Title: Short-run univariate quality control approaches

Authors: Koh Chin Kok; Chin Jeng Feng; Shahrul Kamaruddin

Addresses: School of Mechanical Engineering, Universiti Sains Malaysia, Penang, Malaysia ' School of Mechanical Engineering, Universiti Sains Malaysia, Penang, Malaysia ' Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia

Abstract: Short-run control charts are used in situations where limited or no data exist about the process, and conventional statistical process control (SPC) charts are considered ineffective for estimating parameters, such as control limits, because they cannot be established in most cases. This study presents a contemporary review on developing various short-run univariate quality control approaches. Considerable literature is systematically collected on the basis of content analysis. Techniques are differentiated on the basis of repetitive and non-repetitive processes. Subsequently, the principles, data sample collection, performance criteria, robustness and applications of quality control approaches are reviewed.

Keywords: statistical process control; SPC; short-run; univariate; control chart.

DOI: 10.1504/IJPQM.2020.111672

International Journal of Productivity and Quality Management, 2020 Vol.31 No.4, pp.483 - 507

Received: 08 Dec 2018
Accepted: 23 Jun 2019
Published online: 09 Dec 2020 *

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