- -

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

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

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

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Campuzano Bolarín, Francisco es_ES
dc.contributor.author Mula, Josefa es_ES
dc.contributor.author Peidro Payá, David es_ES
dc.date.accessioned 2014-05-23T09:37:54Z
dc.date.issued 2013-03-08
dc.identifier.issn 0020-7543
dc.identifier.uri http://hdl.handle.net/10251/37704
dc.description.abstract 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 for demand forecasts in a two-level (manufacturer and end customer) supply chain and demonstrate how the bullwhip effect and the amplification of inventory variance (NSAmp) can be effectively reduced. In this note, we extend and test the previous model to a three-level supply chain which consists of an end consumer, a retailer and a manufacturer. Here, the model is tested by using both Gaussian and autoregressive demand patterns. We show that the bullwhip effect and NSAmp also reduce at the level where fuzzy orders exist with good fill rate values. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis: STM, Behavioural Science and Public Health Titles es_ES
dc.relation.ispartof International Journal of Production Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Supply chain dynamics es_ES
dc.subject Simulation es_ES
dc.subject Fuzzy methods es_ES
dc.subject Bullwhip effect es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title An extension to fuzzy estimations and system dynamics for improving supply chains es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1080/00207543.2012.760854
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.tandfonline.com/doi/abs/10.1080/00207543.2012.760854#.U3s84HZaZL0 es_ES
dc.description.upvformatpinicio 3156 es_ES
dc.description.upvformatpfin 3166 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 51 es_ES
dc.description.issue 10 es_ES
dc.relation.senia 253292
dc.description.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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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. es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES
dc.description.references 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 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem