The second battle of mobile bay — Using SPC to control the quality of water monitoring

A review of non‐standard applications of statistical process control (SPC) charts

“…It is interesting to note that healthcare applications represent the second largest group with approximately 31 per cent of reported applications. The Paul and Barnett (1995): monitoring chemical measuring systems Hansen et al (1996): monitoring early detection of feed water heater leaks Kegel (1996): monitoring the maintenance process in a flow calibration laboratory Maul et al (1996): monitoring a gas metal arc welding process Jennings and Drake (1997): monitoring machine tool performance parameters Zimmerman et al (1996): monitoring the quality of water Cook et al (1997): monitoring welding processes Hayes et al (1997): monitoring hygiene performance measurement in food manufacture Katter et al (1998): setting up a predictive maintenance plan Maurer et al (1998): monitoring environmental variables Ipek et al (1999): monitoring concentrations in mineral processing Jun and Suh (1999): monitoring automatic detection of tool breakage in NC milling processes Nijhuis et al (1999): monitoring a chromatographic process Ben-Daya and Rahim (2000): setting up a preventive maintenance plan Cassady et al (2000): setting up a preventive maintenance plan Health care (31%) Hand et al (1994): detecting variations in outcome of pneumonia patients Gentleman et al (1994): monitoring the performance of an HIV test Chesher and Burnett (1996): monitoring the long-term performance of a clinical chemistry laboratory Piccirillo (1996): comparing patient satisfaction with the visit to an academic otolaryngology office before and after quality improvement efforts Wardell and Candia (1996): monitoring customer satisfaction in a major hospital Boggs et al (1998): monitoring peak expiratory flow rate in asthma patients Clark et al (1998): monitoring trends in trauma mortality Vitez and Macrio (1998): monitoring the effect of performance improvement in an anaesthesia department Konrad et al (1998): determining the effects of introduction of a new monitoring system for fluid absorption Kahn et al (1996): detecting problems in chronic diseases Green (1999): monitoring the process of out patient service delivery General service sector (17%)…”

“…Surveys/questionnaires 9% Piccirillo (1996), Wardell and Candia (1996) and Jensen and Markland (1996): data from questionnaires used to construct the control charts 3. Real processes 80% Implementations (9%): collecting data from real processes Boggs et al (1998), Katter et al (1998), Hong et al (1999) Studies (71%): based on data from real processes Gentleman et al (1994), Hand et al (1994), Sulek et al (1995), Paul and Barnett (1995), Anderson and Dian (1996), Atienza et al (1997), Cartwright and Hogg (1996), Jennings and Drake (1997), Maul et al (1996), Chesher and Burnett (1996), Hansen et al (1996), Hill (1996), Kegel (1996), Zimmerman et al (1996), Cook et al (1997), Hayes et al (1997), Clark et al (1998), Vitez and Macrio (1998), Konrad et al (1998), Green (1999), Kahn et al (1996), Koksalan et al (1999), Maurer et al (1998), Ipek et al (1999), Jun and Suh (1999) Gardiner and Mitra (1994), Hand et al (1994), Konrad et al (1998), Sulek et al (1995), Paul and Barnett (1995), Maul et al (1996), Piccirillo (1996), Cartwright and Hogg (1996),…”

“…Objective/purpose Articles Monitoring 71% With Shewhart control charts (57%) Hand et al (1994), Gentlemen et al (1994, Sulek et al (1995), Paul and Barnett (1995), Cartwright and Hogg (1996), Hansen et al (1996), Kegel (1996), Maul et al (1996), Zimmerman et al (1996), Chesher and Burnett (1996) With more advanced charts/techniques (14%) Anderson and Dian (1996), Jennings and Drake (1997), Hayes et al (1997), Jun and Suh (1999), Nijhuis et al (1999) Planning 11% Gardiner and Mitra (1994), Katter et al (1998), Cassady et al (2000), Ben-Daya and Rahim (2000) Evaluating 9% Piccirillo (1996), Wardell and Candia (1996), Jensen and Markland (1996) Forecasting 9% Atienza et al (1996), Hill (1996), Koksalan et al (1999) could be argued to be an engineering application. Three studies (about 9 per cent of the total) are identified as statistical applications of control charts.…”

New control chart for monitoring and classification of environmental data

“…The development of techniques able to supervise dynamic systems and thus to detect problems or anomalies, such as pollution, is of great interest. The tools provided by the Statistical Process Control theory, and notably the control charts (see Montgomery () for an overview), are well suited to treat this type of issues and are often used for water‐quality monitoring (Lee et al , ; Maurer et al , ; Zimmerman et al , ).…”

Um Estudo para a Aplicação de Gráficos de Controle Estatístico de Processo em Indicadores de Qualidade da Água Potável

“…O Controle Estatístico do Processo (CEP) possibilita monitorar as características de qualidade de interesse, assegurando sua manutenção dentro de limites preestabelecidos e indicando quando adotar ações de no monitoramento da qualidade da água (Zimmerman et al, 1996;Worrall et Burt, 1999;Aizenchtadt et al, 2008).…”