An EWMA control chart for the exponential distribution using repetitive sampling plan

• Autorzy: Azam M. , Aslam M. , Jun C. -H.

Identyfikatory

DOI

10.5277/ord170201

• Języki publikacji: EN

Abstrakty

EN

A new EWMA control chart has been proposed under repetitive sampling when a quantitative characteristic follows the exponential distribution. The properties of the proposed chart, including the average run lengths has been is compared with two existing control charts with the help of simulated data. An application of the proposed chart hs been illustrated using a healthcare data set.

Słowa kluczowe

EN

control chart; EWMA statistic; exponential distribution; normal distribution; average run length

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2017
• Tom: Vol. 27, No. 2
• Strony: 5--19
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

Azam M.

• Department of Statistics and Computer Sciences, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan

autor

Aslam M.

• Department of Statistics, Faculty of Sciences, King Abdulaziz University, Jeddah 21551, Saudi Arabia

autor

Jun C. -H.

• Department of Industrial and Management Engineering, POSTECH, Pohang 790-784, Republic of Korea

Bibliografia

• [1] ROBERTS S., Control chart tests based on geometric moving averages, Technometrics, 1959, 1 (3), 239–250.
• [2] LUCAS J.M., SACCUCCI M.S., Exponentially weighted moving average control schemes: properties and enhancements, Technometrics, 1990, 32 (1), 1–12.
• [3] LIU J.Y., XIE M., GOH T.N., CHAN L.Y., A study of EWMA chart with transformed exponential data, International Journal of Production Research, 2007, 45 (3), 743–763.
• [4] AL-REFAIE A., Evaluating measurement and process capabilities using tabular algorithm procedure with three quality measures, Transactions of the Institute of Measurement and Control, 2012, 34 (5), 604–614.
• [5] AVINADAV T., PERLMAN Y., CHENG T., Economic design of control charts for monitoring batch manufacturing processes, Int. J. Comp. Int. Manuf., 2016, 29 (2), 212–221.
• [6] MURTHY S., RAMBABU Y., Design and application of economical process control charts, Defence Sci. J., 2013, 47 (1), 45–53.
• [7] SANTIAGO E., SMITH J., Control charts based on the exponential distribution. Adapting runs rules for the t-chart, Quality Eng., 2013, 25 (2), 85–96.
• [8] NELSON L.S., A control chart for parts-per-million nonconforming items, J. Qual. Techn., 1994, 26 (3), 239–240.
• [9] ASLAM M., YEN C.H., CHANG C.H., JUN C.H., Multiple dependent state variable sampling plans with process loss consideration, Int. J. Adv. Manuf. Techn., 2014, 71 (5–8), 1337–1343.
• [10] SHERMAN R.E., Design and evaluation of a repetitive group sampling plan, Technometrics, 1965, 7 (1), 11–21.
• [11] ASLAM M., AZAM M., JUN C.-H., A new exponentially weighted moving average sign chart using repetitive sampling, J. Proc. Control, 2014, 24 (7), 1149–1153.
• [12] AHMAD L., ASLAM M. , JUN C.-H.,Designing of X-bar control charts based on process capability index using repetitive sampling, Transactions of the Institute of Measurement and Control, 2014, 36 (3), 367–374.
• [13] ASLAM M., AZAM M., JUN C.-H., New attributes and variables control charts under repetitive sampling, Ind. Eng. Manage. Syst., 2014. 13 (1), 101–106.
• [14] ASLAM M., KHAN M., AZAM M., JUN C.-H., Designing of a new monitoring t-chart using repetitive sampling, Inf. Sci., 2014, 269, 210–216.
• [15] SOHN H., CZARNECKI J.A., FARRAR C.R., Structural health monitoring using statistical process control, J. Struct. Eng., 2000. 126 (11), 1356–1363.
• [16] DUCLOS A., VOIRIN N., The p-control chart: a tool for care improvement, Int. J. Qual. Health Care, 2010, 22 (5), 402–407.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).