The application of multivariate statistical process monitoring in non-industrial processes

ABSTRACT

Statistical process monitoring (SPM) techniques have been widely used in industry for many decades in order to assess the process stability, as well as the final product quality. Interestingly, SPM techniques have gained popularity in many non-industrial fields providing even more opportunities for research. In this paper, we consider the case of multivariate statistical process monitoring (MSPM) and perform an extensive literature review on MSPM applications in non-industrial fields. More specifically, the aim of this paper is to point out the main non-industrial application fields of MSPM that have appeared in the literature, discuss the main challenges that arise upon applying MSPM outside the industrial environment and provide some thoughts for the future of MSPM outside industry.

KEYWORDS:

• Multivariate statistical process monitoring
• MSPC
• hotelling control charts
• control charts
• MEWMA
• MCUSUM
• non-industrial process monitoring

Acknowledgements

We would like to thank the editor and the reviewers for their constructive comments and their valuable insight in our paper, which led to its significant improvement.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 Let be independent normal random variables with a common variance and zero mean, then .

Additional information

Funding

The authors are supported by the Greek General Secretariat for Research and Technology research funding action ‘ARISTEIA II’.