Run rules schemes for statistical process monitoring: a literature review

ABSTRACT

Different control charts are developed for monitoring various types of quality characteristics in the area of Statistical Process Monitoring (SPM). Moreover, new techniques are proposed to improve the performances of the suggested control charts. One of the popular techniques for this purpose is run rules. These rules increase the sensitivity of control charts in detecting different shift sizes, especially small and medium shifts. In this paper, a content analysis (based on 100 papers in this area from 1955 to 2020) is conducted to (i) classify the articles that employed run rules in SPM, (ii) recognize the research gaps and (iii) provide guidance to motivate future research in this area.

KEYWORDS:

• Statistical process monitoring (SPM)
• quality characteristic
• control chart
• run rules

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No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Notes on contributors

Zahra Jalilibal

Zahra Jalilibal is a Phd studunet of Industrial Engineering at Shahed University in Iran. She holds BS in Math from Amirkabir University of technology and MS in Industrial Engineering in Tehran University.

Mohammad Hassan Ahmadi Karavigh

Muhammadhassan Ahmadi Karavigh holds his MS degree in Industrial Engineering at Shahed University in Iran.

Amirhossein Amiri

Amirhossein Amiri is an Associate Professor at Shahed University in Iran. He holds a BS, MS, and PhD in Industrial Engineering from Khajeh Nasir University of Technology, Iran University of Science and Technology, and Tarbiat Modares University in Iran, respectively. He is now the director of Post-graduate Education at Shahed University in Iran. His research interests are statistical process monitoring, profile monitoring, and change point estimation. He has published many papers in the area of statistical process control in high quality international journals such as Quality and Reliability Engineering International, Communications in Statistics, Computers & Industrial Engineering, Journal of Statistical Computation and Simulation, Soft Computing and so on. He has also published a book with John Wiley and Sons in 2011 entitled Statistical Analysis of Profile Monitoring.

Michael B. C. Khoo

Michael B.C. Khoo is a professor in the School of Mathematical Sciences, Universiti Sains Malaysia. He specializes in Statistical Quality Control. He has published numerous papers in International journals indexed in the Web of Science (WoS) database. He has also reviewed numerous papers from journals indexed in the WoS database. He is a member of the American Society for Quality.