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An extension to fuzzy estimations and system dynamics for improving supply chains

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An extension to fuzzy estimations and system dynamics for improving supply chains

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Campuzano Bolarín, F.; Mula, J.; Peidro Payá, D. (2013). An extension to fuzzy estimations and system dynamics for improving supply chains. International Journal of Production Research. 51(10):3156-3166. doi:10.1080/00207543.2012.760854

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37704

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Título: An extension to fuzzy estimations and system dynamics for improving supply chains
Autor: Campuzano Bolarín, Francisco Mula, Josefa Peidro Payá, David
Entidad UPV: Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
Campuzano, Mula, and Peidro (Fuzzy estimations and system dynamics for improving supply chains. Fuzzy Sets and Systems 161: 15301542) evaluate the behaviour of fuzzy estimations of demand instead of exponential smoothing ...[+]
Palabras clave: Supply chain dynamics , Simulation , Fuzzy methods , Bullwhip effect
Derechos de uso: Cerrado
Fuente:
International Journal of Production Research. (issn: 0020-7543 )
DOI: 10.1080/00207543.2012.760854
Editorial:
Taylor & Francis: STM, Behavioural Science and Public Health Titles
Versión del editor: http://www.tandfonline.com/doi/abs/10.1080/00207543.2012.760854#.U3s84HZaZL0
Tipo: Artículo

References

Balan, S., Vrat, P., & Kumar, P. (2007). Reducing the Bullwhip effect in a supply chain with fuzzy logic approach. International Journal of Integrated Supply Management, 3(3), 261. doi:10.1504/ijism.2007.012630

Balan, S., Vrat, P., & Kumar, P. (2009). RETRACTED: Information distortion in a supply chain and its mitigation using soft computing approach. Omega, 37(2), 282-299. doi:10.1016/j.omega.2007.01.004

Campuzano, F., Mula, J., & Peidro, D. (2010). Fuzzy estimations and system dynamics for improving supply chains. Fuzzy Sets and Systems, 161(11), 1530-1542. doi:10.1016/j.fss.2009.12.002 [+]
Balan, S., Vrat, P., & Kumar, P. (2007). Reducing the Bullwhip effect in a supply chain with fuzzy logic approach. International Journal of Integrated Supply Management, 3(3), 261. doi:10.1504/ijism.2007.012630

Balan, S., Vrat, P., & Kumar, P. (2009). RETRACTED: Information distortion in a supply chain and its mitigation using soft computing approach. Omega, 37(2), 282-299. doi:10.1016/j.omega.2007.01.004

Campuzano, F., Mula, J., & Peidro, D. (2010). Fuzzy estimations and system dynamics for improving supply chains. Fuzzy Sets and Systems, 161(11), 1530-1542. doi:10.1016/j.fss.2009.12.002

Cannella, S., & Ciancimino, E. (2009). On the Bullwhip Avoidance Phase: supply chain collaboration and order smoothing. International Journal of Production Research, 48(22), 6739-6776. doi:10.1080/00207540903252308

Cannella, S., A. P. Povoa, J. M. Framiñan and S. Relvas. 2013. “Metrics for bullwhip effect analysis.”Journal of the Operational Research Society64 (1): 1–16.

Fransoo, J. C., & Wouters, M. J. F. (2000). Measuring the bullwhip effect in the supply chain. Supply Chain Management: An International Journal, 5(2), 78-89. doi:10.1108/13598540010319993

Kristianto, Y., Helo, P., Jiao, J. (Roger), & Sandhu, M. (2012). Adaptive fuzzy vendor managed inventory control for mitigating the Bullwhip effect in supply chains. European Journal of Operational Research, 216(2), 346-355. doi:10.1016/j.ejor.2011.07.051

Wangphanich, P., Kara, S., & Kayis, B. (2009). Analysis of the bullwhip effect in multi-product, multi-stage supply chain systems–a simulation approach. International Journal of Production Research, 48(15), 4501-4517. doi:10.1080/00207540902950852

Xiong, G., & Helo†, P. (2006). An application of cost-effective fuzzy inventory controller to counteract demand fluctuation caused by bullwhip effect. International Journal of Production Research, 44(24), 5261-5277. doi:10.1080/00207540600600114

Zarandi, M. H. F., Pourakbar, M., & Turksen, I. B. (2008). A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems. Expert Systems with Applications, 34(3), 1680-1691. doi:10.1016/j.eswa.2007.01.031

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