IDEAS home Printed from https://ideas.repec.org/a/bpj/ecqcon/v28y2013i2p16n9.html
   My bibliography  Save this article

Multivariate Process Capability Index: A Review and Some Results

Author

Listed:
  • Das Nandini

    (SQC & OR Unit, Indian Statistical Institute, 203 B T Road, Kolkata-700108, India)

  • Dwivedi Prem Saurav

    (SQC & OR Unit, Indian Statistical Institute, 203 B T Road, Kolkata-700108, India)

Abstract

Process capability is defined as inherent variability of a process which is running under chance cause of variation only. Process capability index is measuring the ability of a process to meet the product specification limit. Generally Cp and Cpk have been widely used as statistical tools to assess the manufacturing process performance. These indices provide numerical measures on process precision, process accuracy and process performance. The multivariate process capability indices, which are used for evaluation of processes with correlated quality characteristics are considered as new emerging research area. In this paper, we describe an approach of estimating multivariate process capability indices assuming multivariate g-and-h distribution and illustrate their performance using simulated and practical data set.

Suggested Citation

  • Das Nandini & Dwivedi Prem Saurav, 2013. "Multivariate Process Capability Index: A Review and Some Results," Stochastics and Quality Control, De Gruyter, vol. 28(2), pages 151-166, December.
    • Handle: RePEc:bpj:ecqcon:v:28:y:2013:i:2:p:16:n:9
    DOI: 10.1515/eqc-2013-0022
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/eqc-2013-0022
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/eqc-2013-0022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alan Veevers, 1998. "Viability and capability indexes for multiresponse processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 545-558.
    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. Wang, F. K. & Du, T. C. T., 2000. "Using principal component analysis in process performance for multivariate data," Omega, Elsevier, vol. 28(2), pages 185-194, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessandra Colombelli & Francesco Quatraro, 2014. "The persistence of firms' knowledge base: a quantile approach to Italian data," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(7), pages 585-610, October.
    2. Fotio, Herve Kaffo & Nchofoung, Tii N. & Asongu, Simplice A., 2022. "Financing renewable energy generation in SSA: Does financial integration matter?," Renewable Energy, Elsevier, vol. 201(P2), pages 47-59.
    3. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    4. Park, Seyoung & Lee, Eun Ryung, 2021. "Hypothesis testing of varying coefficients for regional quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 159(C).
    5. Kolodziej, Ingo W.K. & García-Gómez, Pilar, 2019. "Saved by retirement: Beyond the mean effect on mental health," Social Science & Medicine, Elsevier, vol. 225(C), pages 85-97.
    6. Kamil DYBCZAK & Kamil GALUSCAK, 2013. "Changes in the Czech Wage Structure: Does Immigration Matter?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(2), pages 108-128, May.
    7. Cummins, Joseph R., 2017. "Heterogeneous treatment effects in the low track: Revisiting the Kenyan primary school experiment," Economics of Education Review, Elsevier, vol. 56(C), pages 40-51.
    8. Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
    9. González, F. Javier Palencia & Tovar Reaños, Miguel & Labeaga Azcona, Jose Maria, 2023. "Hidden fuel poverty in Spain and Ireland. A comparative study of measuring and targeting," Papers WP765, Economic and Social Research Institute (ESRI).
    10. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2015. "Gender, style diversity, and their effect on fund performance," Research in International Business and Finance, Elsevier, vol. 35(C), pages 57-74.
    11. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    12. Salardi, Paola & Ñopo, Hugo R., 2009. "Gender and Racial Wage Gaps in Brazil 1996-2006: Evidence Using a Matching Comparisons Approach," IDB Publications (Working Papers) 1649, Inter-American Development Bank.
    13. Molyneux, Philip & Pancotto, Livia & Reghezza, Alessio & Rodriguez d'Acri, Costanza, 2022. "Interest rate risk and monetary policy normalisation in the euro area," Journal of International Money and Finance, Elsevier, vol. 124(C).
    14. Dakshina Garfield De Silva & Marina Gertsberg & Rachel Pownall, 2016. "Market Evolution, Bidding Strategies, and Survival of Art Dealers," Working Papers 138739557, Lancaster University Management School, Economics Department.
    15. Demetrescu, Matei & Hosseinkouchack, Mehdi & Rodrigues, Paulo M. M., 2023. "Tests of no cross-sectional error dependence in panel quantile regressions," Ruhr Economic Papers 1041, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Nicodemo, Catia & Raya, Josep Maria, 2012. "Change in the distribution of house prices across Spanish cities," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 739-748.
    17. Brown, Sarah & Gray, Daniel & Montagnoli, Alberto, 2019. "Credit supply shocks and household leverage: Evidence from the US banking deregulation," Journal of Financial Stability, Elsevier, vol. 43(C), pages 97-115.
    18. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    19. Boateng, Agyenim & Asongu, Simplice & Akamavi, Raphael & Tchamyou, Vanessa, 2018. "Information asymmetry and market power in the African banking industry," Journal of Multinational Financial Management, Elsevier, vol. 44(C), pages 69-83.
    20. Valeria Cirillo & Andrea Ricci, 2022. "Heterogeneity matters: temporary employment, productivity and wages in Italian firms," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 567-593, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:ecqcon:v:28:y:2013:i:2:p:16:n:9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.