Effect of sample size on the performance of Shewhart control charts

Haridy, Salah; Maged, Ahmed; Kaytbay, Saleh; Araby, Sherif

doi:10.1007/s00170-016-9412-8

Cited by 25 publications

(16 citation statements)

References 22 publications

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“…However, as Siddall (1983) pointed out, if there is uncertainty about a random variable except for its bounds, then uniform distribution might be an excellent option to represent that variable. Many researchers designed control charts assuming that the process shift follows uniform distribution ( Castagliola, Celano, & Psarakis, 2011 ; Domangue and Patch, 1991 , Sparks, 2000 ), while others used beta distribution ( Ou, Wu, & Goh, 2011 ) and Rayleigh distribution (Wu, Shamsuzzaman& Pan, 2004; Haridy, Maged, Kaytbay, & Araby, 2017 ) to describe the process shift.…”

Section: Comparative Studiesmentioning

confidence: 99%

Monitoring scheme for early detection of coronavirus and other respiratory virus outbreaks

Haridy

Maged

Baker

et al. 2021

Computers & Industrial Engineering

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In December 2019, an outbreak of pneumonia caused by a novel coronavirus (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) began in Wuhan, China. SARS-CoV-2 exhibited efficient person-to-person transmission of what became labeled as COVID-19. It has spread worldwide with over 83,000,000 infected cases and more than 1,800,000 deaths to date (December 31, 2020). This research proposes a statistical monitoring scheme in which an optimized np control chart is utilized by sentinel metropolitan airports worldwide for early detection of coronavirus and other respiratory virus outbreaks. The sample size of this chart is optimized to ensure the best overall performance for detecting a wide range of shifts in the infection rate, based on the available resources, such as the inspection rate and the allowable false alarm rate. The effectiveness of the proposed optimized np chart is compared with that of the traditional np chart with a predetermined sample size under both sampling inspection and 100% inspection. For a variety of scenarios including a real case, the optimized np control chart is found to substantially outperform its traditional counterpart in terms of the average number of infections. Therefore, this control chart has potential to be an effective tool for early detection of respiratory virus outbreaks, promoting early outbreak investigation and mitigation.

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Section: Comparative Studiesmentioning

confidence: 99%

Monitoring scheme for early detection of coronavirus and other respiratory virus outbreaks

Haridy

Maged

Baker

et al. 2021

Computers & Industrial Engineering

Self Cite

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“…The Shewhart control chart [13,14] is mainly used for quality control of industrial products, also being called a quality control chart. It is a graphical method that applies sample statistical principles to product quality control.…”

Section: Diagnosis Strategy For Subhealth Condition 21 Fundamental Tmentioning

confidence: 99%

Research on Subhealth Diagnosis Method for Resistance of Urban Rail Transit Door System

Wei¹,

Xu²,

Chen³

et al. 2020

Urban Rail Transit

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The rail vehicle door system is one of the key components of rail vehicles. Its failure rate accounts for more than 30% of vehicle failures. By analyzing early warnings provided by subhealth data from the door system, the efficiency and reliability of their health maintenance can be effectively improved and stable operation of the door system can also be guaranteed. In this paper, early-stage resistance changes in the subhealth state of rail vehicle door systems are considered as the research object. Firstly, the distribution rules for the motor parameters are studied, and the time-domain and normal operating envelope features of the operating motor are extracted. Secondly, subhealth conditions with different resistances are simulated using a test rig, and the experimental data are applied to summarize the rules. According to the subhealth types and the distribution of features, diagnostic rules for subhealth are formulated. To check the possibility of fault diagnosis, a verification using running rail vehicle door system data is carried out in MATLAB. The results reveal that the misdiagnosis rate of resistance subhealth is 0% while the rate of missed diagnoses is 2%. Meanwhile, the diagnostic process based on the established rules is relatively efficient. This method is suitable for application for resistance subhealth diagnosis of urban rail vehicle door systems.

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“…ajustes no processo e tomada de decisão sobre o processo. BHOTE;1987;MUJTABA;FELDT;PETERSEN, 2011;MAHANTI;EVANS, 2012 AHMED;KHAN;GHOSH, 2012;LIM e ANTONY, 2013;SHARMA;KHARUB, 2014;HARIDY, 2017 TOLEDO;et.al., 2017 3.11 Estimativa correta dos limites de controle BHOTE;1987;ANTONY, 2014;SHARMA;KHARUB, 2014HARIDY, 2017TOLEDO;et.al., 2017. 3.12 Cálculo e análise da capacidade do processo BHOTE;1987;MUJTABA;FELDT;PETERSEN, 2011;AHMED;KHAN;GHOSH, 2012;LIM e ANTONY, 2013;SHARMA;KHARUB;TOLEDO;et.al., 2017.…”

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Os fatores que devem ser considerados para uma efetiva implantação do controle estatístico de processo (CEP): uma revisão de literatura

Soriano¹,

Oprime²,

Lizarelli³

2020

GEPROS

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O Controle Estatístico de Processo (CEP) corresponde a um conjunto de ferramentas estatísticas que visam à melhoria e estabilidade dos padrões da qualidade e é amplamente utilizado pelas como suporte aos programas de qualidade. Ao longo de mais de 50 anos, diversos autores exploraram o assunto apresentando Fatores Críticos para o Sucesso (FCS) para a sua implantação nas indústrias. Contudo, não se encontra na literatura trabalhos que os reúnam e os classifiquem de acordo com dimensões (estatísticas, metodológicas e gerenciais) e níveis de decisão (Estratégico, Tático e Operacional). Esta revisão de literatura é resultado de uma busca aprofundada a respeito dos FCS em trabalhos encontrados nas principais bases de dados disponíveis. Foram identificados e estão listados neste trabalho 44 FCS que devem ser observados para a efetiva implantação do CEP e que possibilitam aos gestores direcionarem seus esforços e recursos. Verifica-se a importância e a carência de estudos que mostrem, efetivamente, como os níveis de decisão e as dimensões interferem no resultado do programa e de que forma os fatores podem corroborar para o sucesso do CEP.

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Effect of sample size on the performance of Shewhart control charts

Cited by 25 publications

References 22 publications

Monitoring scheme for early detection of coronavirus and other respiratory virus outbreaks

Monitoring scheme for early detection of coronavirus and other respiratory virus outbreaks

Research on Subhealth Diagnosis Method for Resistance of Urban Rail Transit Door System

Os fatores que devem ser considerados para uma efetiva implantação do controle estatístico de processo (CEP): uma revisão de literatura

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