Titulo:
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial
.
Sumario:
Este artículo propone un método para calcular el indicador de oee (Eficacia General del Equipo). Esta propuesta se basa en utilizar el concepto de gemelo digital de un equipo para calcular el indicador oee, teniendo en cuenta aspectos relacionados con la transformación digital industrial que requieren las empresas actualmente.
Guardado en:
2256-1498
13
2023-03-03
1
27
Revista Mutis - 2023
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
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Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial Calculation of the Overall Equipment Effectiveness (OEE) Based on the Digital Twin Concept under an Industrial Digital Transformation Environment Este artículo propone un método para calcular el indicador de oee (Eficacia General del Equipo). Esta propuesta se basa en utilizar el concepto de gemelo digital de un equipo para calcular el indicador oee, teniendo en cuenta aspectos relacionados con la transformación digital industrial que requieren las empresas actualmente. This article proposes a method to calculate the oee (Overall Equipment Effectiveness) indicator. This proposal is based on using the concept of a digital twin of a team to calculate the oee indicator, considering aspects related to the industrial digital transformation that are currently required by companies. Rojas Alvarado , Oscar Amaury Benavidez, Johan Felipe Pascuas, Wilmer Engineering OEE (Overall Equipment Effectiveness) Industrial digital transformation Industry 4.0 Digital twin OEE transformación digital industrial Industria 4.0 gemelo digital 13 2 Núm. 2 , Año 2023 : Dossier. XI congreso CIIMA Artículo de revista Journal article 2023-03-03T00:00:00Z 2023-03-03T00:00:00Z 2023-03-03 application/pdf Universidad de Bogotá Jorge Tadeo Lozano Revista Mutis 2256-1498 https://revistas.utadeo.edu.co/index.php/mutis/article/view/calculo-efectividad-global-equipo-OEE 10.21789/22561498.2019 https://doi.org/10.21789/22561498.2019 spa https://creativecommons.org/licenses/by-nc-sa/4.0 Revista Mutis - 2023 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. 1 27 Adamenko, D., Kunnen, S., Pluhnau, R., Loibl, A. & Nagarajah, A. (2020). Re-view and comparison of the methods of designing the digital twin. Procedia CIRP, 91, pp. 27 – 32. https://doi.org/10.1016/j.procir.2020.02.146 Ahuja, I. P. S. & Khamba, J. S. (2008). Assessment of contributions of success-ful tpm initiatives towards competitive manufacturing. Journal of Quality in Mainte-nance Engineering. https://doi.org/10.1108/13552510810909966 Andersson, C. & Bellgran, M. (2015). On the complexity of using perfor-mance measures: Enhancing sustained production improvement capability by com-bining oee and productivity. Journal of Manufacturing Systems, 35, pp. 144 – 154. https://doi.org/10.1016/j.jmsy.2014.12.003 Bai, C., Dallasega, P., Orzes, G. & Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Econom-ics, 229, p. 107776. https://doi.org/10.1016/j.ijpe.2020.107776 Büchi, G., Cugno, M. & Castagnoli, R. (2020). Smart factory performance and industry 4.0. Technological Forecasting and Social Change, 150, p. 119790. https://doi.org/10.1016/j.techfore.2019.119790 Cercós, M. P., Calvo, L. M. & Domingo, R. (2019). An exploratory study on the relationship of overall equipment effectiveness (OEE) variables and co2 emis-sions. Procedia Manufacturing, 41, pp. 224–232. https://doi.org/10.1016/j.promfg.2019.07.050 Cheng, G., Liu, L., Qiang, X. & Liu, Y. (2016). Industry 4.0 development and application of intelligent manufacturing. in 2016 International Conference on Infor-mation System and Artificial Intelligence (ISAI), (pp. 407–410). https://doi.org/10.1109/ISAI.2016.0092 Eynard, B. & Cherfi, Z. (2020). Digital and organizational transformation of industrial systems. Computers & Industrial Engineering, 139, p. 106197. https://doi.org/10.1016/j.cie.2019.106197 Flores-Ruiz, E. Miranda-Novales, M. G. & Villasís-Keever, M. Á. (2017). El protocolo de investigación vi: cómo elegir la prueba estadística adecuada. Estadística inferencial. Revista Alergia México, 64(3), pp. 364–370. https://doi.org/10.29262/ram.v64i3.304 ISA (s.f.). Isa88, batch control. https://www.isa.org/standards-andpublications/isa-standards/isa-standards-committees/isa88 Jones, D., Snider, C., Nassehi, A., Yon, J. & Hicks, B. (2020). Characterising the digital twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29, pp. 36 – 52. https://doi.org/10.1016/j.cirpj.2020.02.002 Joppen, R., von Enzberg, S., Gundlach, J., Kühn, A. & Dumitrescu, R. (2019). Key performance indicators in the production of the future. Procedia CIRP, 81, pp. 759 – 764. https://doi.org/10.1016/j.procir.2019.03.190 Liao, Y., Deschamps, F., de Freitas, E. & Ramos, L. F. P. (2017). Past, present and future of industry 4.0 - a systematic literature review and research agenda pro-posal. International Journal of Production Research, 55(12), pp. 3609–3629. https://doi.org/10.1080/00207543.2017.1308576 Marco, C. (2016). Cómo poner en marcha el oee. https://excelencemanagement.wordpress.com/2016/08/02/comoponer-en-marcha-el-oee/ Martínez-Caro, E., Cegarra-Navarro, J. G. & Alfonso Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital organisational culture. Tech-nological Forecasting and Social Change, 154, p. 119962. https://doi.org/10.1016/j.techfore.2020.119962 Mecalux (s.f.). Miniloads mecalux. https://www.mecalux.com.co/ Muchiri, P. & Pintelon, L. (2008). Performance measurement using overall equipment effectiveness (oee): literature review and practica application discussion. International Journal of Production Research, 46(13), pp. 3517–3535. https://doi.org/10.1080/00207540601142645 Roda, I. & Macchi, M. (2019). Factory-level performance evaluation of buff-ered multi-state production systems. Journal of Manufacturing Systems, 50, pp. 226 – 235. https://doi.org/10.1016/j.jmsy.2018.12.008 Saarikko, T., Westergren, U. H. & Blomquist, T. (2020). Digital transformation: Five recommendations for the digitally conscious firm. Business Horizons. https://doi.org/10.1016/j.bushor.2020.07.005 Schiraldi, M. M. & Varisco, M. (2020). Overall equipment effectiveness: consistency of iso standard with literature. Computers & Industrial Engineering, 145, p. 106518. https://doi.org/10.1016/j.cie.2020.106518 Schleich, B., Answer, N., Mathieu, L. & Wartzack, S. (2017). Shaping the digi-tal twin for design and production engineering. CIRP Annals, 66(1), pp. 141 – 144. https://doi.org/10.1016/j.cirp.2017.04.040 Shahin, A. & Isfahani, N. G. (2015). Estimating overall equipment effective-ness for continuous production lines: with a case study in Esfahan steel company. International Journal of Services and Operations Management, 21(4), pp. 466–478. https://doi.org/10.1504/IJSOM.2015.070252 Sohal, A., Olhager, J., O’Neill, P. & Prajogo, D. (2010). Implementation ofoee–issues and challenges. Competitive and sustainable manufacturing products and services, pp. 1–8. Vial, G. (2019). Understanding digital transformation: A review and a re-search agenda. The Journal of Strategic Information Systems, 28(2), pp. 118 – 144. https://doi.org/10.1016/j.jsis.2019.01.003 https://revistas.utadeo.edu.co/index.php/mutis/article/download/calculo-efectividad-global-equipo-OEE/2051 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
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UNIVERSIDAD JORGE TADEO LOZANO |
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Colombia |
| collection |
Revista Mutis |
| title |
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial |
| spellingShingle |
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial Rojas Alvarado , Oscar Amaury Benavidez, Johan Felipe Pascuas, Wilmer Engineering OEE (Overall Equipment Effectiveness) Industrial digital transformation Industry 4.0 Digital twin transformación digital industrial Industria 4.0 gemelo digital |
| title_short |
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial |
| title_full |
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial |
| title_fullStr |
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial |
| title_full_unstemmed |
Cálculo de la Efectividad Global del Equipo (OEE) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial |
| title_sort |
cálculo de la efectividad global del equipo (oee) basado en el concepto de gemelo digital bajo un entorno de transformación digital industrial |
| title_eng |
Calculation of the Overall Equipment Effectiveness (OEE) Based on the Digital Twin Concept under an Industrial Digital Transformation Environment |
| description |
Este artículo propone un método para calcular el indicador de oee (Eficacia General del Equipo). Esta propuesta se basa en utilizar el concepto de gemelo digital de un equipo para calcular el indicador oee, teniendo en cuenta aspectos relacionados con la transformación digital industrial que requieren las empresas actualmente.
|
| description_eng |
This article proposes a method to calculate the oee (Overall Equipment Effectiveness) indicator. This proposal is based on using the concept of a digital twin of a team to calculate the oee indicator, considering aspects related to the industrial digital transformation that are currently required by companies.
|
| author |
Rojas Alvarado , Oscar Amaury Benavidez, Johan Felipe Pascuas, Wilmer |
| author_facet |
Rojas Alvarado , Oscar Amaury Benavidez, Johan Felipe Pascuas, Wilmer |
| topic |
Engineering OEE (Overall Equipment Effectiveness) Industrial digital transformation Industry 4.0 Digital twin transformación digital industrial Industria 4.0 gemelo digital |
| topic_facet |
Engineering OEE (Overall Equipment Effectiveness) Industrial digital transformation Industry 4.0 Digital twin transformación digital industrial Industria 4.0 gemelo digital |
| topicspa_str_mv |
transformación digital industrial Industria 4.0 gemelo digital |
| citationvolume |
13 |
| citationissue |
2 |
| citationedition |
Núm. 2 , Año 2023 : Dossier. XI congreso CIIMA |
| publisher |
Universidad de Bogotá Jorge Tadeo Lozano |
| ispartofjournal |
Revista Mutis |
| source |
https://revistas.utadeo.edu.co/index.php/mutis/article/view/calculo-efectividad-global-equipo-OEE |
| language |
spa |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-sa/4.0 Revista Mutis - 2023 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references |
Adamenko, D., Kunnen, S., Pluhnau, R., Loibl, A. & Nagarajah, A. (2020). Re-view and comparison of the methods of designing the digital twin. Procedia CIRP, 91, pp. 27 – 32. https://doi.org/10.1016/j.procir.2020.02.146 Ahuja, I. P. S. & Khamba, J. S. (2008). Assessment of contributions of success-ful tpm initiatives towards competitive manufacturing. Journal of Quality in Mainte-nance Engineering. https://doi.org/10.1108/13552510810909966 Andersson, C. & Bellgran, M. (2015). On the complexity of using perfor-mance measures: Enhancing sustained production improvement capability by com-bining oee and productivity. Journal of Manufacturing Systems, 35, pp. 144 – 154. https://doi.org/10.1016/j.jmsy.2014.12.003 Bai, C., Dallasega, P., Orzes, G. & Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. International Journal of Production Econom-ics, 229, p. 107776. https://doi.org/10.1016/j.ijpe.2020.107776 Büchi, G., Cugno, M. & Castagnoli, R. (2020). Smart factory performance and industry 4.0. Technological Forecasting and Social Change, 150, p. 119790. https://doi.org/10.1016/j.techfore.2019.119790 Cercós, M. P., Calvo, L. M. & Domingo, R. (2019). An exploratory study on the relationship of overall equipment effectiveness (OEE) variables and co2 emis-sions. Procedia Manufacturing, 41, pp. 224–232. https://doi.org/10.1016/j.promfg.2019.07.050 Cheng, G., Liu, L., Qiang, X. & Liu, Y. (2016). Industry 4.0 development and application of intelligent manufacturing. in 2016 International Conference on Infor-mation System and Artificial Intelligence (ISAI), (pp. 407–410). https://doi.org/10.1109/ISAI.2016.0092 Eynard, B. & Cherfi, Z. (2020). Digital and organizational transformation of industrial systems. Computers & Industrial Engineering, 139, p. 106197. https://doi.org/10.1016/j.cie.2019.106197 Flores-Ruiz, E. Miranda-Novales, M. G. & Villasís-Keever, M. Á. (2017). El protocolo de investigación vi: cómo elegir la prueba estadística adecuada. Estadística inferencial. Revista Alergia México, 64(3), pp. 364–370. https://doi.org/10.29262/ram.v64i3.304 ISA (s.f.). Isa88, batch control. https://www.isa.org/standards-andpublications/isa-standards/isa-standards-committees/isa88 Jones, D., Snider, C., Nassehi, A., Yon, J. & Hicks, B. (2020). Characterising the digital twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29, pp. 36 – 52. https://doi.org/10.1016/j.cirpj.2020.02.002 Joppen, R., von Enzberg, S., Gundlach, J., Kühn, A. & Dumitrescu, R. (2019). Key performance indicators in the production of the future. Procedia CIRP, 81, pp. 759 – 764. https://doi.org/10.1016/j.procir.2019.03.190 Liao, Y., Deschamps, F., de Freitas, E. & Ramos, L. F. P. (2017). Past, present and future of industry 4.0 - a systematic literature review and research agenda pro-posal. International Journal of Production Research, 55(12), pp. 3609–3629. https://doi.org/10.1080/00207543.2017.1308576 Marco, C. (2016). Cómo poner en marcha el oee. https://excelencemanagement.wordpress.com/2016/08/02/comoponer-en-marcha-el-oee/ Martínez-Caro, E., Cegarra-Navarro, J. G. & Alfonso Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital organisational culture. Tech-nological Forecasting and Social Change, 154, p. 119962. https://doi.org/10.1016/j.techfore.2020.119962 Mecalux (s.f.). Miniloads mecalux. https://www.mecalux.com.co/ Muchiri, P. & Pintelon, L. (2008). Performance measurement using overall equipment effectiveness (oee): literature review and practica application discussion. International Journal of Production Research, 46(13), pp. 3517–3535. https://doi.org/10.1080/00207540601142645 Roda, I. & Macchi, M. (2019). Factory-level performance evaluation of buff-ered multi-state production systems. Journal of Manufacturing Systems, 50, pp. 226 – 235. https://doi.org/10.1016/j.jmsy.2018.12.008 Saarikko, T., Westergren, U. H. & Blomquist, T. (2020). Digital transformation: Five recommendations for the digitally conscious firm. Business Horizons. https://doi.org/10.1016/j.bushor.2020.07.005 Schiraldi, M. M. & Varisco, M. (2020). Overall equipment effectiveness: consistency of iso standard with literature. Computers & Industrial Engineering, 145, p. 106518. https://doi.org/10.1016/j.cie.2020.106518 Schleich, B., Answer, N., Mathieu, L. & Wartzack, S. (2017). Shaping the digi-tal twin for design and production engineering. CIRP Annals, 66(1), pp. 141 – 144. https://doi.org/10.1016/j.cirp.2017.04.040 Shahin, A. & Isfahani, N. G. (2015). Estimating overall equipment effective-ness for continuous production lines: with a case study in Esfahan steel company. International Journal of Services and Operations Management, 21(4), pp. 466–478. https://doi.org/10.1504/IJSOM.2015.070252 Sohal, A., Olhager, J., O’Neill, P. & Prajogo, D. (2010). Implementation ofoee–issues and challenges. Competitive and sustainable manufacturing products and services, pp. 1–8. Vial, G. (2019). Understanding digital transformation: A review and a re-search agenda. The Journal of Strategic Information Systems, 28(2), pp. 118 – 144. https://doi.org/10.1016/j.jsis.2019.01.003 |
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