- -

An integer linear programming model to support customer-driven material planning in synchronised, multi-tier supply chains

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

An integer linear programming model to support customer-driven material planning in synchronised, multi-tier supply chains

Mostrar el registro completo del ítem

Mula, J.; Lyons, AC.; Hernández Hormazábal, JE.; 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. https://doi.org/10.1080/00207543.2013.878055

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/53704

Ficheros en el ítem

Metadatos del ítem

Título: An integer linear programming model to support customer-driven material planning in synchronised, multi-tier supply chains
Autor: Mula, Josefa Lyons, Andrew C. Hernández Hormazábal, Jorge Esteban Poler, R.
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:
This paper describes an integer linear programming model conceived as an alternative to a traditional material requirements planning (MRP) system for extending the concept of supply chain synchronisation upstream in a ...[+]
Palabras clave: MRP , Supply chain management , Integer linear programming , Sequenced and synchronised suppliers , Automotive sector
Derechos de uso: Cerrado
Fuente:
International Journal of Production Research. (issn: 0020-7543 ) (eissn: 1366-588X )
DOI: 10.1080/00207543.2013.878055
Editorial:
Taylor & Francis: STM, Behavioural Science and Public Health Titles
Versión del editor: http://dx.doi.org/10.1080/00207543.2013.878055
Código del Proyecto:
info:eu-repo/grantAgreement/UPV//PAID-05-12-SP20120509/ES/Planificación de Requerimientos de Materiales Cuarta Generación (Mrpiv)/
Agradecimientos:
This work has been funded by the Program of Support to the Research and Development 2011 of the Vice-rectorate for Research of the Universitat Politecnica de Valencia (UPV) and the UPV project entitled 'Material Requirement ...[+]
Tipo: Artículo

References

Alemany, M. M. E., Boj, J. J., Mula, J., & Lario, F.-C. (2009). Mathematical programming model for centralised master planning in ceramic tile supply chains. International Journal of Production Research, 48(17), 5053-5074. doi:10.1080/00207540903055701

Anne, K. R., Chedjou, J. C., & Kyamakya, K. (2009). Bifurcation analysis and synchronisation issues in a three-echelon supply chain. International Journal of Logistics Research and Applications, 12(5), 347-362. doi:10.1080/13675560903181527

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 [+]
Alemany, M. M. E., Boj, J. J., Mula, J., & Lario, F.-C. (2009). Mathematical programming model for centralised master planning in ceramic tile supply chains. International Journal of Production Research, 48(17), 5053-5074. doi:10.1080/00207540903055701

Anne, K. R., Chedjou, J. C., & Kyamakya, K. (2009). Bifurcation analysis and synchronisation issues in a three-echelon supply chain. International Journal of Logistics Research and Applications, 12(5), 347-362. doi:10.1080/13675560903181527

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

Chatfield, D. C., Kim, J. G., Harrison, T. P., & Hayya, J. C. (2009). The Bullwhip Effect-Impact of Stochastic Lead Time, Information Quality, and Information Sharing: A Simulation Study. Production and Operations Management, 13(4), 340-353. doi:10.1111/j.1937-5956.2004.tb00222.x

Chen, C.-L., & Lee, W.-C. (2004). Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices. Computers & Chemical Engineering, 28(6-7), 1131-1144. doi:10.1016/j.compchemeng.2003.09.014

Clark, A. R. (2003). Optimization approximations for capacity constrained material requirements planning. International Journal of Production Economics, 84(2), 115-131. doi:10.1016/s0925-5273(02)00400-0

Coronado Mondragon, A. E., & Lyons, A. C. (2008). Investigating the implications of extending synchronized sequencing in automotive supply chains: the case of suppliers in the European automotive sector. International Journal of Production Research, 46(11), 2867-2888. doi:10.1080/00207540601055466

Coronado Mondragon, A. E., Lalwani, C., & Coronado Mondragon, C. E. (2011). Measures for auditing performance and integration in closed‐loop supply chains. Supply Chain Management: An International Journal, 16(1), 43-56. doi:10.1108/13598541111103494

Holweg, M. (2003). The three-day car challenge: Investigating the inhibitors of responsive order fulfilment in new vehicle supply systems. International Journal of Logistics Research and Applications, 6(3), 165-183. doi:10.1080/1367556031000123106

Holweg, M., & Bicheno, J. (2002). Supply chain simulation – a tool for education, enhancement and endeavour. International Journal of Production Economics, 78(2), 163-175. doi:10.1016/s0925-5273(00)00171-7

Holweg, M., Disney, S. M., Hines, P., & Naim, M. M. (2004). Towards responsive vehicle supply: a simulation-based investigation into automotive scheduling systems. Journal of Operations Management, 23(5), 507-530. doi:10.1016/j.jom.2004.10.009

Jakšič, M., & Rusjan, B. (2008). The effect of replenishment policies on the bullwhip effect: A transfer function approach. European Journal of Operational Research, 184(3), 946-961. doi:10.1016/j.ejor.2006.12.018

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

Kreipl, S., & Pinedo, M. (2009). Planning and Scheduling in Supply Chains: An Overview of Issues in Practice. Production and Operations Management, 13(1), 77-92. doi:10.1111/j.1937-5956.2004.tb00146.x

Lin, C., & Lin, Y.-T. (2005). Mitigating the bullwhip effect by reducing demand variance in the supply chain. The International Journal of Advanced Manufacturing Technology, 28(3-4), 328-336. doi:10.1007/s00170-004-2371-5

Liu, S., Young, R. I. M., & Ding, L. (2011). An integrated decision support system for global manufacturing co-ordination in the automotive industry. International Journal of Computer Integrated Manufacturing, 24(4), 285-301. doi:10.1080/0951192x.2011.554869

Lyons, A. C., Coronado Mondragon, A. E., Piller, F., & Poler, R. (2012). Customer-Driven Supply Chains. Decision Engineering. doi:10.1007/978-1-84628-876-0

Lyons *, A. C., Coronado Mondragon, A. E., Bremang, A., Kehoe, D. F., & Coleman, J. (2005). Prototyping an information system’s requirements architecture for customer-driven, supply-chain operations. International Journal of Production Research, 43(20), 4289-4319. doi:10.1080/00207540500142365

(s. f.). doi:10.1021/ie960901

Mula, J., Peidro, D., Díaz-Madroñero, M., & Vicens, E. (2010). Mathematical programming models for supply chain production and transport planning. European Journal of Operational Research, 204(3), 377-390. doi:10.1016/j.ejor.2009.09.008

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

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

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

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

Noori, S., Feylizadeh, M. R., Bagherpour, M., Zorriassatine, F., & Parkin, R. M. (2008). Optimization of material requirement planning by fuzzy multi-objective linear programming. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 222(7), 887-900. doi:10.1243/09544054jem1014

Park *, Y. B. (2005). An integrated approach for production and distribution planning in supply chain management. International Journal of Production Research, 43(6), 1205-1224. doi:10.1080/00207540412331327718

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

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

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

Peidro, D., Mula, J., Alemany, M. M. E., & Lario, F.-C. (2012). Fuzzy multi-objective optimisation for master planning in a ceramic supply chain. International Journal of Production Research, 50(11), 3011-3020. doi:10.1080/00207543.2011.588267

Haehling von Lanzenauer, C., & Pilz-Glombik, K. (2002). Coordinating supply chain decisions: an optimization model. OR Spectrum, 24(1), 59-78. doi:10.1007/s291-002-8200-3

Yenisey, M. M. (2006). A flow-network approach for equilibrium of material requirements planning. International Journal of Production Economics, 102(2), 317-332. doi:10.1016/j.ijpe.2005.04.002

[-]

recommendations

 

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

Mostrar el registro completo del ítem