An assembling line balancing problem: lead-acid batteries case study
This paper presents an application of a simple assembly line balancing problem (SALB) in a lead-acid battery factory in Colombia. SALBP-1 was the selected approach to carry out the research. In this type of SALBP, there is a fixed cycle time, and the purpose is to minimize the number of workstations...
- Autores:
-
Navas Barrios, Esteban Manuel
Riquett-Rodríguez, Ana
Macías-Jiménez, Mayra A.
Romero-Conrado, Alfonso R.
- 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:11323/10807
- Acceso en línea:
- https://hdl.handle.net/11323/10807
https://repositorio.cuc.edu.co/
- Palabra clave:
- Simple assembly line balancing problem
SALBP-1
Lead-acid battery
Mixed-integer linear model
Line efficiency
Idle time reduction
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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dc.title.eng.fl_str_mv |
An assembling line balancing problem: lead-acid batteries case study |
title |
An assembling line balancing problem: lead-acid batteries case study |
spellingShingle |
An assembling line balancing problem: lead-acid batteries case study Simple assembly line balancing problem SALBP-1 Lead-acid battery Mixed-integer linear model Line efficiency Idle time reduction |
title_short |
An assembling line balancing problem: lead-acid batteries case study |
title_full |
An assembling line balancing problem: lead-acid batteries case study |
title_fullStr |
An assembling line balancing problem: lead-acid batteries case study |
title_full_unstemmed |
An assembling line balancing problem: lead-acid batteries case study |
title_sort |
An assembling line balancing problem: lead-acid batteries case study |
dc.creator.fl_str_mv |
Navas Barrios, Esteban Manuel Riquett-Rodríguez, Ana Macías-Jiménez, Mayra A. Romero-Conrado, Alfonso R. |
dc.contributor.author.none.fl_str_mv |
Navas Barrios, Esteban Manuel Riquett-Rodríguez, Ana Macías-Jiménez, Mayra A. Romero-Conrado, Alfonso R. |
dc.subject.proposal.eng.fl_str_mv |
Simple assembly line balancing problem SALBP-1 Lead-acid battery Mixed-integer linear model Line efficiency Idle time reduction |
topic |
Simple assembly line balancing problem SALBP-1 Lead-acid battery Mixed-integer linear model Line efficiency Idle time reduction |
description |
This paper presents an application of a simple assembly line balancing problem (SALB) in a lead-acid battery factory in Colombia. SALBP-1 was the selected approach to carry out the research. In this type of SALBP, there is a fixed cycle time, and the purpose is to minimize the number of workstations. To this aim, a process characterization was conducted, and a mixed-integer linear model was formulated. Then, an exact solution was found using GAMS® software. The main findings included reducing the number of workstations from 10 to 4. This change impacted the line efficiency and the idle time achieving a 150% and a 94% improvement, respectively. This research demonstrated the impact of dealing with SALBP on production companies over the line performance in terms of idle time minimization and productivity increase. |
publishDate |
2022 |
dc.date.issued.none.fl_str_mv |
2022 |
dc.date.accessioned.none.fl_str_mv |
2024-03-01T15:55:30Z |
dc.date.available.none.fl_str_mv |
2024-03-01T15:55:30Z |
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Artículo de revista |
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Esteban Navas-Barrios, Ana Riquett-Rodríguez, Mayra A. Macías-Jiménez, Alfonso R. Romero-Conrado, An assembling line balancing problem: Lead-acid batteries case study, Procedia Computer Science, Volume 203, 2022, Pages 525-530, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.07.074 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/11323/10807 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.procs.2022.07.074 |
dc.identifier.eissn.spa.fl_str_mv |
1877-0509 |
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 |
Esteban Navas-Barrios, Ana Riquett-Rodríguez, Mayra A. Macías-Jiménez, Alfonso R. Romero-Conrado, An assembling line balancing problem: Lead-acid batteries case study, Procedia Computer Science, Volume 203, 2022, Pages 525-530, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.07.074 10.1016/j.procs.2022.07.074 1877-0509 Corporación Universidad de la Costa REDICUC – Repositorio CUC |
url |
https://hdl.handle.net/11323/10807 https://repositorio.cuc.edu.co/ |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournal.spa.fl_str_mv |
Procedia Computer Science |
dc.relation.references.spa.fl_str_mv |
[1] Boysen N, Fliedner M, Scholl A. A classification of assembly line balancing problems. European Journal of Operational Research 2007;183. https://doi.org/10.1016/j.ejor.2006.10.010. [2] Pearce BW, Antani K, Mears L, Funk K, Mayorga ME, Kurz ME. An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems 2019;50. https://doi.org/10.1016/j.jmsy.2018.12.011. [3] Chutima P. Research trends and outlooks in assembly line balancing problems. Engineering Journal 2020;24. https://doi.org/10.4186/ej.2020.24.5.93. [4] la Scalia G, Micale R, Aiello G, Enea M. Solving type-2 assembly line balancing problem with fuzzy binary linear programming. Journal of Intelligent and Fuzzy Systems 2013;25:517–24. https://doi.org/10.3233/IFS120656. [5] Pastor R, Ferrer L, García A. Evaluating Optimization Models to Solve SALBP. Lecture Notes in Computer Science, vol. 4705, 2007, p. 791–803. [6] Boysen N, Schulze P, Scholl A. Assembly line balancing: What happened in the last fifteen years? European Journal of Operational Research 2021. https://doi.org/10.1016/j.ejor.2021.11.043. [7] Raji IO, Rossi T. Optimizing Supply Chain Network Design with SALBP-E Assembly line issue. Proceedings of the International Conference on Industrial Engineering and Operations Management, Paris, France: 2018. [8] Kilincci O. Firing sequences backward algorithm for simple assembly line balancing problem of type 1. Computers & Industrial Engineering 2011;60:830–9. https://doi.org/10.1016/j.cie.2011.02.001. [9] Jiao YL, Jin HQ, Xing XC, Li MJ, Liu XR. Assembly line balance research methods, literature and development review. Concurrent Engineering Research and Applications 2021;29. https://doi.org/10.1177/1063293X20987910. [10] Jirasirilerd G, Pitakaso R, Sethanan K, Kaewman S, Sirirak W, Kosacka-Olejnik M. Simple assembly line balancing problem type 2 by variable neighborhood strategy adaptive search: A case study garment industry. Journal of Open Innovation: Technology, Market, and Complexity 2020;6. https://doi.org/10.3390/JOITMC6010021. [11] Bakar NA, Ramli MF, Zakaria MZ, Sin TC, Masran H. Minimization of Bottleneck and Workstations for Assembly Line Balancing Problem in Power Transformer Manufacturing Using Heuristics. 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application, ICSIMA 2018, 2019. https://doi.org/10.1109/ICSIMA.2018.8688780. [12] Sagastume Gutiérrez A, Cabello Eras JJ, Sousa Santos V, Hernández Herrera H, Hens L, Vandecasteele C. Electricity management in the production of lead-acid batteries: The industrial case of a production plant in Colombia. Journal of Cleaner Production 2018;198. https://doi.org/10.1016/j.jclepro.2018.07.105. [13] Morejón MB, Eras JJC, Gutierrez AS, Santos VS, Gómez YP, Rueda-Bayona JG. Factors affecting the electricity consumption and productivity of the lead acid battery formation process. The case of a battery plant in Colombia. International Journal of Energy Economics and Policy 2019;9:103–12. https://doi.org/10.32479/ijeep.8021. [14] Erdoğan A, Talı A, Kırcalı B, Günal B, Dedecengiz EN, Yüksel D, et al. Parallel Workforce Assignment Problem for Battery Production. Lecture Notes in Mechanical Engineering, 2022. https://doi.org/10.1007/978- 3-030-90421-0_64. [15] Grassi YS, Brignole NB, Díaz MF. Vehicular fleet characterisation and assessment of the on-road mobile source emission inventory of a Latin American intermediate city. Science of the Total Environment 2021;792. https://doi.org/10.1016/j.scitotenv.2021.148255. [16] Navas E, Riquett A. Propuesta de mejora para incrementar la productividad en la fabricación de placas expandidas de baterías plomo-ácido a través de balanceo de líneas. Universidad de la Costa, 2021. [17] Belkharroubi L, Yahyaoui K. Maximization of the assembly line efficiency using an approach based on Genetic Algorithm. 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, 2022. https://doi.org/10.1109/IRASET52964.2022.9737934. |
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© 2022 The Authors. Published by Elsevier B.V. |
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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 Authors. Published by Elsevier B.V.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Navas Barrios, Esteban ManuelRiquett-Rodríguez, AnaMacías-Jiménez, Mayra A.Romero-Conrado, Alfonso R.2024-03-01T15:55:30Z2024-03-01T15:55:30Z2022Esteban Navas-Barrios, Ana Riquett-Rodríguez, Mayra A. Macías-Jiménez, Alfonso R. Romero-Conrado, An assembling line balancing problem: Lead-acid batteries case study, Procedia Computer Science, Volume 203, 2022, Pages 525-530, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2022.07.074https://hdl.handle.net/11323/1080710.1016/j.procs.2022.07.0741877-0509Corporación Universidad de la CostaREDICUC – Repositorio CUChttps://repositorio.cuc.edu.co/This paper presents an application of a simple assembly line balancing problem (SALB) in a lead-acid battery factory in Colombia. SALBP-1 was the selected approach to carry out the research. In this type of SALBP, there is a fixed cycle time, and the purpose is to minimize the number of workstations. To this aim, a process characterization was conducted, and a mixed-integer linear model was formulated. Then, an exact solution was found using GAMS® software. The main findings included reducing the number of workstations from 10 to 4. This change impacted the line efficiency and the idle time achieving a 150% and a 94% improvement, respectively. This research demonstrated the impact of dealing with SALBP on production companies over the line performance in terms of idle time minimization and productivity increase.6 páginasapplication/pdfengElsevier BVNetherlandshttps://www.sciencedirect.com/science/article/pii/S1877050922006792An assembling line balancing problem: lead-acid batteries case studyArtículo 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_970fb48d4fbd8a85Procedia Computer Science[1] Boysen N, Fliedner M, Scholl A. A classification of assembly line balancing problems. European Journal of Operational Research 2007;183. https://doi.org/10.1016/j.ejor.2006.10.010.[2] Pearce BW, Antani K, Mears L, Funk K, Mayorga ME, Kurz ME. An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems 2019;50. https://doi.org/10.1016/j.jmsy.2018.12.011.[3] Chutima P. Research trends and outlooks in assembly line balancing problems. Engineering Journal 2020;24. https://doi.org/10.4186/ej.2020.24.5.93.[4] la Scalia G, Micale R, Aiello G, Enea M. Solving type-2 assembly line balancing problem with fuzzy binary linear programming. Journal of Intelligent and Fuzzy Systems 2013;25:517–24. https://doi.org/10.3233/IFS120656.[5] Pastor R, Ferrer L, García A. Evaluating Optimization Models to Solve SALBP. Lecture Notes in Computer Science, vol. 4705, 2007, p. 791–803.[6] Boysen N, Schulze P, Scholl A. Assembly line balancing: What happened in the last fifteen years? European Journal of Operational Research 2021. https://doi.org/10.1016/j.ejor.2021.11.043.[7] Raji IO, Rossi T. Optimizing Supply Chain Network Design with SALBP-E Assembly line issue. Proceedings of the International Conference on Industrial Engineering and Operations Management, Paris, France: 2018.[8] Kilincci O. Firing sequences backward algorithm for simple assembly line balancing problem of type 1. Computers & Industrial Engineering 2011;60:830–9. https://doi.org/10.1016/j.cie.2011.02.001.[9] Jiao YL, Jin HQ, Xing XC, Li MJ, Liu XR. Assembly line balance research methods, literature and development review. Concurrent Engineering Research and Applications 2021;29. https://doi.org/10.1177/1063293X20987910.[10] Jirasirilerd G, Pitakaso R, Sethanan K, Kaewman S, Sirirak W, Kosacka-Olejnik M. Simple assembly line balancing problem type 2 by variable neighborhood strategy adaptive search: A case study garment industry. Journal of Open Innovation: Technology, Market, and Complexity 2020;6. https://doi.org/10.3390/JOITMC6010021.[11] Bakar NA, Ramli MF, Zakaria MZ, Sin TC, Masran H. Minimization of Bottleneck and Workstations for Assembly Line Balancing Problem in Power Transformer Manufacturing Using Heuristics. 2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application, ICSIMA 2018, 2019. https://doi.org/10.1109/ICSIMA.2018.8688780.[12] Sagastume Gutiérrez A, Cabello Eras JJ, Sousa Santos V, Hernández Herrera H, Hens L, Vandecasteele C. Electricity management in the production of lead-acid batteries: The industrial case of a production plant in Colombia. Journal of Cleaner Production 2018;198. https://doi.org/10.1016/j.jclepro.2018.07.105.[13] Morejón MB, Eras JJC, Gutierrez AS, Santos VS, Gómez YP, Rueda-Bayona JG. Factors affecting the electricity consumption and productivity of the lead acid battery formation process. The case of a battery plant in Colombia. International Journal of Energy Economics and Policy 2019;9:103–12. https://doi.org/10.32479/ijeep.8021.[14] Erdoğan A, Talı A, Kırcalı B, Günal B, Dedecengiz EN, Yüksel D, et al. Parallel Workforce Assignment Problem for Battery Production. Lecture Notes in Mechanical Engineering, 2022. https://doi.org/10.1007/978- 3-030-90421-0_64.[15] Grassi YS, Brignole NB, Díaz MF. Vehicular fleet characterisation and assessment of the on-road mobile source emission inventory of a Latin American intermediate city. Science of the Total Environment 2021;792. https://doi.org/10.1016/j.scitotenv.2021.148255.[16] Navas E, Riquett A. Propuesta de mejora para incrementar la productividad en la fabricación de placas expandidas de baterías plomo-ácido a través de balanceo de líneas. Universidad de la Costa, 2021.[17] Belkharroubi L, Yahyaoui K. Maximization of the assembly line efficiency using an approach based on Genetic Algorithm. 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, 2022. https://doi.org/10.1109/IRASET52964.2022.9737934.530525203Simple assembly line balancing problemSALBP-1Lead-acid batteryMixed-integer linear modelLine efficiencyIdle time reductionPublicationORIGINALAn assembling line balancing problem.pdfAn assembling line balancing problem.pdfArtículoapplication/pdf486485https://repositorio.cuc.edu.co/bitstreams/3985aa42-7526-4715-a6cd-a69da4867439/download21ec2515a82997ac2c4b876295da237dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/356b2113-ca1a-48ff-a4cd-1f5bc266277d/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTAn assembling line balancing problem.pdf.txtAn assembling line balancing problem.pdf.txtExtracted texttext/plain22019https://repositorio.cuc.edu.co/bitstreams/0e9ad070-aef5-4a7c-9a2c-e5590128cc4f/downloadebd1552f7ed51bba83487f1ec1fc79bbMD53THUMBNAILAn assembling line balancing problem.pdf.jpgAn assembling line balancing problem.pdf.jpgGenerated Thumbnailimage/jpeg12024https://repositorio.cuc.edu.co/bitstreams/2885bcfb-1735-4582-ba40-79d90456b2be/downloade6feb133af277203c9f534063e1a0c59MD5411323/10807oai:repositorio.cuc.edu.co:11323/108072024-09-17 14:15:55.795https://creativecommons.org/licenses/by-nc-nd/4.0/© 2022 The Authors. Published by Elsevier B.V.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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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.
 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