Designing a Multi-Attribute Multi-Stage Risk-adjusted Control Chart

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Shojaei, Nastaran | 2013

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 44631 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Akhavan Niaki, Mohammad Taghi
Abstract:
Hospitals increasingly use control charts to monitor clinical processes and their outcomes. In medical context, control charts should have stable performance when different patients with different levels of risk enter the hospital. In order to monitor multi-attribute medical processes, we propose a new control chart with entities having different levels of risk. First, risk-adjusted multivariate cumulative sum control chart (RA-MCUSUM) is developed. Then, simulation experiences are performed to demonstrate the application and to evaluate RA-MCUSUM performance in terms of in-control average run length (ARL0) stability with the one of a standard MCUSUM chart.The results show that while the standard MCUSUM shows a sensitive performance, the RA-MCUSM has a robust performance when different entities with different levels of risk enter the system.Then we propose a new multi-attribute multi-stage control chart which is adjusted to the risk of entities. The performed simulation shows that the RA multistage multi-attribute also has robust performance when different patients with different level of risk enter the system
Keywords:
Quality Control ; Multi-Attribute Characteristics ; Multistage Process ; Health Care System ; Cusum Method

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