The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice

Proposing coordination strategies for logistics networks implies, in addition to the formulation of operational proposals for the processes of supply, storage and distribution, and the design of the network structure through which goods/services, money and information will flow; the analysis of the...

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Autores:
Echeverria, Ana María
García Guliany, Jesús
Steffens Sanabria, Ernesto
Tipo de recurso:
Article of investigation
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10885
Acceso en línea:
https://hdl.handle.net/11323/10885
https://repositorio.cuc.edu.co
Palabra clave:
Agricultural supply networks
Analysis of main components
Coordination
Logistics
Rice
Rights
closedAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
id RCUC2_75904ec4a27a4bea42d2512db0dd92f6
oai_identifier_str oai:repositorio.cuc.edu.co:11323/10885
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
title The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
spellingShingle The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
Agricultural supply networks
Analysis of main components
Coordination
Logistics
Rice
title_short The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
title_full The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
title_fullStr The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
title_full_unstemmed The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
title_sort The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice
dc.creator.fl_str_mv Echeverria, Ana María
García Guliany, Jesús
Steffens Sanabria, Ernesto
dc.contributor.author.none.fl_str_mv Echeverria, Ana María
García Guliany, Jesús
Steffens Sanabria, Ernesto
dc.subject.proposal.eng.fl_str_mv Agricultural supply networks
Analysis of main components
Coordination
Logistics
Rice
topic Agricultural supply networks
Analysis of main components
Coordination
Logistics
Rice
description Proposing coordination strategies for logistics networks implies, in addition to the formulation of operational proposals for the processes of supply, storage and distribution, and the design of the network structure through which goods/services, money and information will flow; the analysis of the conditions of the economic and productive context in which the logistics activity is framed, and the articulation of these to the proposals made, to make the productive chain more efficient and meet the requirements of the client, under the restrictions imposed by the environment. This paper analyses the factors that determine the production, postharvest handling and negotiation processes, as key elements that influence the operation of the rice logistics networks in Vatapá (Brazil), and that are conditioning factors for the design of coordination strategies. The result of the analysis allows for the identification of actions that decision-makers must take to impact the efficiency of logistics networks.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021
dc.date.accessioned.none.fl_str_mv 2024-03-19T15:44:36Z
dc.date.available.none.fl_str_mv 2024-03-19T15:44:36Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Echeverria, A.M., Guliany, J.G., Sanabria, E.S. (2021). The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice. In: Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Proceedings of International Conference on Big Data, Machine Learning and Applications. Lecture Notes in Networks and Systems, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-33-4788-5_13
dc.identifier.issn.spa.fl_str_mv 2367-3370
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/10885
dc.identifier.doi.none.fl_str_mv 10.1007/978-981-33-4788-5_13
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co
identifier_str_mv Echeverria, A.M., Guliany, J.G., Sanabria, E.S. (2021). The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice. In: Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Proceedings of International Conference on Big Data, Machine Learning and Applications. Lecture Notes in Networks and Systems, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-33-4788-5_13
2367-3370
10.1007/978-981-33-4788-5_13
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/10885
https://repositorio.cuc.edu.co
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Lecture Notes in Networks and Systems
dc.relation.references.spa.fl_str_mv Abreu, G.B., de Carvalho, J.L.V., Rangel, P.H.N. (2019) Contenido De Zinc De Los Genotipos Del Arroz De La colección Nuclear De La Embrapa,
Ramírez, J.J.C., Osorio, H., Parra-Peña, R., Bogotá, C.E.P.A.L. (2007) Escalafón De La Competitividad De Los Departamentos En Colombia,
Rubiano-Rodríguez, J.A., Sánchez-Doria, T., Tofiño-Rivera, R. Estudio poblacional de Steneotarsonemus spinki (Acari: Tarsonemidae) sobre tres variedades de arroz sembradas en diferentes épocas (2019) Revista Colombiana De Entomología, 45 (1), pp. e7809-e7809.
Blackburn, J., Scudder, G. Supply Chain strategies for perishable products: The case of fresh produce (2009) Product Operat Manag, 18, pp. 129-137.
Rong, A., Akkerman, R., Grunow, M. An optimization approach for managing fresh food quality throughout the supply chain (2011) Int J Prod Econ, 131, pp. 421-429.
Romano, P. Co-ordination and integration mechanisms to manage logistics processes across supply networks (2003) J Purchas Supply Manag, 9, pp. 119-134.
Silva, J., Varela, N., Lezama, O.B.P., Hernández-, P.H., Ventura, J.M., de la Hoz, B., Coronel, L.P. July) Multi-dimension tensor factorization collaborative filtering recommendation for academic profiles (2019) International Symposium on Neural Networks, pp. 200-209. Springer, Cham
Klose, A., Drexl, A. Facility location models for distribution system design (2005) Eur J Oper Res, 162, pp. 4-29.
Zhang, G., Habenicht, W., Ludwig Spieß, W.E. Improving the structure of deep frozen and chilled food chain with tabu search procedure (2003) J Food Eng, 60, pp. 67-79.
Pfohl, H.-C., Köhler, H., Thomas, D. State of the art in supply chain risk management research: Empirical and conceptual findings and a roadmap for the implementation in practice (2010) Logist Res, 2, pp. 33-44.
Amelec, V., Carmen, V. Validation of a model for productivity evaluation for microfinance institutions (2015) Adv Sci Lett, 21 (5), pp. 1610-1614.
Mula, J., Peidro, D., Díaz-Madroñero, M., Vicens, E. Mathematical programming models for supply chain production and transport planning (2010) Eur J Oper Res, 204, pp. 377-390.
Lucas, M.T., Chhajet, D. Applications of location analysis in agriculture: A survey (2004) J Operat Res Soc, 55, pp. 561-578.
Melo, M.T., Nickel, S., Saldanha-Da-gama, F. Facility location and supply chain management—a review (2009) Eur J Oper Res, 196, pp. 401-412.
Valcárcel-Aguiar, B., Murias, P. Evaluation and management of urban liveability: A goal programming based composite indicator (2019) Soc Indic Res, 142 (2), pp. 689-712.
Omrani, H., Valipour, M., Emrouznejad, A. Using weighted goal programming model for planning regional sustainable development to optimal workforce allocation: An application for provinces of Iran (2019) Soc Indic Res, 141 (3), pp. 1007-1035.
Kim, W.C., Kwon, D.G., Lee, Y., Kim, J.H., Lin, C. Personalized goal-based investing via multi-stage stochastic goal programming (2019) Quant Fin, pp. 1-12.
Lachhwani, K.On multi-level quadratic fractional programming problem with modified fuzzy goal programming approach (2019) Int J Operat Res, 37 (1), pp. 135-156.
Amelec, V. Validation of strategies to reduce exhausted shelf products in a pharmaceutical chain (2015) Adv Sci Lett, 21 (5), pp. 1403-1405.
Viloria, A., Robayo, P.V. Inventory reduction in the supply chain of finished products for multinational companies (2016) Indian J Sci Technol, 8 (1).
Barbosa, L. Feijão com arroz e arroz com feijão: O Brasil no prato dos brasileiros (2007) Horizontes Antropológicos, 13 (28), pp. 87-116.
LIBERALIZAÇÃO COMERCIAL NO BRASIL E NTEGRAÇÃO NOS MERCADOS DE COMMODJTIES AGRÍCOLAS: OS MERCADOS DE ALGODÃO, MILHO E ARROZ (2019) Revista De Economia E Sociologia Rural, 38 (2), pp. 41-70.
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 180
dc.rights.eng.fl_str_mv Copyright 2023 Elsevier B.V., All rights reserved.
dc.rights.license.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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spelling Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)Copyright 2023 Elsevier B.V., All rights reserved.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbEcheverria, Ana MaríaGarcía Guliany, JesúsSteffens Sanabria, Ernesto2024-03-19T15:44:36Z2024-03-19T15:44:36Z2021Echeverria, A.M., Guliany, J.G., Sanabria, E.S. (2021). The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice. In: Patgiri, R., Bandyopadhyay, S., Balas, V.E. (eds) Proceedings of International Conference on Big Data, Machine Learning and Applications. Lecture Notes in Networks and Systems, vol 180. Springer, Singapore. https://doi.org/10.1007/978-981-33-4788-5_132367-3370https://hdl.handle.net/11323/1088510.1007/978-981-33-4788-5_13Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.coProposing coordination strategies for logistics networks implies, in addition to the formulation of operational proposals for the processes of supply, storage and distribution, and the design of the network structure through which goods/services, money and information will flow; the analysis of the conditions of the economic and productive context in which the logistics activity is framed, and the articulation of these to the proposals made, to make the productive chain more efficient and meet the requirements of the client, under the restrictions imposed by the environment. This paper analyses the factors that determine the production, postharvest handling and negotiation processes, as key elements that influence the operation of the rice logistics networks in Vatapá (Brazil), and that are conditioning factors for the design of coordination strategies. The result of the analysis allows for the identification of actions that decision-makers must take to impact the efficiency of logistics networks.1 páginaapplication/pdfengSpringer International Publishing AGSwitzerlandhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85146984570&doi=10.1007%2f978-981-33-4788-5_13&origin=inward&txGid=deecf387a222e0954d2f1e26df0b116aThe Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of RiceArtículo 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_970fb48d4fbd8a85Lecture Notes in Networks and SystemsAbreu, G.B., de Carvalho, J.L.V., Rangel, P.H.N. (2019) Contenido De Zinc De Los Genotipos Del Arroz De La colección Nuclear De La Embrapa,Ramírez, J.J.C., Osorio, H., Parra-Peña, R., Bogotá, C.E.P.A.L. (2007) Escalafón De La Competitividad De Los Departamentos En Colombia,Rubiano-Rodríguez, J.A., Sánchez-Doria, T., Tofiño-Rivera, R. Estudio poblacional de Steneotarsonemus spinki (Acari: Tarsonemidae) sobre tres variedades de arroz sembradas en diferentes épocas (2019) Revista Colombiana De Entomología, 45 (1), pp. e7809-e7809.Blackburn, J., Scudder, G. Supply Chain strategies for perishable products: The case of fresh produce (2009) Product Operat Manag, 18, pp. 129-137.Rong, A., Akkerman, R., Grunow, M. An optimization approach for managing fresh food quality throughout the supply chain (2011) Int J Prod Econ, 131, pp. 421-429.Romano, P. Co-ordination and integration mechanisms to manage logistics processes across supply networks (2003) J Purchas Supply Manag, 9, pp. 119-134.Silva, J., Varela, N., Lezama, O.B.P., Hernández-, P.H., Ventura, J.M., de la Hoz, B., Coronel, L.P. July) Multi-dimension tensor factorization collaborative filtering recommendation for academic profiles (2019) International Symposium on Neural Networks, pp. 200-209. Springer, ChamKlose, A., Drexl, A. Facility location models for distribution system design (2005) Eur J Oper Res, 162, pp. 4-29.Zhang, G., Habenicht, W., Ludwig Spieß, W.E. Improving the structure of deep frozen and chilled food chain with tabu search procedure (2003) J Food Eng, 60, pp. 67-79.Pfohl, H.-C., Köhler, H., Thomas, D. State of the art in supply chain risk management research: Empirical and conceptual findings and a roadmap for the implementation in practice (2010) Logist Res, 2, pp. 33-44.Amelec, V., Carmen, V. Validation of a model for productivity evaluation for microfinance institutions (2015) Adv Sci Lett, 21 (5), pp. 1610-1614.Mula, J., Peidro, D., Díaz-Madroñero, M., Vicens, E. Mathematical programming models for supply chain production and transport planning (2010) Eur J Oper Res, 204, pp. 377-390.Lucas, M.T., Chhajet, D. Applications of location analysis in agriculture: A survey (2004) J Operat Res Soc, 55, pp. 561-578.Melo, M.T., Nickel, S., Saldanha-Da-gama, F. Facility location and supply chain management—a review (2009) Eur J Oper Res, 196, pp. 401-412.Valcárcel-Aguiar, B., Murias, P. Evaluation and management of urban liveability: A goal programming based composite indicator (2019) Soc Indic Res, 142 (2), pp. 689-712.Omrani, H., Valipour, M., Emrouznejad, A. Using weighted goal programming model for planning regional sustainable development to optimal workforce allocation: An application for provinces of Iran (2019) Soc Indic Res, 141 (3), pp. 1007-1035.Kim, W.C., Kwon, D.G., Lee, Y., Kim, J.H., Lin, C. Personalized goal-based investing via multi-stage stochastic goal programming (2019) Quant Fin, pp. 1-12.Lachhwani, K.On multi-level quadratic fractional programming problem with modified fuzzy goal programming approach (2019) Int J Operat Res, 37 (1), pp. 135-156.Amelec, V. Validation of strategies to reduce exhausted shelf products in a pharmaceutical chain (2015) Adv Sci Lett, 21 (5), pp. 1403-1405.Viloria, A., Robayo, P.V. Inventory reduction in the supply chain of finished products for multinational companies (2016) Indian J Sci Technol, 8 (1).Barbosa, L. Feijão com arroz e arroz com feijão: O Brasil no prato dos brasileiros (2007) Horizontes Antropológicos, 13 (28), pp. 87-116.LIBERALIZAÇÃO COMERCIAL NO BRASIL E NTEGRAÇÃO NOS MERCADOS DE COMMODJTIES AGRÍCOLAS: OS MERCADOS DE ALGODÃO, MILHO E ARROZ (2019) Revista De Economia E Sociologia Rural, 38 (2), pp. 41-70.1180Agricultural supply networksAnalysis of main componentsCoordinationLogisticsRicePublicationORIGINALThe Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice.pdfThe Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice.pdfArtículoapplication/pdf142466https://repositorio.cuc.edu.co/bitstreams/d9c68b77-b582-406f-b5d7-dffc353dba4f/download5128e13f76111739be01fa6aae098835MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/049ee3e5-39f0-4252-850b-893acd3f52ab/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTThe Goals Programming as a Tool 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ada en las Obras Colectivas.

b.	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.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
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).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	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).

b.	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.

c.	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.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	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.

ii.	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.

e.	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.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
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.

6. Limitación de responsabilidad.
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.

7. Término.

a.	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.

b.	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.

8. Varios.

a.	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.

b.	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.

c.	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.

d.	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.
