- -

A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler

Mostrar el registro sencillo del ítem

Ficheros en el ítem

[Cerrado]
Nombre: Garcia-Sabater_2012_A ...
Tamaño: 1.206Mb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author García Sabater, José Pedro es_ES
dc.contributor.author Maheut ., Julien Philippe es_ES
dc.contributor.author García Sabater, Julio Juan es_ES
dc.date.accessioned 2018-04-08T04:12:35Z
dc.date.available 2018-04-08T04:12:35Z
dc.date.issued 2012 es_ES
dc.identifier.issn 0920-6299 es_ES
dc.identifier.uri http://hdl.handle.net/10251/100066
dc.description.abstract [EN] This paper presents an operations planning scheme based on mathematical programming models (specifically, Mixed-Integer Linear Programming (MILP) models) integrated into a web-enabled Advanced Planning and Scheduling System (APS), developed for and implemented in an engine assembler that supplies the car industry. One objective of this paper is to provide empirical insights into some operations planning characteristics in the automotive industry. The other main objective is to show MILP models and their use to create plans that enable the coordination of different planning levels (mid-term and short-term) and planning domains (procurement, production and distribution). The APS fulfills the requirements of an engine assembler in the automotive sector (namely lean-type constraints and objectives). The system is based on two MILP models, which have been purposely developed together along with their relations. The models presented herein provide a solution that considers supply chain objectives and constraints, and are integrated by means of data and constraints which have proven sufficient to fulfill users' and stakeholders' requirements. This case study presents the models' most relevant aspects and their implementation. © Springer Science+Business Media, LLC 2011. es_ES
dc.description.sponsorship The work described in this paper has been partially supported by the Ministerio de Ciencia e Innovacion del Gobierno de Espana within the Program de "Proyectos de Investigacion Fundamental No Orientada through the project "CORSARI MAGIC DPI2010-1824300" and by the Universitat Politecnica de Valencia, through the Project PAID-05-2010-2741. Julien Maheut holds a Val I + D grant funded by the Generalitad Valenciana (Regional Valencian Government, Spain) (Ref. ACIF/2010). The authors wish to thank three anonymous reviewers for their comments which have greatly improved the paper. They also wish to thank the people at the factory and at the IT consultancy firm for their continuous support and encouragement. en_EN
dc.language Inglés es_ES
dc.publisher SPRINGER es_ES
dc.relation.ispartof International Journal of Flexible Manufacturing Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Advanced planning and scheduling system (APS) es_ES
dc.subject Automotive industry es_ES
dc.subject Just in time (JIT) es_ES
dc.subject Mixed-integer linear programming (MILP) es_ES
dc.subject Supply chain management (SCM) es_ES
dc.subject Advanced planning and scheduling systems es_ES
dc.subject Automotive sector es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.subject.classification INGENIERÍA DE ORGANIZACIÓN (UPV) es_ES
dc.title A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10696-011-9126-z es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//ACIF%2F2010%2F222/ES/AYUDA VALI+D PREDOCTORAL-JULIEN MAHEUT/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2010-18243/ES/COORDINACION DE OPERACIONES EN REDES DE SUMINISTRO%2FDEMANDA AJUSTADAS, RESILIENTES A LA INCERTIDUMBRE: MODELOS Y ALGORITMOS PARA LA GESTION DE LA INCERTIDUMBRE Y LA COMPLEJIDAD/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-2010-2741/ES/PAID-05-2010-2741/
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation García Sabater, JP.; Maheut ., JP.; García Sabater, JJ. (2012). A two-stage sequential planning scheme for integrated operations planning and scheduling system using MILP: the case of an engine assembler. International Journal of Flexible Manufacturing Systems. 24(2):171-209. doi:10.1007/s10696-011-9126-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10696-011-9126-z es_ES
dc.description.upvformatpinicio 171 es_ES
dc.description.upvformatpfin 209 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 24 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\217756 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Universitat Politècnica de València
dc.description.references Bautista J, Companys R, Corominas A (1996) Heuristics and exact algorithms for solving the Monden problem. Eur J Oper Res 88(1):101–113 es_ES
dc.description.references Begnaud J, Benjaafar S, Miller LA (2009) The multi-level lot sizing problem with flexible production sequences. IIE Trans 41(8):702–715 es_ES
dc.description.references Bilgen B, Günther HO (2009) Integrated production and distribution planning in the fast moving consumer goods industry: a block planning application. OR Spectr 32(4):927–955 es_ES
dc.description.references Boysen N, Fliedner M, Scholl A (2009) Level scheduling for batched JIT supply. Flex Serv Manuf J 21(1–2):31–50 es_ES
dc.description.references Bozarth CC, Warsing DP, Flynn BB, Flynn EJ (2009) The impact of supply chain complexity on manufacturing plant performance. J Oper Manag 27(1):78–93 es_ES
dc.description.references Cardos Carbonera M, Garcia-Sabater JP (2006) Designing a consumer products retail chain inventory replenishment policy with the consideration of transportation costs. Int J Prod Econ 104(2):525–535 es_ES
dc.description.references Caridi M, Sianesi A (1999) Trends in planning and control systems: APS—ERP integration. In: Mertins K, Krause O, Schallock B (eds) Global production management. Kluwer, Dordrecht es_ES
dc.description.references Chen IJ (2001) Planning for ERP systems: analysis and future trend. Bus Process Manag J 7(5):374–386 es_ES
dc.description.references Chern CC, Hsieh JS (2007) A heuristic algorithm for master planning that satisfies multiple objectives. Comput Oper Res 34(11):3491–3513 es_ES
dc.description.references Choi TY, Hong Y (2002) Unveiling the structure of supply networks: case studies in Honda, Acura, and DaimlerChrysler. J Oper Manage 20(5):469–493 es_ES
dc.description.references Chung SH, Snyder CA (2000) ERP adoption: a technological evolution approach. Int J Agile Manage Syst 2(1):24–32 es_ES
dc.description.references David F, Pierreval H, Caux C (2006) Advanced planning and scheduling systems in aluminium conversion industry. Int J Comput Integr Manuf 19(7):705–715 es_ES
dc.description.references Drexl A, Fleischmann B, Günther HO, Stadtler H, Tempelmeier H (1994) Konzeptionelle Grundlagen kapazi tätsorientierter PPS-Systeme. Zeitschrift für betriebswirtschaftliche Forschung 46:1022–1045 es_ES
dc.description.references Dudek G (2004) Collaborative planning in supply chains. A negotiation-based approach. Springer, Berlin, p 2004 es_ES
dc.description.references Fleischmann B, Meyr H (2003) Planning hierarchy, modeling and advanced planning systems. Handb Oper Res Manage Sci 11:455–523 es_ES
dc.description.references Garcia-Sabater JP, Vidal P (2008) El problema de la programación del lote económico del ELSP: Una revisión de la literatura. X Congreso de Ingeniería de Organización 1:1–8 es_ES
dc.description.references Garcia-Sabater JP, Maheut J, Marin-Garcia JA (in press) A new formulation technique to model materials and operations planning: the generic materials and operations planning (GMOP) problem. Eur J Ind Eng es_ES
dc.description.references Günther HO, Meyr H (2009) Supply chain planning and advanced planning systems. OR Spectr 31(1):1–3 es_ES
dc.description.references Günther HO, Seiler T (2009) Operative transportation planning in consumer goods supply chains. Flex Serv Manuf J 21(1–2):51–74 es_ES
dc.description.references Hahn CK, Duplaga EA, Hartley JL (2000) Supply-chain synchronization: lessons from Hyundai motor company. Interfaces 30(4):32–45 es_ES
dc.description.references Ho JC, Chang YL (2001) An integrated MRP and JIT framework. Comput Ind Eng 41(2):173–185 es_ES
dc.description.references Hüttmeir A, de Treville S, van Ackere A, Monnier L, Prenninger J (2009) Trading off between heijunka and just-in-sequence. Int J Prod Econ 118(2):501–507 es_ES
dc.description.references Kannegiesser M, Gunther HO (2011) An integrated optimization model for managing the global value chain of a chemical commodities manufacturer. J Oper Res Soc 62(4):711–721 es_ES
dc.description.references Lang JC (2009) Production and inventory management with substitutions. Springer, Berlin es_ES
dc.description.references Lee HL (2002) Aligning supply chain strategies with product uncertainties. Calif Manage Rev 44(3):105–119 es_ES
dc.description.references Lloret J, Garcia-Sabater JP, Marin-Garcia JA (2009) Cooperative supply chain re-scheduling: the case of an engine supply chain. In: Springer B (ed) Lecture notes in computer science, vol 5738/2009, pp 376–383 es_ES
dc.description.references Maheut J, Garcia-Sabater JP, Mula F (2012) A supply chain operations lot-sizing and scheduling model with alternative operations. In: Sethi SP et al (ed) Industrial engineering: innovative networks. Springer London es_ES
dc.description.references Meyr H (2004) Supply chain planning in the German automotive industry. OR Spectr 26(4):447–470 es_ES
dc.description.references Meyr H, Wagner M, Rohde J (2005) Structure of advanced planning systems. In: Staedtler H, Kilger C (eds) Supply chain management and advanced planning: concepts, models, software and case studies, 3rd edn. Springer, Berlin, pp 109–115 es_ES
dc.description.references Monden Y (1981) Production smoothing. Industrial engineering, pp 42–51 es_ES
dc.description.references Monden Y (1994) Toyota production system. An integrate approach to just in time. Chapman & Hall, London es_ES
dc.description.references Mula J, Peidro D, Diaz-Madroñero M, Vicens E (2010) Mathematical programming models for supply chain production and transport planning. Eur J Oper Res 204(3):366–390 es_ES
dc.description.references Ozdamar L, Yazgac T (1999) A hierarchical planning approach for a production-distribution system. Int J Prod Res 37(16):3759–3772 es_ES
dc.description.references Parush A, Hod A, Shtub A (2007) Impact of visualization type and contextual factors on performance with enterprise resource planning systems. Comput Ind Eng 52(1):133–142 es_ES
dc.description.references Piper CJ, Vachon S (2001) Accounting for productivity losses in aggregate planning. Int J Prod Res 39(17):4001–4012 es_ES
dc.description.references Puig-Bernabeu X, Maheut J, Garcia-Sabater JP, Lario FC (2010) Algorithm for planning the supply of product with FTL strategy in lean environment: an industrial case. ICOVACS 2010 Valencia—international conference on value chain sustainability, pp 174–182 es_ES
dc.description.references Quadt D, Kuhn H (2008) Capacitated lot-sizing with extensions: a review. 4OR Q J Oper Res 6(1):61–83 es_ES
dc.description.references Rashid MA, Hossain L, Patrick J (2002) Enterprise resource planning solutions & management. In: Nah FF-H (ed) Enterprise resource planning solutions & management. IRM Press, USA es_ES
dc.description.references Riezebos J, Klingenberg W, Hicks C (2009) Lean production and information technology: connection or contradiction? Comput Ind 60(4):237–247 es_ES
dc.description.references Sillekens T, Koberstein A, Suhl L (2010) Aggregate production planning in the automotive industry with special consideration of workforce flexibility. Int J Prod Res iFirst:1–24 es_ES
dc.description.references Simpson NC, Erenguc S (2001) Modeling the order picking function in supply chain systems: formulation, experimentation, and insights. IIE Trans 33(2):119 es_ES
dc.description.references Stadtler H (2005) Supply chain management and advanced planning—basics, overview and challenges. Eur J Oper Res 163(3):575–588 es_ES
dc.description.references Stadtler H, Kilger C (2002) Supply chain management and advanced planning: concepts, models, software and case studies. Springer, Berlin es_ES
dc.description.references Sugimori Y, Kusunoki K, Cho F, Uchikawa S (1977) Toyota production system and Kanban system materialization of just-in-time and respect-for-human system. Int J Prod Res 15(6):553–564 es_ES
dc.description.references Wang RC, Liang TF (2004) Application of fuzzy multi-objective linear programming to aggregate production planning. Comput Ind Eng 46(1):17–41 es_ES
dc.description.references Wang S, Sarker BR (2005) An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy. Eur J Oper Res 162(1):153–172 es_ES
dc.description.references Yokoyama M (2008) Flow-shop scheduling with setup and assembly operations. Eur J Oper Res 187(3):1184–1195 es_ES


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

Mostrar el registro sencillo del ítem