Advancing process monitoring: A distribution-free control framework for operation processes

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Authors: Zsolt Tibor Kosztyán, Andrew MacClever, Zahid Khan, Csaba Hegedűs, Aamir Saghir, Tibor Csizmadia, Attila Imre Katona
Cited by: 1
References: 69

Abstract

Statistical process control and control charts are essential tools for monitoring and controlling production processes across various sectors, including healthcare, finance, software development, and education. Despite the prevalence of operation processes (OPs) in all economic fields, there is no dedicated control chart to monitor them. This paper presents a new OP control chart and its associated fitting procedure. The proposed method is illustrated using a real-life OP. The performance of the control chart is also investigated under nonnormality, and several distribution-free chart statistics are compared to identify the most effective design. Practical recommendations are provided to guide decision makers in selecting appropriate control charts for OPs.

Fields of Study & Subjects

Advanced Statistical Process Monitoring Fault Detection and Control Systems Advanced Control Systems Optimization

Publication details

Journal / source
Computers in Industry
Publisher
Elsevier BV
Volume
177
Pages
104449–104449
Publication date
20 February 2026
Language
EN