Collaborative Model on the Agro-Industrial Supply Chain of Cocoa

Due to globalization and extreme competition in today’s economy, knowledge management that is a systematic management of industries’ knowledge assets for creating value and strategies of the organization plays an important role in finding out new strategies in the supply chain for interacting and sa...

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Autores:
Tipo de recurso:
Fecha de publicación:
2017
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8931
Acceso en línea:
https://hdl.handle.net/20.500.12585/8931
Palabra clave:
Collaborative planning
Programming bi-level
Shapley
Supply chain
Game theory
Java programming language
Knowledge management
Optimization
Profitability
Supply chains
Bi-level optimization
Bi-level optimization models
Collaborative model
Collaborative planning
Collaborative systems
Industrial supply chains
Shapley
Systematic management
Competition
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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network_acronym_str UTB2
network_name_str Repositorio Institucional UTB
repository_id_str
dc.title.none.fl_str_mv Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
title Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
spellingShingle Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
Collaborative planning
Programming bi-level
Shapley
Supply chain
Game theory
Java programming language
Knowledge management
Optimization
Profitability
Supply chains
Bi-level optimization
Bi-level optimization models
Collaborative model
Collaborative planning
Collaborative systems
Industrial supply chains
Shapley
Systematic management
Competition
title_short Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
title_full Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
title_fullStr Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
title_full_unstemmed Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
title_sort Collaborative Model on the Agro-Industrial Supply Chain of Cocoa
dc.subject.keywords.none.fl_str_mv Collaborative planning
Programming bi-level
Shapley
Supply chain
Game theory
Java programming language
Knowledge management
Optimization
Profitability
Supply chains
Bi-level optimization
Bi-level optimization models
Collaborative model
Collaborative planning
Collaborative systems
Industrial supply chains
Shapley
Systematic management
Competition
topic Collaborative planning
Programming bi-level
Shapley
Supply chain
Game theory
Java programming language
Knowledge management
Optimization
Profitability
Supply chains
Bi-level optimization
Bi-level optimization models
Collaborative model
Collaborative planning
Collaborative systems
Industrial supply chains
Shapley
Systematic management
Competition
description Due to globalization and extreme competition in today’s economy, knowledge management that is a systematic management of industries’ knowledge assets for creating value and strategies of the organization plays an important role in finding out new strategies in the supply chain for interacting and satisfying the customers’ demand. Consequently, the current business models are continuously developing, incorporating new trends, new industrial areas, and even new models. In this paper, the authors propose a bi-level optimization model for producer and collection centers to achieve maximum profits of the channel members. In bi-level optimization, collection points are the leaders, and producers are the followers of the strategies taken by the collection points. The profits of the channel members are maximized using General Algebraic Modeling System software. Moreover, Shapley value of game theory approach is applied for coalition of the members in collaborative system, and it is compared with bi-level optimization based on data collected from agro-industry of cocoa. The best way to distribute the profits among the participants is determined by using Microsoft Excel and Java as a programming language. The final results indicate that higher profits are obtained in a collaborative system than in an individual system. © 2017 Taylor & Francis Group, LLC.
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2020-03-26T16:32:37Z
dc.date.available.none.fl_str_mv 2020-03-26T16:32:37Z
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dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.type.hasversion.none.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.spa.none.fl_str_mv Artículo
status_str publishedVersion
dc.identifier.citation.none.fl_str_mv Cybernetics and Systems; Vol. 48, Núm. 4; pp. 325-347
dc.identifier.issn.none.fl_str_mv 01969722
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/8931
dc.identifier.doi.none.fl_str_mv 10.1080/01969722.2017.1285160
dc.identifier.instname.none.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.none.fl_str_mv Repositorio UTB
dc.identifier.orcid.none.fl_str_mv 15078194000
57193094721
57193533853
identifier_str_mv Cybernetics and Systems; Vol. 48, Núm. 4; pp. 325-347
01969722
10.1080/01969722.2017.1285160
Universidad Tecnológica de Bolívar
Repositorio UTB
15078194000
57193094721
57193533853
url https://hdl.handle.net/20.500.12585/8931
dc.language.iso.none.fl_str_mv eng
language eng
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dc.rights.cc.none.fl_str_mv Atribución-NoComercial 4.0 Internacional
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Atribución-NoComercial 4.0 Internacional
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dc.format.medium.none.fl_str_mv Recurso electrónico
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dc.publisher.none.fl_str_mv Taylor and Francis Inc.
publisher.none.fl_str_mv Taylor and Francis Inc.
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institution Universidad Tecnológica de Bolívar
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spelling 2020-03-26T16:32:37Z2020-03-26T16:32:37Z2017Cybernetics and Systems; Vol. 48, Núm. 4; pp. 325-34701969722https://hdl.handle.net/20.500.12585/893110.1080/01969722.2017.1285160Universidad Tecnológica de BolívarRepositorio UTB150781940005719309472157193533853Due to globalization and extreme competition in today’s economy, knowledge management that is a systematic management of industries’ knowledge assets for creating value and strategies of the organization plays an important role in finding out new strategies in the supply chain for interacting and satisfying the customers’ demand. Consequently, the current business models are continuously developing, incorporating new trends, new industrial areas, and even new models. In this paper, the authors propose a bi-level optimization model for producer and collection centers to achieve maximum profits of the channel members. In bi-level optimization, collection points are the leaders, and producers are the followers of the strategies taken by the collection points. The profits of the channel members are maximized using General Algebraic Modeling System software. Moreover, Shapley value of game theory approach is applied for coalition of the members in collaborative system, and it is compared with bi-level optimization based on data collected from agro-industry of cocoa. The best way to distribute the profits among the participants is determined by using Microsoft Excel and Java as a programming language. The final results indicate that higher profits are obtained in a collaborative system than in an individual system. © 2017 Taylor & Francis Group, LLC.Recurso electrónicoapplication/pdfengTaylor and Francis Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85014723713&doi=10.1080%2f01969722.2017.1285160&partnerID=40&md5=80b7b9f8e49680749180bc211c59ff21Collaborative Model on the Agro-Industrial Supply Chain of Cocoainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Collaborative planningProgramming bi-levelShapleySupply chainGame theoryJava programming languageKnowledge managementOptimizationProfitabilitySupply chainsBi-level optimizationBi-level optimization modelsCollaborative modelCollaborative planningCollaborative systemsIndustrial supply chainsShapleySystematic managementCompetitionSana S.S.Herrera Vidal, GermánAcevedo Chedid, JaimeAlarcon, F., Lario, F., Boza, A., Pérez, D., (2007), Propuesta de Marco conceptual para el modelado Del proceso de Planificación Colaborativa de Operaciones en contextos de Redes de Suministro/Distribución (RdS/D), en Congreso de Ingeniera de Organización, XI ed., MadridAlbizuri, M.J., Echarri, J.M., Zarzuelo, J.M., A non-cooperative mechanism for the Shapley value of airport problems (2015) Annals of Operations Research, 235, pp. 1-11Alfonso, E., Kalenatic, D., Lopez, C., Modeling the synergy level in a vertical collaborative supply chain through the IMP interaction model and DEA framework (2010) Annals of Operations Research, 181, pp. 813-827Andjiga, N.G., Courtin, S., Coalition configurations and share functions (2015) Annals of Operations Research, 225, pp. 3-25Baniak, A., Dubina, I., Innovation analysis and game theory: A review (2012) Innovation, Management, Policy & Practice, 14, pp. 178-191Bard, J., An efficient point algorithm for a linear two-stage optimization problem (1983) Operations Research, 31, pp. 670-684Bard, J., Convex two-level optimization mathematical programming (1988) Mathematical Programming, 40, pp. 15-27Barratt, M., Understanding the meaning of collaboration in the supply chain (2004) Supply Chain Management: An International Journal, 9, pp. 30-42Beamon, B., Supply chain design and analysis: Models and methods (1998) International Journal of Production Economics, 55, pp. 281-294Beamon, B., Measuring supply chain performance (1999) International Journal of Operations & Production Management, 9, pp. 275-292Bilbao, J.M., Fernandez, J.R., Jimenez, N., Lopez, J.J., The Shapley value for bicooperative games (2008) Annals of Operations Research, 158, pp. 99-115Cao, M., Vonderembse, M., Zhang, Q., Ragu-Nathan, T., Supply chain collaboration: Conceptualization and instrument development (2010) International Journal of Production Research, 48, pp. 6613-6635Cardenas-Barron, L.E., Trevino-Garza, G., An optimal solution to a three echelon supply chain network with multi-product and multi-period (2014) Applied Mathematical Modelling, 38, pp. 1911-1918Castellanos, O., Correa, Z., Contreras, C., Fonseca, S., Arraut, L., (2011) Balance Tecnológico de la cadena productiva y agroindustrial del cacao, Ministerio de Agricultura y Desarrollo Rural, , Bogotá, Colombia: Universidad Nacional de ColombiaChandra, C., Tumanyan, A., Organization and problem ontology for supply chain information support system (2007) Data & Knowledge Engineering, 61, pp. 263-280Chandra, K., Kumar, S., Supply chain management in theory and practice: A passing fad or a fundamental change (2000) Industrial Management & Data Systems, 100, pp. 100-114Chen, Y., Liang, L., Yang, F., A DEA game model approach to supply chain efficiency (2006) Annals of Operations Research, 145, pp. 5-13Chiu, C.H., Choi, T.M., Supply chain risk analysis with mean-variance models: A technical review (2016) Annals of Operations Research, 240, pp. 489-507Chopra, S., (2009) Supply chain management, , 3rd ed., Uttar Pradesh, India: Pearson EducationCompanys, R., (2005) Diseño de sistemas productivos y logísticos, , Barcelona, Spain: EPSEB-UPCEsmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., Mo, J., A tactical supply chain planning model with multiple flexibility options: An empirical evaluation (2016) Annals of Operations Research, 244, pp. 429-454Forrester, J., (1961) Industrial dynamics, , Portland, OR: Productivity PressGibbons, R., (1992) A primer in game theory, , Prentice Hall/Harvester Wheat SheafGreenberg, H.J., (2001), http://www.cudenver.edu/hgreenbe/glossary/intro.html, Mathematical programming glossaryGomesa, A., Pinto, T., Barbosa, A., Multimodal green food supply chain design and planning under uncertainty (2016) Computer Aided Chemical Engineering, 38, pp. 181-186Guzmán, L., Ramírez, D., Yie, R., Acero, K., Ucrós, M., Paternina, C., (2008), Modelos de planificación cooperativa de recursos energéticos. Cartagena, Colombia: Universidad del NorteHerrera, G., Acevedo, J., (2014), http://www.laccei.org/LACCEI2014-Guayaquil/RefereedPapers/RP015.pdf, Análisis del Problema de Planificación de la Producción en Cadenas de Suministro Colaborativas: Una Revisión de la Literatura en el Enfoque de Teoría de Juegos. Paper presented at the Latin American and Caribbean Conference for Engineering and Technology, LACCEI, Ecuador. 2014Jorgensen, S., Optimal production, purchasing and pricing: A differential game approach (1986) European Journal of Operational Research, 24, pp. 64-76Kuhn, H., Tucker, W., Nonlinear programming (1951) Proceedings of the Second Berkeley Symposium, 1, pp. 481-492Kuk, G., Effectiveness of vendor-managed inventory in the electronics industry: Determinants and outcomes (2004) Information & Management, 41, pp. 645-654Kumar, K., Technologies for supporting supply chain management (2001) Communications of the ACM, 44, pp. 58-61Lalmazloumian, M., Kuan, W., Kannan, G., A robust optimization model for agile and build-to-order supply chain planning under uncertainties (2016) Annals of Operations Research, 240, pp. 435-470Lambert, D., Martha, C., Janus, D., Supply chain management: Implementation issues and research opportunities (1989) The International Journal of Logistics Management, 9, pp. 1-20Lee, H., Billington, C., Material management in decentralized supply chains (1993) Operations Research, 41, pp. 835-847Li, X., Game theory analysis of supply chain coalition knowledge sharing (2012) China Business Marketing, 19, pp. 46-50Min, S., Mentzer, J., The role of marketing in supply chain management (2000) International Journal of Physical Distribution & Logistics Management, 30, pp. 765-787Min, S., Roath, A., Daugherty, P., Genchev, S., Chen, H., Arndt, A., Richey, G., Supply chain collaboration: What’s happening? (2005) International Journal of Logistics Management, 16, pp. 237-256Mishra, S., Ghosh, A., Interactive fuzzy programming approach to bi-level quadratic fractional programming problems (2006) Annals of Operations Research, 143, pp. 251-263Nash, J., The bargaining problem (1950) Econometrica, 18, pp. 155-162Ortiz, A., Lario, F., Ros, L., Hawa, M., Building a production planning process with an approach based on CIMOSA and workflow management systems (1999) Computers in Industry, 40, pp. 207-219Panda, S., Coordinating a manufacturer retailer chain under time and price dependent demand rate (2013) International Journal of Management Science and Engineering Management, 8, pp. 84-92Panda, S., Coordination of a socially responsible supply chain using revenue sharing contract (2014) Transportation Research Part E: Logistics and Transportation Review, 67, pp. 92-104Panda, S., Modak, N.M., Basu, M., Goyal, S.K., Channel coordination and profit distribution in a social responsible three-layer supply chain (2015) International Journal of Production Economics, 168, pp. 224-233Puerto, J., Fernandez, F.R., Hinojosa, Y., Partially ordered cooperative games: Extended core and Shapley value (2008) Annals of Operations Research, 158, pp. 143-159Sarkar, B., A production-inventory model with probabilistic deterioration in two-echelon supply chain management (2013) Applied Mathematical Modelling, 37, pp. 3138-3151Shapley, L., A value for n-person games (1953) Contributions to the theory of games II, pp. 307-317. , Kuhn W., Tucker W., (eds), Princeton, NJ: Princeton University PressStadtler, H., Supply chain management and advanced planning -basics, overview and challenges (2005) European Journal of Operational Research, 163, pp. 575-588Stank, T.P., Keller, S.B., Daugherty, J.P., Supply chain collaboration and logistical service performance (2001) Journal of Business Logistics, 22, pp. 29-48Stevens, G., Integrating the supply chain (1989) International Journal of Physical Distribution & Materials Management, 19, pp. 3-8Wang, Q., Parlar, M., Static game theory models and their applications in management science (1989) European Journal of Operational Research, 42, pp. 1-21Wong, W.P., Wong, K.Y., Supply chain management, knowledge management capability, and their linkages towards firm performance (2011) Business Process Management Journal, 17, pp. 940-964Yan, M., Ding, J., (2015), The knowledge sharing model for logistics coalition based on evolutionary game theory. LISS 2013. In Proceedings of 3rd International Conference on Logistics, Informatics and Service Science, 601–07. Berlin-Heidelberg: Springer-Verlaghttp://purl.org/coar/resource_type/c_6501THUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8931/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8931oai:repositorio.utb.edu.co:20.500.12585/89312023-05-26 13:11:29.757Repositorio Institucional UTBrepositorioutb@utb.edu.co