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Autor
Azam Muhammad (University of Veterinary and Animal Sciences, Pakistan), Aslam Muhammad (King Abdulaziz University (KAU), Jeddah, Saudi Arabia), Jun Chi-Hyuck (POSTECH, Pohang, Republic of Korea)
Tytuł
An EWMA Control Chart for the Exponential Distribution Using Repetitive Sampling
Źródło
Operations Research and Decisions, 2017, vol. 27, no. 2, s. 5-19, rys., tab., bibliogr. 16 poz.
Słowa kluczowe
Karty kontrolne, Rozkłady normalne, Badania porównawcze, Opieka zdrowotna
Control charts, Normal distribution, Comparative examination, Health care
Uwagi
summ., This article was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah. The author, Muhammad Aslam, therefore, acknowledges with thanks the technical and financial support of the DSR
Abstrakt
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. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka Szkoły Głównej Handlowej w Warszawie
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Pełny tekst
Pokaż
Bibliografia
Pokaż
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  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.
Cytowane przez
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ISSN
2081-8858
Język
eng
URI / DOI
http://dx.doi.org/10.5277/ord170201
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