Design of a supply chain-based production and distribution system based on multi-stage stochastic programming
Supply chains are one of the key tools in optimizing production and distribution simultaneously. However, information uncertainty is always a challenge in production and distribution management. The main purpose of this paper is to design a two-echelon supply chain in a multi-cycle state and in cond...
- Autores:
-
Heri Iswanto, A.
Ibrahim Alazzawi, Fouad Jameel
Grimaldo Guerrero, John William
Al-Ayub Ahmed, Alim
Chetthamrongchai, Paitoon
Oleg Vladimirovich, Kabanov
Kadhim, Mustafa M.
Abed Jawad, Mohammed
Surendar, A.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/13478
- Acceso en línea:
- https://hdl.handle.net/11323/13478
https://repositorio.cuc.edu.co/
- Palabra clave:
- Demand uncertainty
Location
Capacity planning
Multi-stage stochastic programming
Production and distribution
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| title |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| spellingShingle |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming Demand uncertainty Location Capacity planning Multi-stage stochastic programming Production and distribution |
| title_short |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| title_full |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| title_fullStr |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| title_full_unstemmed |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| title_sort |
Design of a supply chain-based production and distribution system based on multi-stage stochastic programming |
| dc.creator.fl_str_mv |
Heri Iswanto, A. Ibrahim Alazzawi, Fouad Jameel Grimaldo Guerrero, John William Al-Ayub Ahmed, Alim Chetthamrongchai, Paitoon Oleg Vladimirovich, Kabanov Kadhim, Mustafa M. Abed Jawad, Mohammed Surendar, A. |
| dc.contributor.author.none.fl_str_mv |
Heri Iswanto, A. Ibrahim Alazzawi, Fouad Jameel Grimaldo Guerrero, John William Al-Ayub Ahmed, Alim Chetthamrongchai, Paitoon Oleg Vladimirovich, Kabanov Kadhim, Mustafa M. Abed Jawad, Mohammed Surendar, A. |
| dc.subject.proposal.eng.fl_str_mv |
Demand uncertainty Location Capacity planning Multi-stage stochastic programming Production and distribution |
| topic |
Demand uncertainty Location Capacity planning Multi-stage stochastic programming Production and distribution |
| description |
Supply chains are one of the key tools in optimizing production and distribution simultaneously. However, information uncertainty is always a challenge in production and distribution management. The main purpose of this paper is to design a two-echelon supply chain in a multi-cycle state and in conditions of demand uncertainty. The task includes determining the number and location of distribution centers, planning capacity for active distribution centers, and determining the amount of shipments between different levels so that the total costs of the chain are minimized. Uncertainty is applied through discrete scenarios in the model and the problem is formulated by multi-stage stochastic programming method in the form of a mixed integer linear model. The results acquired using two indicators called VMS and VSS demonstrated that modeling the supply chain design problem with the multi-stage stochastic approach can result in significant costs reduction. Plus, utilizing mathematical expectation can generate misleading results, therefore resulting in the development of supply chain designs incapable of satisfying demand due to its overlooked limitations. |
| publishDate |
2023 |
| dc.date.issued.none.fl_str_mv |
2023-10-04 |
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2024-10-23T12:23:12Z |
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2024-10-23T12:23:12Z |
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Artículo de revista |
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Heri Iswanto, A., et al. "Design of a Supply Chain-Based Production and Distribution System Based on Multi-Stage Stochastic Programming" Foundations of Computing and Decision Sciences, vol. 48, no. 3, Sciendo, 2023, pp. 357-370. https://doi.org/10.2478/fcds-2023-0015 |
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0867-6356 |
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https://hdl.handle.net/11323/13478 |
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10.2478/fcds-2023-0015 |
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2300-3405 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Heri Iswanto, A., et al. "Design of a Supply Chain-Based Production and Distribution System Based on Multi-Stage Stochastic Programming" Foundations of Computing and Decision Sciences, vol. 48, no. 3, Sciendo, 2023, pp. 357-370. https://doi.org/10.2478/fcds-2023-0015 0867-6356 10.2478/fcds-2023-0015 2300-3405 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/13478 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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Foundations of Computing and Decision Sciences |
| dc.relation.references.none.fl_str_mv |
Albareda-Sambola M., Fernández E., Hinojosa Y., Puerto J., The multi-period incremental service facility location problem, Computers & Operations Research, 36, 5, 2009, 1356-1375. Alumur S.A., Nickel S., Saldanha-da-Gama F., Verter V., Multi-period reverse logistics network design, European Journal of Operational Research, 220, 1, 2012, 67-78. Ambrosino D., Scutella M.G., Distribution network design: New problems and related models, European journal of operational research, 165, 3, 2005, 610-624. Cardoso S.R., Barbosa-Póvoa A.P.F., Relvas S., Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty, European journal of operational research, 226, 3, 2013, 436-451. El-Sayed M., Afia N., El-Kharbotly A., A stochastic model for forward–reverse logistics network design under risk, Computers & Industrial Engineering, 58, 3, 2010, 423-431. Erlenkotter D., A comparative study of approaches to dynamic location problems, European Journal of Operational Research, 6, 2, 1981, 133-143. Gebennini E., Gamberini R., Manzini R., An integrated production–distribution model for the dynamic location and allocation problem with safety stock optimization, International Journal of Production Economics, 122, 1, 2009, 286-304. Goli A., Malmir B., A covering tour approach for disaster relief locating and routing with fuzzy demand, International Journal of Intelligent Transportation Systems Research, 18, 1, 2020, 140-152. Hinojosa Y., Kalcsics J., Nickel S., Puerto J., Velten S., Dynamic supply chain design with inventory, Computers & operations research, 35, 2, 2008, 373-391. Huang K., Ahmed S., The value of multi-stage stochastic programming in capacity planning under uncertainty, Stochastic Programming E-Print Series, 15, 2005, 23-44. Mahar S., Bretthauer K.M., Venkataramanan M.A., An algorithm for solving the multiperiod online fulfillment assignment problem, Mathematical and Computer Modelling, 50, 9, 2009, 1294-1304. Melo M.T., Nickel S., Da Gama F.S., Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning, Computers & Operations Research, 33, 1, 2006, 181-208. Nickel S., Saldanha-da-Gama F., Ziegler H.P., A multi-stage stochastic supply network design problem with financial decisions and risk management, Omega, 40, 5, 2012, 511- 524. Pahlevan S.M., Hosseini S.M.S., Goli A., Sustainable supply chain network design using products’ life cycle in the aluminum industry, Environmental Science and Pollution Research, 2021, 1-25. Paksoy T., Chang C.T., Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in Guerrilla marketing, Applied Mathematical Modelling, 34, 11, 2010, 3586-3598. Pimentel B.S., Mateus G.R., Almeida F.A., Stochastic capacity planning and dynamic network design, International Journal of Production Economics, 145, 1, 2013, 139-149. Sha Y., Huang J., The multi-period location-allocation problem of engineering emergency blood supply systems, Systems Engineering Procedia, 5, 2012, 21-28. Vila D., Martel A., Beauregard R., Designing logistics networks in divergent process industries: a methodology and its application to the lumber industry, International journal of production economics, 102, 2, 2006, 358-378. Nguyen T.K.L., Nguyen X.H., Pham H.V., An application of the negative malmquist model for vietnamese garment and textiles industry, Management Systems in Production Engineering, 30, 1, 2022, 74-79. Nozari H., Ghahremani-Nahr J., Szmelter-Jarosz A., A multi-stage stochastic inventory management model for transport companies including several different transport modes, International Journal of Management Science and Engineering Management, 18, 2, 2023, 134-144. Goldbeck N., Angeloudis P., Ochieng W., Optimal supply chain resilience with consideration of failure propagation and repair logistics, Transportation Research Part E: Logistics and Transportation Review, 133, 2020, 101830. Khalilabadi S.M.G., Zegordi S.H., Nikbakhsh E., A multi-stage stochastic programming approach for supply chain risk mitigation via product substitution, Computers & Industrial Engineering, 149, 2020, 106786. Torkaman S., Ghomi S.F., Karimi B., Hybrid simulated annealing and genetic approach for solving a multi-stage production planning with sequence-dependent setups in a closed-loop supply chain, Applied Soft Computing, 71, 2018, 1085-1104. |
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© 2023 A. Heri Iswanto et al. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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14 páginas |
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Walter de Gruyter GmbH |
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Germany |
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Walter de Gruyter GmbH |
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https://sciendo.com/article/10.2478/fcds-2023-0015 |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2023 A. Heri Iswanto et al.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Heri Iswanto, A.Ibrahim Alazzawi, Fouad JameelGrimaldo Guerrero, John WilliamAl-Ayub Ahmed, AlimChetthamrongchai, PaitoonOleg Vladimirovich, KabanovKadhim, Mustafa M.Abed Jawad, MohammedSurendar, A.2024-10-23T12:23:12Z2024-10-23T12:23:12Z2023-10-04Heri Iswanto, A., et al. "Design of a Supply Chain-Based Production and Distribution System Based on Multi-Stage Stochastic Programming" Foundations of Computing and Decision Sciences, vol. 48, no. 3, Sciendo, 2023, pp. 357-370. https://doi.org/10.2478/fcds-2023-00150867-6356https://hdl.handle.net/11323/1347810.2478/fcds-2023-00152300-3405Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Supply chains are one of the key tools in optimizing production and distribution simultaneously. However, information uncertainty is always a challenge in production and distribution management. The main purpose of this paper is to design a two-echelon supply chain in a multi-cycle state and in conditions of demand uncertainty. The task includes determining the number and location of distribution centers, planning capacity for active distribution centers, and determining the amount of shipments between different levels so that the total costs of the chain are minimized. Uncertainty is applied through discrete scenarios in the model and the problem is formulated by multi-stage stochastic programming method in the form of a mixed integer linear model. The results acquired using two indicators called VMS and VSS demonstrated that modeling the supply chain design problem with the multi-stage stochastic approach can result in significant costs reduction. Plus, utilizing mathematical expectation can generate misleading results, therefore resulting in the development of supply chain designs incapable of satisfying demand due to its overlooked limitations.14 páginasapplication/pdfengWalter de Gruyter GmbHGermanyhttps://sciendo.com/article/10.2478/fcds-2023-0015Design of a supply chain-based production and distribution system based on multi-stage stochastic programmingArtículo 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_970fb48d4fbd8a85Foundations of Computing and Decision SciencesAlbareda-Sambola M., Fernández E., Hinojosa Y., Puerto J., The multi-period incremental service facility location problem, Computers & Operations Research, 36, 5, 2009, 1356-1375.Alumur S.A., Nickel S., Saldanha-da-Gama F., Verter V., Multi-period reverse logistics network design, European Journal of Operational Research, 220, 1, 2012, 67-78.Ambrosino D., Scutella M.G., Distribution network design: New problems and related models, European journal of operational research, 165, 3, 2005, 610-624.Cardoso S.R., Barbosa-Póvoa A.P.F., Relvas S., Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty, European journal of operational research, 226, 3, 2013, 436-451.El-Sayed M., Afia N., El-Kharbotly A., A stochastic model for forward–reverse logistics network design under risk, Computers & Industrial Engineering, 58, 3, 2010, 423-431.Erlenkotter D., A comparative study of approaches to dynamic location problems, European Journal of Operational Research, 6, 2, 1981, 133-143.Gebennini E., Gamberini R., Manzini R., An integrated production–distribution model for the dynamic location and allocation problem with safety stock optimization, International Journal of Production Economics, 122, 1, 2009, 286-304.Goli A., Malmir B., A covering tour approach for disaster relief locating and routing with fuzzy demand, International Journal of Intelligent Transportation Systems Research, 18, 1, 2020, 140-152.Hinojosa Y., Kalcsics J., Nickel S., Puerto J., Velten S., Dynamic supply chain design with inventory, Computers & operations research, 35, 2, 2008, 373-391.Huang K., Ahmed S., The value of multi-stage stochastic programming in capacity planning under uncertainty, Stochastic Programming E-Print Series, 15, 2005, 23-44.Mahar S., Bretthauer K.M., Venkataramanan M.A., An algorithm for solving the multiperiod online fulfillment assignment problem, Mathematical and Computer Modelling, 50, 9, 2009, 1294-1304.Melo M.T., Nickel S., Da Gama F.S., Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning, Computers & Operations Research, 33, 1, 2006, 181-208.Nickel S., Saldanha-da-Gama F., Ziegler H.P., A multi-stage stochastic supply network design problem with financial decisions and risk management, Omega, 40, 5, 2012, 511- 524.Pahlevan S.M., Hosseini S.M.S., Goli A., Sustainable supply chain network design using products’ life cycle in the aluminum industry, Environmental Science and Pollution Research, 2021, 1-25.Paksoy T., Chang C.T., Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in Guerrilla marketing, Applied Mathematical Modelling, 34, 11, 2010, 3586-3598.Pimentel B.S., Mateus G.R., Almeida F.A., Stochastic capacity planning and dynamic network design, International Journal of Production Economics, 145, 1, 2013, 139-149.Sha Y., Huang J., The multi-period location-allocation problem of engineering emergency blood supply systems, Systems Engineering Procedia, 5, 2012, 21-28.Vila D., Martel A., Beauregard R., Designing logistics networks in divergent process industries: a methodology and its application to the lumber industry, International journal of production economics, 102, 2, 2006, 358-378.Nguyen T.K.L., Nguyen X.H., Pham H.V., An application of the negative malmquist model for vietnamese garment and textiles industry, Management Systems in Production Engineering, 30, 1, 2022, 74-79.Nozari H., Ghahremani-Nahr J., Szmelter-Jarosz A., A multi-stage stochastic inventory management model for transport companies including several different transport modes, International Journal of Management Science and Engineering Management, 18, 2, 2023, 134-144.Goldbeck N., Angeloudis P., Ochieng W., Optimal supply chain resilience with consideration of failure propagation and repair logistics, Transportation Research Part E: Logistics and Transportation Review, 133, 2020, 101830.Khalilabadi S.M.G., Zegordi S.H., Nikbakhsh E., A multi-stage stochastic programming approach for supply chain risk mitigation via product substitution, Computers & Industrial Engineering, 149, 2020, 106786.Torkaman S., Ghomi S.F., Karimi B., Hybrid simulated annealing and genetic approach for solving a multi-stage production planning with sequence-dependent setups in a closed-loop supply chain, Applied Soft Computing, 71, 2018, 1085-1104.370357348Demand uncertaintyLocationCapacity planningMulti-stage stochastic programmingProduction and distributionPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.cuc.edu.co/bitstreams/70b94bc3-3a9e-413e-a543-780c7d19ea33/download73a5432e0b76442b22b026844140d683MD51ORIGINALDesign of a Supply Chain-Based Production and Distribution.pdfDesign of a Supply Chain-Based Production and Distribution.pdfapplication/pdf574024https://repositorio.cuc.edu.co/bitstreams/c4096de3-c906-4bf4-ad9a-bf6d59c98c3f/download6e7ca74ed6e69a5b7ab7dbbbf227c54dMD52TEXTDesign of a Supply Chain-Based Production and Distribution.pdf.txtDesign of a Supply Chain-Based Production and Distribution.pdf.txtExtracted 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Heri Iswanto et al.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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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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