Statistical analysis of manufacturing system complexity
Given the dynamism of the markets and the economic growth, nowadays companies must look for mechanisms that allow them to develop new strategies and compete successfully. The objective of this work is to develop a statistical analysis of the complexity of a manufacturing system. The methodological a...
- Autores:
-
Herrera Vidal, Germán
Coronado Hernandez, Jairo R.
Minnaard, Claudia
Gatica, Gustavo
Schwarzenberg, Pablo
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/14265
- Acceso en línea:
- https://hdl.handle.net/11323/14265
https://repositorio.cuc.edu.co/
- Palabra clave:
- Complexity
Manufacturing
Statistical
Characteristics
- Rights
- closedAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Statistical analysis of manufacturing system complexity |
| title |
Statistical analysis of manufacturing system complexity |
| spellingShingle |
Statistical analysis of manufacturing system complexity Complexity Manufacturing Statistical Characteristics |
| title_short |
Statistical analysis of manufacturing system complexity |
| title_full |
Statistical analysis of manufacturing system complexity |
| title_fullStr |
Statistical analysis of manufacturing system complexity |
| title_full_unstemmed |
Statistical analysis of manufacturing system complexity |
| title_sort |
Statistical analysis of manufacturing system complexity |
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Herrera Vidal, Germán Coronado Hernandez, Jairo R. Minnaard, Claudia Gatica, Gustavo Schwarzenberg, Pablo |
| dc.contributor.author.none.fl_str_mv |
Herrera Vidal, Germán Coronado Hernandez, Jairo R. Minnaard, Claudia Gatica, Gustavo Schwarzenberg, Pablo |
| dc.subject.proposal.eng.fl_str_mv |
Complexity Manufacturing Statistical Characteristics |
| topic |
Complexity Manufacturing Statistical Characteristics |
| description |
Given the dynamism of the markets and the economic growth, nowadays companies must look for mechanisms that allow them to develop new strategies and compete successfully. The objective of this work is to develop a statistical analysis of the complexity of a manufacturing system. The methodological approach starts with the analysis of the data obtained through the Likert technique, identifying characteristics associated with high complexity, consequently, an inquiry is made on the factors that influence significantly from an experimental analysis, then a factor analysis is made to determine the correlations between the variables raised, and finally the association between the complexity of the manufacturing characteristics and the complexity of the elements of a system is evaluated. The study is based on a sample of 71 small- and medium-sized companies in the city of Cartagena, Colombia. The results obtained show a dominance of complexity in manufacturing systems, confirming the level of significance between subsectors, type of operation, and type of process; determining that there are high correlations between the variables; and corroborating the relationship between the variables and the characteristics of the manufacturing system |
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2025-06-04T19:44:12Z |
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Vidal, G. H., Hernández, J. R. C., Minnaard, C., Gatica, G., & Schwarzenberg, P. (2022). Statistical analysis of manufacturing system complexity. The International Journal of Advanced Manufacturing Technology, 120(5), 3427–3436. doi:10.1007/s00170-022-08981-z |
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https://hdl.handle.net/11323/14265 |
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10.1007/s00170-022-08981-z |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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Vidal, G. H., Hernández, J. R. C., Minnaard, C., Gatica, G., & Schwarzenberg, P. (2022). Statistical analysis of manufacturing system complexity. The International Journal of Advanced Manufacturing Technology, 120(5), 3427–3436. doi:10.1007/s00170-022-08981-z 10.1007/s00170-022-08981-z Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/14265 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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Springer Nature |
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Salom G, Shulterbrandt S (2012) Microenterprises, SMEs and Latin America. In Inter Forum Magazine. Retrieved on (pp. 10–12) Wolff J, Pett T (2006) Small-firm performance: modeling the role of product and process improvements. J Small Bus Manag 44(2):268–284. https://doi.org/10.1111/j.1540-627X.2006.00167.x Escobar A, Velandia G, Hernández P (2017) Gestión del conocimiento e innovación en las PYME exportadoras del sector industrial en Colombia Pine Ii B, Hull R (1995) Mass customization: the new frontier in business competition. R and D Manag 25(2):254 Michalos G, Makris S, Papakostas N, Mourtzis D, Chryssolouris G (2010) Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach. CIRP J Manuf Sci Technol 2(2):81–91. https://doi.org/10.1016/j.cirpj.2009.12.001 Vidal GH, Hernández JRC (2021) Study of the effects of complexity on the manufacturing sector. Prod Eng Res Devel. https://doi.org/10.1007/s11740-020-01014-2 Papakostas N, Papachatzakis P, Xanthakis V, Mourtzis D, Chryssolouris G (2010) An approach to operational aircraft maintenance planning. Decis Support Syst 48(4):604–612. https://doi.org/10.1016/j.dss.2009.11.010 Herbert S (1962) The architecture of complexity. Proc Am Philos Soc 106(6):467–482. https://doi.org/10.2307/985254 Flynn B, Flynn E (1999) Information-processing alternatives for coping with manufacturing environment complexity. Decis Sci 30(4):1021–1052. https://doi.org/10.1111/j.1540-5915.1999.tb00917.xFlynn B, Flynn E (1999) Information-processing alternatives for coping with manufacturing environment complexity. Decis Sci 30(4):1021–1052. https://doi.org/10.1111/j.1540-5915.1999.tb00917.xFlynn B, Flynn E (1999) Information-processing alternatives for coping with manufacturing environment complexity. Decis Sci 30(4):1021–1052. https://doi.org/10.1111/j.1540-5915.1999.tb00917.x Calinescu A, Efstathiou J, Bermejo J, Schirn J (1997) Assessing decision-making and process complexity in a manufacturer through simulation. IFAC Proceedings Volumes 30(24):149–152 Isik F (2010) An entropy-based approach for measuring complexity in supply chains. Int J Prod Res 48(12):3681–3696. https://doi.org/10.1080/00207540902810593 Gaio L, Gino F, Zaninotto E (2002) I sistemi di produzione: manuale per la gestione operativa dell’impresa. Carocci Bick W, Drexl-Wittbecker S (2008) Komplexität reduzieren: Konzept. Methoden. Praxis. LOG_X, Stuttgart Salum L (2000) The cellular manufacturing layout problem. Int J Prod Res 38(5):1053–1069. https://doi.org/10.1080/002075400189013 Heragu S, Kusiak A (1988) Machine layout problem in flexible manufacturing systems. Oper Res 36(2):258–268 Meller R, Gau K (1996) The facility layout problem: recent and emerging trends and perspectives. J Manuf Syst 15(5):351–366. https://doi.org/10.1287/opre.36.2.258 Li S, Rao S, Ragu-Nathan T, Ragu-Nathan B (2005) Development and validation of a measurement instrument for studying supply chain management practices. J Oper Manag 23(6):618–641. https://doi.org/10.1016/j.jom.2005.01.002 Wu Y, Frizelle G, Ayral L, Marsein J, Van de Merwe E, Zhou D (2002) A simulation study on supply chain complexity in manufacturing industry. En Proceedings of the conference of the manufacturing complexity network. University of Cambridge. https://doi.org/10.1016/j.cirpj.2019.02.001 Jacobs M (2007) Product complexity: a definition and impacts on operations. Decision Line 38(5):6–12. https://doi.org/10.1016/j.cirpj.2019.02.001 Efthymiou K, Mourtzis D, Pagoropoulos A, Papakostas N, Chryssolouris G (2016) Manufacturing systems complexity analysis methods review. Int J Comput Integr Manuf 29(9):1025–1044. https://doi.org/10.1080/0951192X.2015.1130245 |
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© 2022 The Author(s) |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2022 The Author(s)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbHerrera Vidal, GermánCoronado Hernandez, Jairo R.virtual::1194-1Minnaard, ClaudiaGatica, GustavoSchwarzenberg, Pablo2025-06-04T19:44:12Z2025-06-04T19:44:12Z2022-03-04Vidal, G. H., Hernández, J. R. C., Minnaard, C., Gatica, G., & Schwarzenberg, P. (2022). Statistical analysis of manufacturing system complexity. The International Journal of Advanced Manufacturing Technology, 120(5), 3427–3436. doi:10.1007/s00170-022-08981-zhttps://hdl.handle.net/11323/1426510.1007/s00170-022-08981-zCorporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Given the dynamism of the markets and the economic growth, nowadays companies must look for mechanisms that allow them to develop new strategies and compete successfully. The objective of this work is to develop a statistical analysis of the complexity of a manufacturing system. The methodological approach starts with the analysis of the data obtained through the Likert technique, identifying characteristics associated with high complexity, consequently, an inquiry is made on the factors that influence significantly from an experimental analysis, then a factor analysis is made to determine the correlations between the variables raised, and finally the association between the complexity of the manufacturing characteristics and the complexity of the elements of a system is evaluated. The study is based on a sample of 71 small- and medium-sized companies in the city of Cartagena, Colombia. The results obtained show a dominance of complexity in manufacturing systems, confirming the level of significance between subsectors, type of operation, and type of process; determining that there are high correlations between the variables; and corroborating the relationship between the variables and the characteristics of the manufacturing system9 páginasapplication/pdfengSpringer Naturehttps://link.springer.com/article/10.1007/s00170-022-08981-zStatistical analysis of manufacturing system complexityArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Springer NatureSalom G, Shulterbrandt S (2012) Microenterprises, SMEs and Latin America. In Inter Forum Magazine. Retrieved on (pp. 10–12)Wolff J, Pett T (2006) Small-firm performance: modeling the role of product and process improvements. J Small Bus Manag 44(2):268–284. https://doi.org/10.1111/j.1540-627X.2006.00167.xEscobar A, Velandia G, Hernández P (2017) Gestión del conocimiento e innovación en las PYME exportadoras del sector industrial en ColombiaPine Ii B, Hull R (1995) Mass customization: the new frontier in business competition. R and D Manag 25(2):254Michalos G, Makris S, Papakostas N, Mourtzis D, Chryssolouris G (2010) Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach. CIRP J Manuf Sci Technol 2(2):81–91. https://doi.org/10.1016/j.cirpj.2009.12.001Vidal GH, Hernández JRC (2021) Study of the effects of complexity on the manufacturing sector. Prod Eng Res Devel. https://doi.org/10.1007/s11740-020-01014-2Papakostas N, Papachatzakis P, Xanthakis V, Mourtzis D, Chryssolouris G (2010) An approach to operational aircraft maintenance planning. Decis Support Syst 48(4):604–612. https://doi.org/10.1016/j.dss.2009.11.010Herbert S (1962) The architecture of complexity. Proc Am Philos Soc 106(6):467–482. https://doi.org/10.2307/985254Flynn B, Flynn E (1999) Information-processing alternatives for coping with manufacturing environment complexity. Decis Sci 30(4):1021–1052. https://doi.org/10.1111/j.1540-5915.1999.tb00917.xFlynn B, Flynn E (1999) Information-processing alternatives for coping with manufacturing environment complexity. Decis Sci 30(4):1021–1052. https://doi.org/10.1111/j.1540-5915.1999.tb00917.xFlynn B, Flynn E (1999) Information-processing alternatives for coping with manufacturing environment complexity. Decis Sci 30(4):1021–1052. https://doi.org/10.1111/j.1540-5915.1999.tb00917.xCalinescu A, Efstathiou J, Bermejo J, Schirn J (1997) Assessing decision-making and process complexity in a manufacturer through simulation. IFAC Proceedings Volumes 30(24):149–152Isik F (2010) An entropy-based approach for measuring complexity in supply chains. Int J Prod Res 48(12):3681–3696. https://doi.org/10.1080/00207540902810593Gaio L, Gino F, Zaninotto E (2002) I sistemi di produzione: manuale per la gestione operativa dell’impresa. CarocciBick W, Drexl-Wittbecker S (2008) Komplexität reduzieren: Konzept. Methoden. Praxis. LOG_X, StuttgartSalum L (2000) The cellular manufacturing layout problem. Int J Prod Res 38(5):1053–1069. https://doi.org/10.1080/002075400189013Heragu S, Kusiak A (1988) Machine layout problem in flexible manufacturing systems. Oper Res 36(2):258–268Meller R, Gau K (1996) The facility layout problem: recent and emerging trends and perspectives. J Manuf Syst 15(5):351–366. https://doi.org/10.1287/opre.36.2.258Li S, Rao S, Ragu-Nathan T, Ragu-Nathan B (2005) Development and validation of a measurement instrument for studying supply chain management practices. J Oper Manag 23(6):618–641. https://doi.org/10.1016/j.jom.2005.01.002Wu Y, Frizelle G, Ayral L, Marsein J, Van de Merwe E, Zhou D (2002) A simulation study on supply chain complexity in manufacturing industry. En Proceedings of the conference of the manufacturing complexity network. University of Cambridge. https://doi.org/10.1016/j.cirpj.2019.02.001Jacobs M (2007) Product complexity: a definition and impacts on operations. Decision Line 38(5):6–12. https://doi.org/10.1016/j.cirpj.2019.02.001Efthymiou K, Mourtzis D, Pagoropoulos A, Papakostas N, Chryssolouris G (2016) Manufacturing systems complexity analysis methods review. 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ara ejercer estos derechos sobre la Obra tal y como se indica a continuación:</p>
    <ol type="a">
      <li>Reproducir la Obra, incorporar la Obra en una o más Obras Colectivas, y reproducir la Obra incorporada en las Obras Colectivas.</li>
      <li>Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.</li>
      <li>Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.</li>
    </ol>
    <p>Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).</p>
  </li>
  <br/>
  <li>
    Restricciones.
    <p>La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:</p>
    <ol type="a">
      <li>Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).</li>
      <li>Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.</li>
      <li>Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.</li>
      <li>
        Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:
        <ol type="i">
          <li>Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.</li>
          <li>Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
        </ol>
      </li>
      <li>Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.</li>
    </ol>
  </li>
  <br/>
  <li>
    Representaciones, Garantías y Limitaciones de Responsabilidad.
    <p>A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Limitación de responsabilidad.
    <p>A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.</p>
  </li>
  <br/>
  <li>
    Término.
    <ol type="a">
      <li>Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.</li>
      <li>Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.</li>
    </ol>
  </li>
  <br/>
  <li>
    Varios.
    <ol type="a">
      <li>Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.</li>
      <li>Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.</li>
      <li>Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.</li>
      <li>Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.</li>
    </ol>
  </li>
  <br/>
</ol>
 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