Process capability indices for profiles: a systematic literature review
DOI:
https://doi.org/10.15675/gepros.v16i1.2723Palavras-chave:
Process capability indices, Profiles, Functional data.Resumo
Purpose – This paper aims to provide a Systematic Literature Review on process capability indices for profile data.Design/methodology/approach – A Systematic Literature Review (SLR) was carried out, where the Web of Science, ProQuest and Scopus databases were searched, and articles from accessible academic journals, written in English and published until May 2020, were specified.
Findings – The findings show that this area of research is relatively recent, with publications only found over the last decade. Furthermore, most process capability indices have been developed for simple linear profiles. Future studies may investigate more complex profiles considering the autocorrelation and non-normal condition of profile data.
Originality/value – This study contributes to the academic community in the sense that it maps the available literature on process capability indices for profile data, identifies the techniques and the profile types most studied, and indicates the gaps found in the literature on the subject, providing a direction for future studies.
Keywords - Process capability indices; Profiles; Functional data.
Referências
ABBASI GANJI, Zainab; SADEGHPOUR GILDEH, Bahram. Fuzzy process capability indices for simple linear profile. Journal of Applied Statistics, p. 1-23, 2019. DOI: https://doi.org/10.1080/02664763.2019.1704225
ALEVIZAKOS, Vasileios; KOUKOUVINOS, Christos; CASTAGLIOLA, Philippe. Process capability index for Poisson regression profile based on the Spmk index. Quality Engineering, [s. l.], p. 1–9, 2018. DOI: https://doi.org/10.1080/08982112.2018.1523426
ALEVIZAKOS, Vasileios; KOUKOUVINOS, Christos; LAPPA, Angeliki. Comparative study of the Cp and Spmk indices for logistic regression profile using different link functions. Quality Engineering, [s. l.], p. 1–10, 2018. DOI: https://doi.org/10.1080/08982112.2018.1523427
BOYLES, Russell A. Process capability with asymmetric tolerances. Communications in Statistics - Simulation and Computation, [s. l.], v. 23, n. 3, p. 615–635, 1994. DOI: https://doi.org/10.1080/03610919408813190
CASTAGLIOLA, Philippe; CASTELLANOS, José-Victor Garcia. Capability Indices Dedicated to the Two Quality Characteristics Case. Quality Technology & Quantitative Management, [s. l.], v. 2, n. 2, p. 201–220, 2005. DOI: https://doi.org/10.1080/16843703.2005.11673094
CHIANG, Jyun-You; LIO, Y. L.; TSAI, Tzong-Ru. MEWMA Control Chart and Process Capability Indices for Simple Linear Profiles with Within-profile Autocorrelation. Quality and Reliability Engineering International, [s. l.], v. 33, n. 5, p. 1083–1094, 2017. DOI: https://doi.org/10.1002/qre.2101
EBADI, Mohsen; AMIRI, Amirhossein. Evaluation of process capability in multivariate simple linear profiles. Elsevier, [s. l.], v. 19, n. 6, p. 1960–1968, 2012. DOI: https://doi.org/10.1016/j.scient.2012.09.010
EBADI, Mohsen; SHAHRIARI, Hamid. A process capability index for simple linear profile. The International Journal of Advanced Manufacturing Technology, [s. l.], v. 64, n. 5–8, p. 857–865, 2013. DOI: https://doi.org/10.1007/s00170-012-4066-7
GUEVARA, Rubén D.; VARGAS, José A. Evaluation of process capability in multivariate nonlinear profiles. Journal of Statistical Computation and Simulation, [s. l.], v. 86, n. 12, p. 2411–2428, 2016. DOI: https://doi.org/10.1080/00949655.2015.1112391
GUEVARA, Rubén D.; VARGAS, José A.; CASTAGLIOLA, Philippe. Evaluation of process capability in non-linear profiles using Hausdorff distance. Quality Technology & Quantitative Management, [s. l.], v. 13, n. 1, p. 1–15, 2016. DOI: https://doi.org/10.1080/16843703.2016.1139841
GUEVARA, Rubén Darío; VARGAS, José Alberto. Process Capability Analysis for NonLinear Profiles Using Depth Functions. Quality and Reliability Engineering International, [s. l.], v. 31, n. 3, p. 465–487, 2015. DOI: https://doi.org/10.1002/qre.1605
HOSSEINIFARD, S. Z.; ABBASI, B. Process Capability Analysis in Non Normal Linear Regression Profiles. Communications in Statistics - Simulation and Computation, [s. l.], v. 41, n. 10, p. 1761–1784, 2012. a. DOI: https://doi.org/10.1080/03610918.2011.611313
HOSSEINIFARD, Seyedeh Zahra; ABBASI, Babak. Evaluation of process capability indices of linear profiles. International Journal of Quality & Reliability Management, [s. l.], v. 29, n. 2, p. 162–176, 2012. b. DOI: https://doi.org/10.1108/02656711211199892
KARIMI GHARTEMANI, Mostafa; NOOROSSANA, R.; NIAKI, S. T. A. A New Approach in Capability Analysis of Processes Monitored by a Simple Linear Regression Profile. Quality and Reliability Engineering International, [s. l.], v. 32, n. 1, p. 209–221, 2014. DOI: https://doi.org/10.1002/qre.1741
KESHTELI, R. Nemati et al. Developing functional process capability indices for simple linear profile. Scientia Iranica, [s. l.], v. 21, n. 3, p. 1044–1050, 2014.
MALEKI, MR; AMIRI, A.; CASTAGLIOLA, P. An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme. Computers & Industrial Engineering, [s. l.], v. 126, p. 705–728, 2018. DOI: https://doi.org/10.1016/j.cie.2018.10.008
MONTGOMERY, Douglas C. Introdução ao Controle Estatístico da Qualidade. 7. ed. [s.l.]: LTC, 2016.
NEMATI KESHTELI, Ramezan et al. Functional Process Capability Indices for Circular Profile. Quality and Reliability Engineering International, [s. l.], v. 30, n. 5, p. 633–644, 2014. DOI: https://doi.org/10.1002/qre.1515
NIAVARANI, Mohammad R.; NOOROSSANA, Rassoul; ABBASI, Babak. Three New Multivariate Process Capability Indices. Communications in Statistics - Theory and Methods, [s. l.], v. 41, n. 2, p. 341–356, 2012. DOI: https://doi.org/10.1080/03610926.2010.526743
REZAYE ABBASI CHARKHI, Mina; AMINNAYERI, Majid; AMIRI, Amirhossein. Process Capability Indices for Logistic Regression Profile. Quality and Reliability Engineering International, [s. l.], v. 32, n. 5, p. 1655–1661, 2016. DOI: https://doi.org/10.1002/qre.1897
REZAYE ABBASI CHARKHIA, M.; AMINNAYERI, M.; AMIRI, A. Process Capability Index for Logistic Regression Profile Based on Spmk Index. International Journal of Engineering-Transactions B: Applications, [s. l.], v. 28, n. 8, p. 1186–1190, 2015.
WANG, Fu-Kwun. A Process Yield for Simple Linear Profiles. Quality Engineering, [s. l.], v. 26, n. 3, p. 311–318, 2014. a. DOI: https://doi.org/10.1080/08982112.2013.830739
WANG, Fu-Kwun. Measuring the Process Yield for Simple Linear Profiles with one-Sided Specification. Quality and Reliability Engineering International, [s. l.], v. 30, n. 8, p. 1145–1151, 2014. b. DOI: https://doi.org/10.1002/qre.1537
WANG, Fu-Kwun. Measuring the Process Yield for Circular Profiles. Quality and Reliability Engineering International, [s. l.], v. 31, n. 4, p. 579–588, 2015. DOI: https://doi.org/10.1002/qre.1614
WANG, Fu-Kwun. Process Yield Analysis for Nonlinear Profiles in the Presence of Gauge Measurement Errors. Quality and Reliability Engineering International, [s. l.], v. 32, n. 7, p. 2435–2442, 2016. a. DOI: https://doi.org/10.1002/qre.1946
WANG, Fu-Kwun; GUO, Yi-Cyuan. Measuring Process Yield for Nonlinear Profiles. Quality and Reliability Engineering International, [s. l.], v. 30, n. 8, p. 1333–1339, 2013. DOI: https://doi.org/10.1002/qre.1554
WANG, Fu-Kwun; TAMIRAT, Yeneneh. Process yield analysis for autocorrelation between linear profiles. Computers & Industrial Engineering, [s. l.], v. 71, p. 50–56, 2014. DOI: https://doi.org/10.1016/j.cie.2014.02.006
WANG, Fu-Kwun; TAMIRAT, Yeneneh. Process Yield Analysis for Linear Within-Profile Autocorrelation. Quality and Reliability Engineering International, [s. l.], v. 31, n. 6, p. 1053–1061, 2015. DOI: https://doi.org/10.1002/qre.1663
WANG, Fu-Kwun; TAMIRAT, Yeneneh. Process Yield for Multivariate Linear Profiles with One-sided Specification Limits. Quality and Reliability Engineering International, [s. l.], v. 32, n. 4, p. 1281–1293, 2016. DOI: https://doi.org/10.1002/qre.1834
WANG, Fu Kwun. Process yield analysis for multivariate linear profiles. Quality Technology and Quantitative Management, [s. l.], v. 13, n. 2, p. 124–138, 2016. b. DOI: https://doi.org/10.1080/16843703.2016.1169676
Downloads
Publicado
Como Citar
Edição
Seção
Licença
O(s) autor(es) do artigo autorizam a publicação do texto na revista e garantem que a contribuição é original e inédita, não estando em processo de avaliação em outra(s) revista(s). As opiniões, ideias e conceitos emitidos nos textos são de inteira responsabilidade do(s) autor(es), não sendo a revista responsável por tais conteúdos.
Os editores da revista reservam o direito de efetuar ajustes textuais e de adequação às normas da publicação, caso necessário.
Os autores mantêm os direitos autorais sobre o trabalho e concedem à revista o direito de primeira publicação, sendo o trabalho simultaneamente licenciado sob a Attribution 4.0 International (CC BY 4.0), o que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
Os autores têm autorização para firmar contratos adicionais, separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.
