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of 6
pro vyhledávání: '"Administración de la cadena de abastecimiento"'
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 60, Pp 102-117 (2011)
Este artículo presenta un modelo de programación matemática NLMIP de un periodo simple para una cadena de abastecimiento de 5 etapas con múltiples posibilidades organizacionales de propiedad en los canales de distribución. El objetivo del modelo
Externí odkaz:
https://doaj.org/article/95d6a125d64645e9ad2b18dab06268eb
Autor:
Ardila Gamboa, César David
Publikováno v:
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Agrawal, S., Singh, R. K., & Murtaza, Q. (2016a). Outsourcing decisions in reverse logistics: sustainable balanced scorecard and graph theoretic approach. Resources, Conservation and Recycling, 108, 41-53.
Agrawal, S., Singh, R. K., & Murtaza, Q. (2016b). Disposition decisions in reverse logistics: Graph theory and matrix approach. Journal of Cleaner Production, 137, 93-104.
Alshamsi, A., & Diabat, A. (2015). A reverse logistics network design. Journal of Manufacturing Systems, 37(3), 589-598.
Bahiraei N., Panjehfouladgaran H. &Yusuff R. M. (2015) Ranking of critical success factors in reverse logistics by TOPSIS. Industrial Engineering and Operations Management (IEOM) International Conference. 1-5.
Bahl, H., Ritzman, L., & Jatinder N. D. Gupta. (1987). Determining Lot Sizes and Resource Requirements: A Review. Operations Research, 35(3), 329-345.
Bansia, M., Varkey, J. K., & Agrawal, S. (2014). Development of a Reverse Logistics Performance Measurement System for a battery manufacturer. Procedia Materials Science, 6, 1419-1427.
Battini, D., Bogataj, M., & Choudhary, A. (2017). Closed Loop Supply Chain (CLSC): Economics, Modelling, Management and Control. Journal of Production Economics. Special Issue. 319-321.
Bazan, E., Jaber, M. Y., & Zanoni, S. (2016). A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective. Applied Mathematical Modelling, 40(5), 4151-4178.
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Botha, A., Grobler, J., & Yadavalli, V. S. (2017). System dynamics comparison of three inventory management models in an automotive parts supply chain. Journal of Transport and Supply Chain Management, 11(1), 1-12.
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Chang Q. Q. & Zheng H. Z. (2014). An effective strategy for non-defective reverse logistics. Information and Automation (ICIA) IEEE International Conference.1273-1277.
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De Giovanni, P. (2016). State-and control-dependent incentives in a closed-loop supply chain with dynamic returns. Dynamic Games and Applications, 6(1), 20-54.
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Agrawal, S., Singh, R. K., & Murtaza, Q. (2016b). Disposition decisions in reverse logistics: Graph theory and matrix approach. Journal of Cleaner Production, 137, 93-104.
Alshamsi, A., & Diabat, A. (2015). A reverse logistics network design. Journal of Manufacturing Systems, 37(3), 589-598.
Bahiraei N., Panjehfouladgaran H. &Yusuff R. M. (2015) Ranking of critical success factors in reverse logistics by TOPSIS. Industrial Engineering and Operations Management (IEOM) International Conference. 1-5.
Bahl, H., Ritzman, L., & Jatinder N. D. Gupta. (1987). Determining Lot Sizes and Resource Requirements: A Review. Operations Research, 35(3), 329-345.
Bansia, M., Varkey, J. K., & Agrawal, S. (2014). Development of a Reverse Logistics Performance Measurement System for a battery manufacturer. Procedia Materials Science, 6, 1419-1427.
Battini, D., Bogataj, M., & Choudhary, A. (2017). Closed Loop Supply Chain (CLSC): Economics, Modelling, Management and Control. Journal of Production Economics. Special Issue. 319-321.
Bazan, E., Jaber, M. Y., & Zanoni, S. (2016). A review of mathematical inventory models for reverse logistics and the future of its modeling: An environmental perspective. Applied Mathematical Modelling, 40(5), 4151-4178.
Bhattacharjee, S., & Cruz, J. (2015). Economic sustainability of closed loop supply chains: A holistic model for decision and policy analysis. Decision Support Systems, 77, 67-86.
Bhattacharya, R., & Kaur, A. (2015). Allocation of external returns of different quality grades to multiple stages of a closed loop supply chain. Journal of Manufacturing Systems, 37, 692-702.
Botha, A., Grobler, J., & Yadavalli, V. S. (2017). System dynamics comparison of three inventory management models in an automotive parts supply chain. Journal of Transport and Supply Chain Management, 11(1), 1-12.
Bottani, E., Montanari, R., Rinaldi, M., & Vignali, G. (2015). Modeling and multi-objective optimization of closed loop supply chains: a case study. Computers & Industrial Engineering, 87, 328-342.
Boussellaa, A., & Abed, M. (2016). Object-oriented modeling and design of reverse logistics management system using UML. In Smart Cities and Green ICT Systems (SMARTGREENS), 2016 5th International Conference on (pp. 1-8). IEEE.
Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299-312.
Brandenburg, M., & Rebs, T. (2015). Sustainable supply chain management: A modeling perspective. Annals of Operations Research, 229(1), 213-252
Butzer, S., Schötz, S., Petroschke, M., & Steinhilper, R. (2017). Development of a Performance Measurement System for Int. Reverse Supply Chains. Procedia CIRP, 61, 251-256.
Cabral, J. D. D., & de Araújo, S. A. (2015). An intelligent vision system for detecting defects in glass products for packaging and domestic use. The International Journal of Advanced Manufacturing Technology, 77(1-4), 485-494.
Chang Q. Q. & Zheng H. Z. (2014). An effective strategy for non-defective reverse logistics. Information and Automation (ICIA) IEEE International Conference.1273-1277.
Chen, A. P. (2014). Study on the Supply Chain of Reverse Logistics Inventory Strategy under a Consistent Cycle. In Applied Mechanics and Materials (Vol. 608, pp. 261-264). Trans Tech Publications.
Cobb, B. R. (2016). Inventory control for returnable transport items in a closed-loop supply chain. Transportation Research Part E: Logistics and Transportation Review, 86, 53-68.
Council of Supply Chain Management Professionals (2013). CSCMP Glossary.
Daaboul, J., Le Duigou, J., Penciuc, D., & Eynard, B. (2014). Reverse logistics network design: a holistic life cycle approach. Journal of Remanufacturing, 4(1), 7.
Daugherty, P. J., Autry, C. W., & Ellinger, A. E. (2001). Reverse logistics: The relationship between resource commitment and program performance. Journal of Business Logistics, 22(1), 107-124
Das K. (2012) Integrating reverse logistics into the strategic planning of a supply chain. Int. Journal of Production Research, 50(5), 1438–1456.
Das, D., & Dutta, P. (2013). A system dynamics framework for integrated reverse supply chain with three way recovery and product exchange policy. Computers & Industrial Engineering, 66(4), 720-733.
De Giovanni, P. (2016). State-and control-dependent incentives in a closed-loop supply chain with dynamic returns. Dynamic Games and Applications, 6(1), 20-54.
Dixit, S., & Badgaiyan, A. J. (2016). Towards improved understanding of reverse logistics–Examining mediating role of return intention. Resources, Conservation and Recycling, 107, 115-128.
Dondo, R. G., & Méndez, C. A. (2016). Operational planning of forward and reverse logistic activities on multi-echelon supply-chain networks. Computers & Chemical Engineering, 88, 170-184.
Drake, M. J., & Marley, K. A. (2014). A Century of the EOQ. In Handbook of EOQ Inventory Problems (pp. 3-22). Springer, Boston, MA.
Dubey, R., Gunasekaran, A., Papadopoulos, T., Childe, S. J., Shibin, K. T., & Wamba, S. F. (2017). Sustainable supply chain management: framework and further research directions. Journal of Cleaner Production, 142, 1119-1130.
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Introducción: La logística inversa es una serie de procesos donde productos, materiales y otros recursos se recuperan de los clientes y vuelven a la empresa. Los ítems de transporte retornables son ampliamente utilizados para soportar las operacio
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https://hdl.handle.net/10654/17792
Autor:
Molano Villa, María Camila
Publikováno v:
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
El trabajo se basa en un análisis de las actividades logísticas de “Comercializadora Mercaldas S.A” mediante la aplicación del Método DELPHI; para este proceso se formó un panel de expertos pertenecientes a la empresa, y se determinó que el
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https://repositorio.unal.edu.co/handle/unal/69471
Publikováno v:
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia
Uno de los problemas más frecuentes y costosos en las cadenas de suministro es el Efecto Látigo, que capta parcialmente la oscilación de órdenes en los eslabones de la cadena de suministro y cómo se amplifican hacia arriba de la cadena. La liter
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Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Issue: 60, Pages: 102-117, Published: SEP 2011
This paper presents a single-period mathematical programming model NLMIP of a 5-stage supply chain with multiple possibilities of organizational ownership that allows several distribution channel links. The objective of the model is to optimize profi
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http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-62302011000400011&lng=en&tlng=en
Publikováno v:
Scopus-Elsevier
Repositorio Universidad de la Sabana
Universidad de la Sabana
instacron:Universidad de la Sabana
Revista Facultad de Ingeniería, Iss 60, Pp 102-117 (2011)
Repositorio Universidad de la Sabana
Universidad de la Sabana
instacron:Universidad de la Sabana
Revista Facultad de Ingeniería, Iss 60, Pp 102-117 (2011)
17 páginas Este artículo presenta un modelo de programación matemática NLMIP de un periodo simple para una cadena de abastecimiento de 5 etapas con múltiples posibilidades organizacionales de propiedad en los canales de distribución. El objetiv
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