ishikawa's tools. Industrial Engineering Journal, 47(4), 30-37.

Mukherjee, P. N. (2012). Total quality management. PHI Learning Pvt. Ltd.

Soković, M., Pavletić, D., and Krulcic, E. (2018). Pareto analysis for problem-solving in quality improvement. Journal of Industrial Engineering and Management, 11(1), 34-46.


Find the perfect home for your research! If this journal isn't the right fit, don't worry—we offer a wide range of journals covering diverse fields of study. Explore our other journals to discover the ideal platform for your work and maximize its impact. Browse now and take the next step in publishing your research:

| HOME | Yasin | AlSys | Anwarul | Masaliq | Arzusin | Tsaqofah | Ahkam | AlDyas | Mikailalsys | Edumalsys | Alsystech | AJSTEA | AJECEE | AJISD | IJHESS | IJEMT | IJECS | MJMS | MJAEI | AMJSAI | AJBMBR | AJSTM | AJCMPR | AJMSPHR | KIJST | KIJEIT | KIJAHRS |