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KALİTE KONTROL ÇİZELGELERİNİN BİBLİYOMETRİK ANALİZİ

Yıl 2023, Cilt: 11 Sayı: 2, 263 - 282, 31.12.2023

Fatmanur Göçer Sinem Büyüksaatçı Kiriş

https://doi.org/10.52122/nisantasisbd.1256691

Öz

Bu çalışma, kalite kontrol çizelgeleri konusunda araştırma yönlerini belirlemek, araştırma sıcak noktalarını ve sonraki araştırmalar için yönelimleri izlemek için kalite kontrol çizelgelerinin bibliyometrik analizini değerlendirmektedir. Bu nedenle; kronolojik dağılım, ülke dağılımı, anahtar kelime birlikte kullanımı ve yazar birlikte kullanımı analizlerine dayanarak ve VOSviewer yazılımı kullanılarak 2002'den 2023'e kadar kalite kontrol çizelgeleri çalışmalarının bir özeti elde edilmiştir. Yayınlanmış toplam 2702 araştırma makalesi incelenmiştir. Bulgular, "mühendislik", "yönetim bilimleri ve istatistik" ve "malzeme bilimi ve otomasyon kontrol sistemleri" konularının kalite kontrol şeması araştırmalarında özellikle ilgi çekici olduğunu belirtmektedir. Ayrıca “istatistiksel süreç kontrol”, “ortalama çalışma uzunluğu” ve “kontrol çizelgeleri” anahtar kelimeleri atıf açısından son yıllarda keskin bir artış göstermiştir. Ayrıca William H. Woodall, Douglas C. Montgomery ve Matthew R Reynolds da en çok atıf yapılan yazarlar olarak belirlenmiştir. Bu çalışmada incelenen 76 ülke arasında sırasıyla 618, 485, 260, 202 ve 140 yayınla ABD, Çin, Pakistan, Suudi Arabistan ve Malezya'nın kalite kontrol çizelgeleri araştırmalarında en yüksek etkiye sahip olduğu bulunmuştur.

Anahtar Kelimeler

kalite control çizelgeleri bibliyometrik analiz ortak alıntı analizi

Kaynakça

  • Abdulghafour, A. B., Omran, S. H., Jafar, M. S., Mottar, M. M., & Hussein, O. H. (2021, August). Application of statistical control charts for monitoring the textile yarn quality. In Journal of Physics: Conference Series (Vol. 1973, No. 1, p. 012158). IOP Publishing.
  • Abtew, M. A., Kropi, S., Hong, Y., & Pu, L. (2018). Implementation of statistical process control (SPC) in the sewing section of garment industry for quality improvement. AUTEX Research Journal, 18(2), 160-172.
  • Alfatiyah, R., Bastuti, S., & Kurnia, D. (2020, July). Implementation of statistical quality control to reduce defects in Mabell Nugget products (case study at Pt. Petra Sejahtera Abadi). In IOP Conference Series: Materials Science and Engineering (Vol. 852, No. 1, p. 012107). IOP Publishing.
  • Aykroyd, R. G., Leiva, V., & Ruggeri, F. (2019). Recent developments of control charts, identification of big data sources and future trends of current research. Technological Forecasting and Social Change, 144, 221-232.
  • Anscombe, F. J., & Page, E. S. (1954). Sequential tests for binomial and exponential populations. Biometrika, 41(1-2), 252-253.
  • Bersimis, S., Psarakis, S., & Panaretos, J. (2007). Multivariate statistical process control charts: an overview. Quality and Reliability engineering international, 23(5), 517-543.
  • Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R., & Váncza, J. (2014). Design and management of manufacturing systems for production quality. Cirp Annals, 63(2), 773-796.
  • Crosier, R. B. (1988). Multivariate generalizations of cumulative sum quality-control schemes. Technometrics, 30(3), 291-303.
  • Das, A. (2013). Testing and statistical quality control in textile manufacturing. In Process control in textile manufacturing (pp. 41-78). Woodhead Publishing.
  • Duncan, A. J. (1956). The economic design of X charts used to maintain current control of a process. Journal of the American statistical association, 51(274), 228-242.
  • González Álvarez, R., Barrera García, A., Guerra Morffi, A. B., & Medina Mendieta, J. F. (2022). Stability assessment and process capability analysis in a food pasta company. Visión de futuro, 26(1), 231-251.
  • Halim Lim, S. A., Antony, J., Arshed, N., & Albliwi, S. (2017). A systematic review of statistical process control implementation in the food manufacturing industry. Total Quality Management & Business Excellence, 28(1-2), 176-189.
  • Harris, T. J., & Ross, W. H. (1991). Statistical process control procedures for correlated observations. The canadian journal of chemical engineering, 69(1), 48-57.
  • Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.
  • Hrvacic, I. (2018). Design and implementation of SPC systems in defense industry manufacturing process. Periodicals of Engineering and Natural Sciences (PEN), 6(1), 27-40.
  • Jalote, P., & Saxena, A. (2002). Optimum control limits for employing statistical process control in software process. IEEE Transactions on Software Engineering, 28(12), 1126-1134.
  • Kang, L., & Albin, S. L. (2000). On-line monitoring when the process yields a linear profile. Journal of quality Technology, 32(4), 418-426.
  • Kim, K. M. Mahmoud, and W. Woodall. 2003. On the monitoring of linear profiles. Journal of Quality Technology, 35(3), 317-28.
  • Koutras, M. V., Bersimis, S., & Maravelakis, P. (2007). Statistical process control using Shewhart control charts with supplementary runs rules. Methodology and Computing in Applied Probability, 9(2), 207-224.
  • Lee, J. M., Yoo, C., & Lee, I. B. (2004). Fault detection of batch processes using multiway kernel principal component analysis. Computers & chemical engineering, 28(9), 1837-1847.
  • Lim, S. A. H., Antony, J., & Albliwi, S. (2014). Statistical Process Control (SPC) in the food industry–A systematic review and future research agenda. Trends in food science & technology, 37(2), 137-151.
  • Lowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE transactions, 27(6), 800-810.
  • Lowry, C. A., Woodall, W. H., Champ, C. W., & Rigdon, S. E. (1992). A multivariate exponentially weighted moving average control chart. Technometrics, 34(1), 46-53.
  • Lucas, J. M., & Saccucci, M. S. (1990). Exponentially weighted moving average control schemes: properties and enhancements. Technometrics, 32(1), 1-12.
  • MacCarthy, B. L., & Wasusri, T. (2002). A review of non‐standard applications of statistical process control (SPC) charts. International Journal of Quality & Reliability Management, 19(3), 295-320.
  • Madanhire, I., & Mbohwa, C. (2016). Statistical Process Control (SPC) Application in a Manufacturing Firm to Improve Cost Effectiveness: Case study. In Int. Conf. Ind. Eng. Oper. Manag (pp. 2298-2305).
  • Mahmoud, M. A., & Woodall, W. H. (2004). Phase I analysis of linear profiles with calibration applications. Technometrics, 46(4), 380-391.
  • Mahmoud, M. A., Parker, P. A., Woodall, W. H., & Hawkins, D. M. (2007). A change point method for linear profile data. Quality and Reliability Engineering International, 23(2), 247-268.
  • Montgomery, D. C. (2007). Introduction to statistical quality control. John Wiley & Sons.
  • Montgomery, D. C. (2020). Introduction to statistical quality control. John Wiley & Sons.
  • Nasiri, M., & Darestani, S. A. (2016). A literature review investigation on quality control charts based on fuzzy logic. International Journal of Productivity and Quality Management, 18(4), 474-498.
  • Nichols, M. D., & Padgett, W. J. (2006). A bootstrap control chart for Weibull percentiles. Quality and reliability engineering international, 22(2), 141-151.
  • Pignatiello Jr, J. J., & Runger, G. C. (1990). Comparisons of multivariate CUSUM charts. Journal of quality technology, 22(3), 173-186.
  • Rai, B. K. (2008). Implementation of statistical process control in an Indian tea packaging company. International Journal of Business Excellence, 1(1-2), 160-174.
  • Ranjbari, M., Saidani, M., Esfandabadi, Z. S., Peng, W., Lam, S. S., Aghbashlo, M., ... & Tabatabaei, M. (2021). Two decades of research on waste management in the circular economy: Insights from bibliometric, text mining, and content analyses. Journal of Cleaner Production, 314, 128009.
  • Reynolds, M. R., Amin, R. W., Arnold, J. C., & Nachlas, J. A. (1988). Charts with variable sampling intervals. Technometrics, 30(2), 181-192.
  • Roberts, S. W. (2000). Control chart tests based on geometric moving averages. Technometrics, 42(1), 97-101.
  • Silpakob, K., Areepong, Y., Sukparungsee, S., & Sunthornwat, R. (2023). A New Modified EWMA Control Chart for Monitoring Processes Involving Autocorrelated Data. Intelligent Automation & Soft Computing, 36(1).
  • Suman, G., & Prajapati, D. (2018). Control chart applications in healthcare: a literature review. International Journal of Metrology and Quality Engineering, 9, 5.
  • Suryoputro, M. R., Sugarindra, M., & Erfaisalsyah, H. (2017, June). Quality Control System using Simple Implementation of Seven Tools for Batik Textile Manufacturing. In IOP Conference Series: Materials Science and Engineering (Vol. 215, No. 1, p. 012028). IOP Publishing.
  • Vadori, R. (2020). Quality control and standards in manufacturing of medical devices. In Metallic Biomaterials Processing and Medical Device Manufacturing (pp. 549-568). Woodhead Publishing
  • Williams, J. D., Woodall, W. H., & Birch, J. B. (2007). Statistical monitoring of nonlinear product and process quality profiles. Quality and Reliability Engineering International, 23(8), 925-941.
  • Woodall, W. H. (2006). The use of control charts in health-care and public-health surveillance. Journal of Quality Technology, 38(2), 89-104. Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality Technology, 31(4), 376-386.
  • Woodall, W. H., & Montgomery, D. C. (2014). Some current directions in the theory and application of statistical process monitoring. Journal of Quality Technology, 46(1), 78-94.
  • Zhao, X., Zuo, J., Wu, G., & Huang, C. (2019). A bibliometric review of green building research 2000–2016. Architectural Science Review, 62(1), 74-88.
  • Zou, C., Tsung, F., & Wang, Z. (2007). Monitoring general linear profiles using multivariate exponentially weighted moving average schemes. Technometrics, 49(4), 395-408.

A BIBLIOMETRIC ANALYSIS OF QUALITY CONTROL CHARTS

Yıl 2023, Cilt: 11 Sayı: 2, 263 - 282, 31.12.2023

Fatmanur Göçer Sinem Büyüksaatçı Kiriş

https://doi.org/10.52122/nisantasisbd.1256691

Öz

In order to recognize research directions, monitor research hot spots and directions for further researches, this work evaluates the bibliometric analysis of quality control charts. So, based on the following analysis—chronological distribution, country distribution, keyword co-occurrence and author co-occurrence—a summary of quality control chart studies from 2022 to 2023 was obtained using VOSviewer software. A total of 2702 research papers published were examined. The findings indicate that the topics of "engineering", "management sciences & statistics" and "materials science & automation control systems" are of particular interest in quality control chart researches. In addition, the keywords “statistical process control”, “average run length” and “control charts” have seen a sharp increase in recent years in term of citations. Besides, William H. Woodall, Douglas C. Montgomery and Matthew R Reynolds were identified as the highly referenced authors. The USA, China, Pakistan, Saudi Arabia, and Malaysia were found to have the highest influence on quality control charts researches among the 76 nations studied in this study, with 618, 485, 260, 202, and 140 publications, respectively.

Anahtar Kelimeler

quality control charts bibliometric review co-citation analysis

Kaynakça

  • Abdulghafour, A. B., Omran, S. H., Jafar, M. S., Mottar, M. M., & Hussein, O. H. (2021, August). Application of statistical control charts for monitoring the textile yarn quality. In Journal of Physics: Conference Series (Vol. 1973, No. 1, p. 012158). IOP Publishing.
  • Abtew, M. A., Kropi, S., Hong, Y., & Pu, L. (2018). Implementation of statistical process control (SPC) in the sewing section of garment industry for quality improvement. AUTEX Research Journal, 18(2), 160-172.
  • Alfatiyah, R., Bastuti, S., & Kurnia, D. (2020, July). Implementation of statistical quality control to reduce defects in Mabell Nugget products (case study at Pt. Petra Sejahtera Abadi). In IOP Conference Series: Materials Science and Engineering (Vol. 852, No. 1, p. 012107). IOP Publishing.
  • Aykroyd, R. G., Leiva, V., & Ruggeri, F. (2019). Recent developments of control charts, identification of big data sources and future trends of current research. Technological Forecasting and Social Change, 144, 221-232.
  • Anscombe, F. J., & Page, E. S. (1954). Sequential tests for binomial and exponential populations. Biometrika, 41(1-2), 252-253.
  • Bersimis, S., Psarakis, S., & Panaretos, J. (2007). Multivariate statistical process control charts: an overview. Quality and Reliability engineering international, 23(5), 517-543.
  • Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R., & Váncza, J. (2014). Design and management of manufacturing systems for production quality. Cirp Annals, 63(2), 773-796.
  • Crosier, R. B. (1988). Multivariate generalizations of cumulative sum quality-control schemes. Technometrics, 30(3), 291-303.
  • Das, A. (2013). Testing and statistical quality control in textile manufacturing. In Process control in textile manufacturing (pp. 41-78). Woodhead Publishing.
  • Duncan, A. J. (1956). The economic design of X charts used to maintain current control of a process. Journal of the American statistical association, 51(274), 228-242.
  • González Álvarez, R., Barrera García, A., Guerra Morffi, A. B., & Medina Mendieta, J. F. (2022). Stability assessment and process capability analysis in a food pasta company. Visión de futuro, 26(1), 231-251.
  • Halim Lim, S. A., Antony, J., Arshed, N., & Albliwi, S. (2017). A systematic review of statistical process control implementation in the food manufacturing industry. Total Quality Management & Business Excellence, 28(1-2), 176-189.
  • Harris, T. J., & Ross, W. H. (1991). Statistical process control procedures for correlated observations. The canadian journal of chemical engineering, 69(1), 48-57.
  • Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72-80.
  • Hrvacic, I. (2018). Design and implementation of SPC systems in defense industry manufacturing process. Periodicals of Engineering and Natural Sciences (PEN), 6(1), 27-40.
  • Jalote, P., & Saxena, A. (2002). Optimum control limits for employing statistical process control in software process. IEEE Transactions on Software Engineering, 28(12), 1126-1134.
  • Kang, L., & Albin, S. L. (2000). On-line monitoring when the process yields a linear profile. Journal of quality Technology, 32(4), 418-426.
  • Kim, K. M. Mahmoud, and W. Woodall. 2003. On the monitoring of linear profiles. Journal of Quality Technology, 35(3), 317-28.
  • Koutras, M. V., Bersimis, S., & Maravelakis, P. (2007). Statistical process control using Shewhart control charts with supplementary runs rules. Methodology and Computing in Applied Probability, 9(2), 207-224.
  • Lee, J. M., Yoo, C., & Lee, I. B. (2004). Fault detection of batch processes using multiway kernel principal component analysis. Computers & chemical engineering, 28(9), 1837-1847.
  • Lim, S. A. H., Antony, J., & Albliwi, S. (2014). Statistical Process Control (SPC) in the food industry–A systematic review and future research agenda. Trends in food science & technology, 37(2), 137-151.
  • Lowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE transactions, 27(6), 800-810.
  • Lowry, C. A., Woodall, W. H., Champ, C. W., & Rigdon, S. E. (1992). A multivariate exponentially weighted moving average control chart. Technometrics, 34(1), 46-53.
  • Lucas, J. M., & Saccucci, M. S. (1990). Exponentially weighted moving average control schemes: properties and enhancements. Technometrics, 32(1), 1-12.
  • MacCarthy, B. L., & Wasusri, T. (2002). A review of non‐standard applications of statistical process control (SPC) charts. International Journal of Quality & Reliability Management, 19(3), 295-320.
  • Madanhire, I., & Mbohwa, C. (2016). Statistical Process Control (SPC) Application in a Manufacturing Firm to Improve Cost Effectiveness: Case study. In Int. Conf. Ind. Eng. Oper. Manag (pp. 2298-2305).
  • Mahmoud, M. A., & Woodall, W. H. (2004). Phase I analysis of linear profiles with calibration applications. Technometrics, 46(4), 380-391.
  • Mahmoud, M. A., Parker, P. A., Woodall, W. H., & Hawkins, D. M. (2007). A change point method for linear profile data. Quality and Reliability Engineering International, 23(2), 247-268.
  • Montgomery, D. C. (2007). Introduction to statistical quality control. John Wiley & Sons.
  • Montgomery, D. C. (2020). Introduction to statistical quality control. John Wiley & Sons.
  • Nasiri, M., & Darestani, S. A. (2016). A literature review investigation on quality control charts based on fuzzy logic. International Journal of Productivity and Quality Management, 18(4), 474-498.
  • Nichols, M. D., & Padgett, W. J. (2006). A bootstrap control chart for Weibull percentiles. Quality and reliability engineering international, 22(2), 141-151.
  • Pignatiello Jr, J. J., & Runger, G. C. (1990). Comparisons of multivariate CUSUM charts. Journal of quality technology, 22(3), 173-186.
  • Rai, B. K. (2008). Implementation of statistical process control in an Indian tea packaging company. International Journal of Business Excellence, 1(1-2), 160-174.
  • Ranjbari, M., Saidani, M., Esfandabadi, Z. S., Peng, W., Lam, S. S., Aghbashlo, M., ... & Tabatabaei, M. (2021). Two decades of research on waste management in the circular economy: Insights from bibliometric, text mining, and content analyses. Journal of Cleaner Production, 314, 128009.
  • Reynolds, M. R., Amin, R. W., Arnold, J. C., & Nachlas, J. A. (1988). Charts with variable sampling intervals. Technometrics, 30(2), 181-192.
  • Roberts, S. W. (2000). Control chart tests based on geometric moving averages. Technometrics, 42(1), 97-101.
  • Silpakob, K., Areepong, Y., Sukparungsee, S., & Sunthornwat, R. (2023). A New Modified EWMA Control Chart for Monitoring Processes Involving Autocorrelated Data. Intelligent Automation & Soft Computing, 36(1).
  • Suman, G., & Prajapati, D. (2018). Control chart applications in healthcare: a literature review. International Journal of Metrology and Quality Engineering, 9, 5.
  • Suryoputro, M. R., Sugarindra, M., & Erfaisalsyah, H. (2017, June). Quality Control System using Simple Implementation of Seven Tools for Batik Textile Manufacturing. In IOP Conference Series: Materials Science and Engineering (Vol. 215, No. 1, p. 012028). IOP Publishing.
  • Vadori, R. (2020). Quality control and standards in manufacturing of medical devices. In Metallic Biomaterials Processing and Medical Device Manufacturing (pp. 549-568). Woodhead Publishing
  • Williams, J. D., Woodall, W. H., & Birch, J. B. (2007). Statistical monitoring of nonlinear product and process quality profiles. Quality and Reliability Engineering International, 23(8), 925-941.
  • Woodall, W. H. (2006). The use of control charts in health-care and public-health surveillance. Journal of Quality Technology, 38(2), 89-104. Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality Technology, 31(4), 376-386.
  • Woodall, W. H., & Montgomery, D. C. (2014). Some current directions in the theory and application of statistical process monitoring. Journal of Quality Technology, 46(1), 78-94.
  • Zhao, X., Zuo, J., Wu, G., & Huang, C. (2019). A bibliometric review of green building research 2000–2016. Architectural Science Review, 62(1), 74-88.
  • Zou, C., Tsung, F., & Wang, Z. (2007). Monitoring general linear profiles using multivariate exponentially weighted moving average schemes. Technometrics, 49(4), 395-408.
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Beşeri Coğrafya (Diğer)
Bölüm Derleme Makale
Yazarlar

Fatmanur Göçer 0000-0001-8063-2566

Sinem Büyüksaatçı Kiriş 0000-0001-7697-3018

Yayımlanma Tarihi 31 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 11 Sayı: 2

Kaynak Göster

APA Göçer, F., & Büyüksaatçı Kiriş, S. (2023). A BIBLIOMETRIC ANALYSIS OF QUALITY CONTROL CHARTS. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 11(2), 263-282. https://doi.org/10.52122/nisantasisbd.1256691
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