Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas
CD-T 662.88 V58; 75 p
- Autores:
-
Vera Jaramillo, Yazmín Andrea
Marín Arcila, Cristhian Felipe
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2018
- Institución:
- Universidad Libre
- Repositorio:
- RIU - Repositorio Institucional UniLibre
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unilibre.edu.co:10901/17158
- Acceso en línea:
- https://hdl.handle.net/10901/17158
- Palabra clave:
- Energía biomásica
Bioetanol
Cadena de suministro
Cultivos energéticos
Productos de residuos como combustibles
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
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dc.title.es_CO.fl_str_mv |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
title |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
spellingShingle |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas Energía biomásica Bioetanol Cadena de suministro Cultivos energéticos Productos de residuos como combustibles |
title_short |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
title_full |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
title_fullStr |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
title_full_unstemmed |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
title_sort |
Diseño de una cadena de suministro de biocombustible integrando decisiones estratégicas y tácticas |
dc.creator.fl_str_mv |
Vera Jaramillo, Yazmín Andrea Marín Arcila, Cristhian Felipe |
dc.contributor.author.none.fl_str_mv |
Vera Jaramillo, Yazmín Andrea Marín Arcila, Cristhian Felipe |
dc.subject.proposal.es_CO.fl_str_mv |
Energía biomásica Bioetanol Cadena de suministro Cultivos energéticos Productos de residuos como combustibles |
topic |
Energía biomásica Bioetanol Cadena de suministro Cultivos energéticos Productos de residuos como combustibles |
description |
CD-T 662.88 V58; 75 p |
publishDate |
2018 |
dc.date.issued.none.fl_str_mv |
2018-04-10 |
dc.date.accessioned.none.fl_str_mv |
2019-04-10T13:49:29Z 2019-10-04T15:33:37Z |
dc.date.available.none.fl_str_mv |
2019-04-10T13:49:29Z 2019-10-04T15:33:37Z |
dc.type.local.spa.fl_str_mv |
Tesis de Pregrado |
dc.type.coar.SPA.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
http://purl.org/coar/resource_type/c_7a1f |
dc.identifier.citation.es_CO.fl_str_mv |
Tesis Ingeniería Comercial |
dc.identifier.other.none.fl_str_mv |
CD6100 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10901/17158 |
identifier_str_mv |
Tesis Ingeniería Comercial CD6100 |
url |
https://hdl.handle.net/10901/17158 |
dc.language.iso.es_CO.fl_str_mv |
spa |
language |
spa |
dc.relation.ispartofseries.none.fl_str_mv |
CD-T 662.88 V58;75 p |
dc.relation.references.ENG.fl_str_mv |
Ahmadi-Javid, A., & Seddighi, A. H. (2012). A location-routing-inventory model for designing multisource distribution networks. Engineering Optimization, 44(6), 637–656. https://doi.org/10.1080/0305215X.2011.600756 Ahmadzadeh, E., & Vahdani, B. (2017). A location-inventory-pricing model in a closed loop supply chain network with correlated demands and shortages under a periodic review system. Computers & Chemical Engineering, 101, 148–166. https://doi.org/10.1016/j.compchemeng.2017.02.027 Akgul, O., Shah, N., & Papageorgiou, L. G. (2012). Economic optimisation of a UK advanced biofuel supply chain. Biomass and Bioenergy, 41, 57–72. https://doi.org/10.1016/j.biombioe.2012.01.040 Bairamzadeh, S., Pishvaee, M. S., & Saidi-Mehrabad, M. (2016). Multiobjective Robust Possibilistic Programming Approach to Sustainable Bioethanol Supply Chain Design under Multiple Uncertainties. Industrial and Engineering Chemistry Research, 55(1). https://doi.org/10.1021/acs.iecr.5b02875 Barbosa-Póvoa, A. P. (2012). Progresses and challenges in process industry supply chains optimization. Current Opinion in Chemical Engineering, 1(4), 446–452. https://doi.org/10.1016/j.coche.2012.09.006 Biajoli, F. L., Chaves, A. A., Antonio, L., & Lorena, N. (2019). A biased random-key genetic algorithm for the two-stage capacitated facility location problem, 115, 418–426. https://doi.org/10.1016/j.eswa.2018.08.024 Boloori Arabani, A., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers and Industrial Engineering, 62(1), 408–420. https://doi.org/10.1016/j.cie.2011.09.018 Cavallaro, C. M., Pearce, J. M., & Sidortsov, R. (2018). Decarbonizing the boardroom? Aligning electric utility executive compensation with climate change incentives. Energy Research and Social Science, 37(September 2017), 153–162. https://doi.org/10.1016/j.erss.2017.09.036 Cenicafé. (2016). Manejo de Subproductos. Recuperado a partir de https://www.cenicafe.org/es/index.php/cultivemos_cafe/manejo_de_subproductos Chen, C. W., & Fan, Y. (2012). Bioethanol supply chain system planning under supply and demand uncertainties. Transportation Research Part E: Logistics and Transportation Review, 48(1), 150– 164. https://doi.org/10.1016/j.tre.2011.08.004 Chen, L., Olhager, J., & Tang, O. (2014). Manufacturing facility location and sustainability: A literature review and research agenda. International Journal of Production Economics, 149, 154–163. https://doi.org/10.1016/j.ijpe.2013.05.013 Choi, I. S., Wi, S. G., Kim, S. B., & Bae, H. J. (2012). Conversion of coffee residue waste into bioethanol with using popping pretreatment. Bioresource Technology, 125, 132–137. https://doi.org/10.1016/j.biortech.2012.08.080 Darvish, M., & Coelho, L. C. (2018). Sequential versus integrated optimization: Production, location, inventory control, and distribution. European Journal of Operational Research, 268(1), 203– 214. https://doi.org/10.1016/j.ejor.2018.01.028 Deng, S., Li, Y., Guo, H., & Liu, B. (2016). Solving a Closed-Loop Location-Inventory-Routing Problem with Mixed Quality Defects Returns in E-Commerce by Hybrid Ant Colony Optimization Algorithm. Discrete Dynamics in Nature and Society, 2016. https://doi.org/10.1155/2016/6467812 Diabat, A., Battaïa, O., & Nazzal, D. (2015). An improved Lagrangian relaxation-based heuristic for a joint location-inventory problem. Computers and Operations Research, 61, 170–178. https://doi.org/10.1016/j.cor.2014.03.006 Duan, L., & Ventura, J. A. (2018). A Dynamic Supplier Selection and Inventory Management Model for a Serial Supply Chain with a Novel Supplier Price Break Scheme and Flexible Time Periods. European Journal of Operational Research, 272(3), 979–998. https://doi.org/10.1016/j.ejor.2018.07.031 Ekşioğlu, S. D., Acharya, A., Leightley, L. E., & Arora, S. (2009). 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A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm. Expert Systems with Applications, 116, 454–471. 61 https://doi.org/https://doi.org/10.1016/j.eswa.2018.09.027 Ghorbani, A., & Akbari Jokar, M. R. (2016). A hybrid imperialist competitive-simulated annealing algorithm for a multisource multi-product location-routing-inventory problem. Computers and Industrial Engineering, 101, 116–127. https://doi.org/10.1016/j.cie.2016.08.027 González-González, L. M., Correa, D. F., Ryan, S., Jensen, P. D., Pratt, S., & Schenk, P. M. (2018). Integrated biodiesel and biogas production from microalgae: Towards a sustainable closed loop through nutrient recycling. Renewable and Sustainable Energy Reviews, 82(September 2017), 1137–1148. https://doi.org/10.1016/j.rser.2017.09.091 Guerrero, W. J., Prodhon, C., Velasco, N., & Amaya, C. A. (2015). A relax-and-price heuristic for the inventory-location-routing problem. 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A genetic algorithm approach for location-inventoryrouting problem with perishable products. Journal of Manufacturing Systems, 42, 93–103. https://doi.org/10.1016/j.jmsy.2016.10.004 Isikgor, F. H., & Becer, C. R. (2015). Lignocellulosic biomass: a sustainable platform for the production of bio-based chemicals and polymers. Polym. Chem., 6(25), 4497–4559. https://doi.org/10.1039/C5PY00263J Jerbia, R., Boujelben, M. K., Sehli, M. A., & Jemai, Z. (2018). A stochastic closed-loop supply chain network design problem with multiple recovery options. Computers & Industrial Engineering, 118(June 2017), 23–32. https://doi.org/10.1016/j.cie.2018.02.011 Kim, H. M., Choi, Y. S., Lee, D. S., Kim, Y. H., & Bae, H. J. (2017). Production of bio-sugar and bioethanol from coffee residue (CR) by acid-chlorite pretreatment. Bioresource Technology, 236, 194–201. https://doi.org/10.1016/j.biortech.2017.03.143 Lerhlaly, S., Lebbar, M., Allaoui, H., Afifi, S., & Ouazar, D. (2017). An inventory location routing model with environmental considerations. MATEC Web of Conferences, 00002, 0–3. https://doi.org/10.1051/matecconf/201710500002 Lin, T., Rodríguez, L. F., Shastri, Y. N., Hansen, A. C., & Ting, K. C. (2014). Integrated strategic and tactical biomass-biofuel supply chain optimization. Bioresource Technology, 156, 256–266. 62 https://doi.org/10.1016/j.biortech.2013.12.121 Liu, B., Chen, H., Li, Y., & Liu, X. (2015). A pseudo-parallel genetic algorithm integrating simulated annealing for stochastic location-inventory-routing problem with consideration of returns in ecommerce. Discrete Dynamics in Nature and Society, 2015. https://doi.org/10.1155/2015/586581 Melo, M. T., Nickel, S., & Saldanha-da-Gama, F. (2009). Facility location and supply chain management - A review. European Journal of Operational Research, 196(2), 401–412. https://doi.org/10.1016/j.ejor.2008.05.007 Mirhashemi, M. S., Mohseni, S., Hasanzadeh, M., & Pishvaee, M. S. (2018). 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Annals of Operations Research, 83–106. Recuperado a partir de https://link-springercom.ezproxy.unal.edu.co/article/10.1023%2FA%3A1020763400324 Tang, J., Ji, S., & Jiang, L. (2016). The design of a sustainable location-routing-inventory model considering consumer environmental behavior. Sustainability (Switzerland), 8(3). https://doi.org/10.3390/su8030211 Toogood, H. S., & Scrutton, N. S. (2018). Retooling microorganisms for the fermentative production of alcohols. Current Opinion in Biotechnology, 50, 1–10. https://doi.org/10.1016/j.copbio.2017.08.010 Vahdani, B., Soltani, M., Yazdani, M., & Meysam Mousavi, S. (2017). A three level joint locationinventory problem with correlated demand, shortages and periodic review system: Robust meta-heuristics. Computers & Industrial Engineering, 109, 113–129. https://doi.org/10.1016/j.cie.2017.04.041 Vanajakumari, M., Kumar, S., & Gupta, S. (2016). An integrated logistic model for predictable disasters. Production and Operations Management, 25(5), 791–811. https://doi.org/10.1111/poms.12533 Xu, K., Lv, B., Huo, Y. X., & Li, C. (2018). Toward the lowest energy consumption and emission in biofuel production: combination of ideal reactors and robust hosts. Current Opinion in Biotechnology, 50, 19–24. https://doi.org/10.1016/j.copbio.2017.08.011 You, F., Tao, L., Graziano, D. J., & Snyder, S. W. (2012). Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input-output analysis. AIChE Journal, 58(4). https://doi.org/10.1002/aic.12637 Yuchi, Q., He, Z., Yang, Z., & Wang, N. (2016). A Location-Inventory-Routing Problem in Forward and Reverse Logistics Network Design. Discrete Dynamics in Nature and Society, 2016. https://doi.org/10.1155/2016/3475369 Zhalechian, M., Tavakkoli-Moghaddam, R., Zahiri, B., & Mohammadi, M. (2016). Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transportation Research Part E: Logistics and Transportation Review, 89, 182–214. https://doi.org/10.1016/j.tre.2016.02.011 |
dc.relation.references.SPA.fl_str_mv |
B. Field, C., R. Barros, V., Jon Dokken, D., J. Mach, K., & D. Mastrandrea, M. (2014). Cambio Climático 2014. Quinto Informe de Evaluación del Grupo Intergubernamental de Expertos sobre el Cambio Climático. Recuperado a partir de https://www.ipcc.ch/pdf/assessmentreport/ar5/wg2/ar5_wgII_spm_es.pdf Castillo Duarte, A. (2017). Análisis Técnico Y Económico Para El Diseño Preliminar De 3 Plantas De Producción De Biocombustibles A Partir De Residuos De Café. FNC. (2018a). Café y Medio Ambiente. Recuperado a partir de http://www.cafedecolombia.com/particulares/es/sobre_el_cafe/mucho_mas_que_una_bebid a/cafe_y_medio_ambiente/ FNC. (2018b). Nuestras Regiones cafeteras. Recuperado a partir de http://www.cafedecolombia.com/particulares/es/la_tierra_del_cafe/regiones_cafeteras/ ICO. (2018). Informe del mercado de café - mayo, 3. Recuperado a partir de http://www.ico.org/documents/cy2017-18/cmr-0518-c.pdf Rodríguez Valencia, N., & Zambrano Franco, D. (2010). Los subproductos del café: fuente de energía renovable. Avances Técnicos Cenicafé, (3), 8. https://doi.org/ISSN-0120-0178 |
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Vera Jaramillo, Yazmín AndreaMarín Arcila, Cristhian FelipePereira2019-04-10T13:49:29Z2019-10-04T15:33:37Z2019-04-10T13:49:29Z2019-10-04T15:33:37Z2018-04-10Tesis Ingeniería ComercialCD6100https://hdl.handle.net/10901/17158CD-T 662.88 V58; 75 pEl objetivo de esta investigación es el diseño de una cadena de suministro de biocombustible, que integre decisiones de instalaciones e inventario, en busca de la maximización del valor presente neto (VPN) del sistema. Un modelo de Programación Linea Entera Mixta (PLEM) determina la capacidad y ubicación de centros de acopio y biorefinerías, además de los flujos a lo largo de la cadena.Universidad Libre Seccional Pereiraapplication/pdfspaUniversidad Libre Seccional PereiraCD-T 662.88 V58;75 pAhmadi-Javid, A., & Seddighi, A. H. (2012). A location-routing-inventory model for designing multisource distribution networks. Engineering Optimization, 44(6), 637–656. https://doi.org/10.1080/0305215X.2011.600756Ahmadzadeh, E., & Vahdani, B. (2017). A location-inventory-pricing model in a closed loop supply chain network with correlated demands and shortages under a periodic review system. Computers & Chemical Engineering, 101, 148–166. https://doi.org/10.1016/j.compchemeng.2017.02.027Akgul, O., Shah, N., & Papageorgiou, L. G. (2012). Economic optimisation of a UK advanced biofuel supply chain. Biomass and Bioenergy, 41, 57–72. https://doi.org/10.1016/j.biombioe.2012.01.040Bairamzadeh, S., Pishvaee, M. S., & Saidi-Mehrabad, M. (2016). Multiobjective Robust Possibilistic Programming Approach to Sustainable Bioethanol Supply Chain Design under Multiple Uncertainties. Industrial and Engineering Chemistry Research, 55(1). https://doi.org/10.1021/acs.iecr.5b02875Barbosa-Póvoa, A. P. (2012). Progresses and challenges in process industry supply chains optimization. Current Opinion in Chemical Engineering, 1(4), 446–452. https://doi.org/10.1016/j.coche.2012.09.006Biajoli, F. L., Chaves, A. A., Antonio, L., & Lorena, N. (2019). 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