- -

A rolling horizon approach for material requirement planning under fuzzy lead times

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A rolling horizon approach for material requirement planning under fuzzy lead times

Mostrar el registro sencillo del ítem

Ficheros en el ítem

[Cerrado]
Nombre: Díaz-Madroñero;Mu ...
Tamaño: 703.6Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
[Pdf]
Nombre: Diaz_Madroñero_A ...
Tamaño: 620.3Kb
Formato: PDF
Descripción: Versiión del Autor
Abrir
dc.contributor.author Díaz-Madroñero Boluda, Francisco Manuel es_ES
dc.contributor.author Mula, Josefa es_ES
dc.contributor.author Jiménez, Mariano es_ES
dc.contributor.author Peidro Payá, David es_ES
dc.date.accessioned 2020-04-17T12:49:09Z
dc.date.available 2020-04-17T12:49:09Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0020-7543 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140870
dc.description This is an Author's Accepted Manuscript of an article published in Manuel Díaz-Madroñero, Josefa Mula, Mariano Jiménez & David Peidro (2017) A rolling horizon approach for material requirement planning under fuzzy lead times, International Journal of Production Research, 55:8, 2197-2211, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/00207543.2016.1223382
dc.description.abstract [EN] This paper proposes a fuzzy multi-objective integer linear programming (FMOILP) approach to model a material requirement planning (MRP) problem with fuzzy lead times. The objective functions minimise the total costs, back-order quantities and idle times of productive resources. Capacity constraints are included by considering overtime resources. Into the crisp MRP multi-objective model, we incorporate the possibility of occurrence of each uncertain lead time using fuzzy numbers. Then FMOILP is transformed into an auxiliary crisp mixed-integer linear programming model by a fuzzy goal programming approach for each fuzzy lead time combination. In order to defuzzify the set of solutions associated with each fuzzy lead time combination, a solution method based on the centre of gravity concept is addressed. Model validation with a numerical example is carried out by a novel rolling horizon procedure where uncertain lead times are updated during each planning period according to the centre of gravity obtained. For illustration purposes, the proposed solution approach is satisfactorily compared to a rolling horizon approach in which lead times are allocated when the possibility of occurrence is established at one. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministry of Education Projects: Design and Management of Global Supply Chains (GLOBOP) [Ref. DPI2012-38061-C02-01] and [ECO2011-26499]. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof International Journal of Production Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject MRP es_ES
dc.subject Uncertainty es_ES
dc.subject Fuzzy methods es_ES
dc.subject Multi-objective optimisation es_ES
dc.subject Rolling horizon es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title A rolling horizon approach for material requirement planning under fuzzy lead times es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00207543.2016.1223382 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//ECO2011-26499/ES/APLICACION DE MODELOS DE DECISION MULTI-CRITERIO A AMBITOS ECONOMICOS Y FINANCIEROS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2012-38061-C02-01/ES/DISEÑO Y GESTION DE OPERACIONES EN CADENAS GLOBALES DE SUMINISTRO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Díaz-Madroñero Boluda, FM.; Mula, J.; Jiménez, M.; Peidro Payá, D. (2017). A rolling horizon approach for material requirement planning under fuzzy lead times. International Journal of Production Research. 55(8):2197-2211. https://doi.org/10.1080/00207543.2016.1223382 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/00207543.2016.1223382 es_ES
dc.description.upvformatpinicio 2197 es_ES
dc.description.upvformatpfin 2211 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 55 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela S\327420 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.description.references Aloulou, M. A., Dolgui, A., & Kovalyov, M. Y. (2013). A bibliography of non-deterministic lot-sizing models. International Journal of Production Research, 52(8), 2293-2310. doi:10.1080/00207543.2013.855336 es_ES
dc.description.references Baker, K. R. (1977). AN EXPERIMENTAL STUDY OF THE EFFECTIVENESS OF ROLLING SCHEDULES IN PRODUCTION PLANNING. Decision Sciences, 8(1), 19-27. doi:10.1111/j.1540-5915.1977.tb01065.x es_ES
dc.description.references Bellman, R. E., & Zadeh, L. A. (1970). Decision-Making in a Fuzzy Environment. Management Science, 17(4), B-141-B-164. doi:10.1287/mnsc.17.4.b141 es_ES
dc.description.references Billington, P. J., McClain, J. O., & Thomas, L. J. (1983). Mathematical Programming Approaches to Capacity-Constrained MRP Systems: Review, Formulation and Problem Reduction. Management Science, 29(10), 1126-1141. doi:10.1287/mnsc.29.10.1126 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 Díaz-Madroñero, M., Mula, J., & Jiménez, M. (2014). Fuzzy goal programming for material requirements planning under uncertainty and integrity conditions. International Journal of Production Research, 52(23), 6971-6988. doi:10.1080/00207543.2014.920115 es_ES
dc.description.references Dolgii, A. B. (2001). Automation and Remote Control, 62(12), 2020-2026. doi:10.1023/a:1013776612532 es_ES
dc.description.references Dolgui, A., & Ould-Louly, M.-A. (2002). A model for supply planning under lead time uncertainty. International Journal of Production Economics, 78(2), 145-152. doi:10.1016/s0925-5273(00)00180-8 es_ES
dc.description.references Dolgui, A., & Prodhon, C. (2007). Supply planning under uncertainties in MRP environments: A state of the art. Annual Reviews in Control, 31(2), 269-279. doi:10.1016/j.arcontrol.2007.02.007 es_ES
dc.description.references Dolgui, A., Portmann, M.-C., & Proth, J.-M. (1995). Planification de systèmes d’assemblage avec approvisionnements aléatoires en composants. Journal of Decision Systems, 4(4), 255-278. doi:10.1080/12460125.1995.10511659 es_ES
dc.description.references DOLGUI, A., BEN AMMAR, O., HNAIEN, F., & LOULY, M. A. O. (2013). A State of the Art on Supply Planning and Inventory Control under Lead Time Uncertainty. Studies in Informatics and Control, 22(3). doi:10.24846/v22i3y201302 es_ES
dc.description.references Grabot, B., Geneste, L., Reynoso-Castillo, G., & V�rot, S. (2005). Integration of uncertain and imprecise orders in the MRP method. Journal of Intelligent Manufacturing, 16(2), 215-234. doi:10.1007/s10845-004-5890-x es_ES
dc.description.references Grubbström, R. W., & Tang, O. (1999). Further developments on safety stocks in an MRP system applying Laplace transforms and input–output analysis. International Journal of Production Economics, 60-61, 381-387. doi:10.1016/s0925-5273(98)00141-8 es_ES
dc.description.references Guillaume, R., Thierry, C., & Grabot, B. (2010). Modelling of ill-known requirements and integration in production planning. Production Planning & Control, 22(4), 336-352. doi:10.1080/09537281003800900 es_ES
dc.description.references HO, C.-J. (1989). Evaluating the impact of operating environments on MRP system nervousness. International Journal of Production Research, 27(7), 1115-1135. doi:10.1080/00207548908942611 es_ES
dc.description.references Jiménez, M., Arenas, M., Bilbao, A., & Rodrı´guez, M. V. (2007). Linear programming with fuzzy parameters: An interactive method resolution. European Journal of Operational Research, 177(3), 1599-1609. doi:10.1016/j.ejor.2005.10.002 es_ES
dc.description.references Karni, R. (1981). Integer linear programming formulation of the material requirements planning problem. Journal of Optimization Theory and Applications, 35(2), 217-230. doi:10.1007/bf00934577 es_ES
dc.description.references Li, T., Lin, P., Sun, G.-J., & Liu, H.-H. (2009). Application of Fuzzy Programming with Recourse in Material Requirement Planning Problem. 2009 International Conference on Measuring Technology and Mechatronics Automation. doi:10.1109/icmtma.2009.568 es_ES
dc.description.references Lin, C.-C. (2004). A weighted max–min model for fuzzy goal programming. Fuzzy Sets and Systems, 142(3), 407-420. doi:10.1016/s0165-0114(03)00092-7 es_ES
dc.description.references Ould-Louly, M.-A., & Dolgui, A. (2002). Generalized newsboy model to compute the optimal planned lead times in assembly systems. International Journal of Production Research, 40(17), 4401-4414. doi:10.1080/00207540210158825 es_ES
dc.description.references Louly, M.-A., & Dolgui, A. (2011). Optimal time phasing and periodicity for MRP with POQ policy. International Journal of Production Economics, 131(1), 76-86. doi:10.1016/j.ijpe.2010.04.042 es_ES
dc.description.references Louly, M.-A., & Dolgui, A. (2013). Optimal MRP parameters for a single item inventory with random replenishment lead time, POQ policy and service level constraint. International Journal of Production Economics, 143(1), 35-40. doi:10.1016/j.ijpe.2011.02.009 es_ES
dc.description.references Louly, M. A., Dolgui, A., & Hnaien, F. (2008). Optimal supply planning in MRP environments for assembly systems with random component procurement times. International Journal of Production Research, 46(19), 5441-5467. doi:10.1080/00207540802273827 es_ES
dc.description.references Louly, M.-A., Dolgui, A., & Hnaien, F. (2008). Supply planning for single-level assembly system with stochastic component delivery times and service-level constraint. International Journal of Production Economics, 115(1), 236-247. doi:10.1016/j.ijpe.2008.06.005 es_ES
dc.description.references Mula, J., Poler, R., & Garcia, J. P. (2006). MRP with flexible constraints: A fuzzy mathematical programming approach. Fuzzy Sets and Systems, 157(1), 74-97. doi:10.1016/j.fss.2005.05.045 es_ES
dc.description.references Mula, J., Poler, R., García-Sabater, J. P., & Lario, F. C. (2006). Models for production planning under uncertainty: A review. International Journal of Production Economics, 103(1), 271-285. doi:10.1016/j.ijpe.2005.09.001 es_ES
dc.description.references Mula, J., Poler, R., & Garcia-Sabater, J. P. (2007). Material Requirement Planning with fuzzy constraints and fuzzy coefficients. Fuzzy Sets and Systems, 158(7), 783-793. doi:10.1016/j.fss.2006.11.003 es_ES
dc.description.references Mula, J., Poler, R., & Garcia-Sabater, J. P. (2008). Capacity and material requirement planning modelling by comparing deterministic and fuzzy models. International Journal of Production Research, 46(20), 5589-5606. doi:10.1080/00207540701413912 es_ES
dc.description.references Mula, J., Peidro, D., & Poler, R. (2010). The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand. International Journal of Production Economics, 128(1), 136-143. doi:10.1016/j.ijpe.2010.06.007 es_ES
dc.description.references Mula, J., Lyons, A. C., Hernández, J. E., & Poler, R. (2014). An integer linear programming model to support customer-driven material planning in synchronised, multi-tier supply chains. International Journal of Production Research, 52(14), 4267-4278. doi:10.1080/00207543.2013.878055 es_ES
dc.description.references Ould-Louly, M.-A., & Dolgui, A. (2004). The MPS parameterization under lead time uncertainty. International Journal of Production Economics, 90(3), 369-376. doi:10.1016/j.ijpe.2003.08.008 es_ES
dc.description.references Peidro, D., Mula, J., Poler, R., & Verdegay, J.-L. (2009). Fuzzy optimization for supply chain planning under supply, demand and process uncertainties. Fuzzy Sets and Systems, 160(18), 2640-2657. doi:10.1016/j.fss.2009.02.021 es_ES
dc.description.references Peidro, D., Mula, J., Poler, R., & Lario, F.-C. (2008). Quantitative models for supply chain planning under uncertainty: a review. The International Journal of Advanced Manufacturing Technology, 43(3-4), 400-420. doi:10.1007/s00170-008-1715-y es_ES
dc.description.references Peidro, D., Mula, J., Jiménez, M., & del Mar Botella, M. (2010). A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. European Journal of Operational Research, 205(1), 65-80. doi:10.1016/j.ejor.2009.11.031 es_ES
dc.description.references PROTH, J. M., MAUROY, G., WARDI, Y., CHU, C., & XIE, X. L. (1997). Journal of Intelligent Manufacturing, 8(5), 385-403. doi:10.1023/a:1018506232008 es_ES
dc.description.references Romero, C. (2001). Extended lexicographic goal programming: a unifying approach. Omega, 29(1), 63-71. doi:10.1016/s0305-0483(00)00026-8 es_ES
dc.description.references Tiwari, R. N., Dharmar, S., & Rao, J. R. (1987). Fuzzy goal programming — An additive model. Fuzzy Sets and Systems, 24(1), 27-34. doi:10.1016/0165-0114(87)90111-4 es_ES
dc.description.references Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems, 159(2), 193-214. doi:10.1016/j.fss.2007.08.010 es_ES
dc.description.references Van Broekhoven, E., & De Baets, B. (2006). Fast and accurate center of gravity defuzzification of fuzzy system outputs defined on trapezoidal fuzzy partitions. Fuzzy Sets and Systems, 157(7), 904-918. doi:10.1016/j.fss.2005.11.005 es_ES
dc.description.references Verdegay, J. L. (2015). Progress on Fuzzy Mathematical Programming: A personal perspective. Fuzzy Sets and Systems, 281, 219-226. doi:10.1016/j.fss.2015.08.023 es_ES
dc.description.references Whybark, D. C., & Williams, J. G. (1976). MATERIAL REQUIREMENTS PLANNING UNDER UNCERTAINTY. Decision Sciences, 7(4), 595-606. doi:10.1111/j.1540-5915.1976.tb00704.x es_ES
dc.description.references Wijngaard, J., & Wortmann, J. C. (1985). MRP and inventories. European Journal of Operational Research, 20(3), 281-293. doi:10.1016/0377-2217(85)90001-3 es_ES
dc.description.references Yano, C. A. (1987). Planned Leadtimes For Serial Production Systems. IIE Transactions, 19(3), 300-307. doi:10.1080/07408178708975400 es_ES
dc.description.references Yano, C. A. (1987). Setting Planned Leadtimes in Serial Production Systems with Tardiness Costs. Management Science, 33(1), 95-106. doi:10.1287/mnsc.33.1.95 es_ES
dc.description.references Yano, C. A. (1987). Stochastic Leadtimes in Two-Level Assembly Systems. IIE Transactions, 19(4), 371-378. doi:10.1080/07408178708975409 es_ES
dc.description.references Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi:10.1016/s0019-9958(65)90241-x es_ES
dc.description.references Zimmermann, H.-J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1(1), 45-55. doi:10.1016/0165-0114(78)90031-3 es_ES


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

Mostrar el registro sencillo del ítem