- -

Decentralised replenishment-production planning optimisation using negotiation rules in a collaborative network

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Decentralised replenishment-production planning optimisation using negotiation rules in a collaborative network

Mostrar el registro completo del ítem

Andres, B.; Poler, R.; Mula, J.; Díaz-Madroñero Boluda, FM.; Sanchis, R. (2016). Decentralised replenishment-production planning optimisation using negotiation rules in a collaborative network. IFIP Advances in Information and Communication Technology. 480:228-240. https://doi.org/10.1007/978-3-319-45390-3_20

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84728

Ficheros en el ítem

Metadatos del ítem

Título: Decentralised replenishment-production planning optimisation using negotiation rules in a collaborative network
Autor: Andres, B. Poler, R. Mula, Josefa Díaz-Madroñero Boluda, Francisco Manuel Sanchis, 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. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Fecha difusión:
Resumen:
[EN] This paper proposes a decentralised planning optimisation approach by using mathematical programming and negotiation mechanisms in a collaborative network. Two partners addressing the replenishment and production ...[+]
Palabras clave: Decentralised planning optimisation , Mathematical programming , Negotiation mechanisms , Collaborative networks , Automotive industry
Derechos de uso: Cerrado
ISBN: 978-3-319-45389-7
Fuente:
IFIP Advances in Information and Communication Technology. (issn: 1868-4238 )
DOI: 10.1007/978-3-319-45390-3_20
Editorial:
Springer
Versión del editor: http://dx.doi.org/10.1007/978-3-319-45390-3_20
Código del Proyecto:
info:eu-repo/grantAgreement/EC/H2020/636909/EU/Cloud Collaborative Manufacturing Networks (C2NET)/
Agradecimientos:
“The research leading to these results is in the frame of the “Cloud Collaborative Manufacturing Networks” (C2NET) project which has received funding from the European Union’s Horizon 2020 research and innovation programme ...[+]
Tipo: Artículo

References

Andres, B., Poler, R.: Dealing with the alignment of strategies within the collaborative networked partners. IFIP Int. Fed. Inf. Process 450, 13–21 (2015)

Gupta, A., Maranas, C.D.: Managing demand uncertainty in supply chain planning. Comput. Chem. Eng. 27, 1219–1227 (2003)

Gupta, A., Maranas, C.D.: A hierarchical Lagrangean relaxation procedure for solving midterm planning problems. Ind. Eng. Chem. Res. 38, 1937–1947 (1999) [+]
Andres, B., Poler, R.: Dealing with the alignment of strategies within the collaborative networked partners. IFIP Int. Fed. Inf. Process 450, 13–21 (2015)

Gupta, A., Maranas, C.D.: Managing demand uncertainty in supply chain planning. Comput. Chem. Eng. 27, 1219–1227 (2003)

Gupta, A., Maranas, C.D.: A hierarchical Lagrangean relaxation procedure for solving midterm planning problems. Ind. Eng. Chem. Res. 38, 1937–1947 (1999)

Andres, B., Poler, R., Hernández, J.E.: An operational planning solution for smes in collaborative and non-hierarchical networks. Lect. Notes Bus. Inf. Process 164, 46–56 (2013)

Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16, 439–452 (2005)

Kasanen, E., Lukka, K., Siitonen, A.: The constructive approach in management accounting research. J. Manag. Account. Res. 5, 243–264 (1993)

Dudek, G., Stadtler, H.: Negotiation-based collaborative planning between supply chains partners. Eur. J. Oper. Res. 163, 668–687 (2005)

Jung, H., Chen, F., Jeong, B.: Decentralized supply chain planning framework for third party logistics partnership. Comput. Ind. Eng. 55, 348–364 (2008)

Schneeweiss, S.: Distributed decision making in supply chain management. Int. J. Prod. Econ. 84, 71–83 (2003)

Alemany, M.M.E., Alarcón, F., Lario, F.C., Boj, J.J.: An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. Comput. Ind. 62, 519–540 (2011)

Pibernik, R., Sucky, E.: An approach to inter-domain master planning in supply chains. Int. J. Prod. Econ. 108, 200–212 (2007)

Mula, J., Peidro, D., Poler, R.: Optimization models for supply chain production planning under fuzziness. Stud. Fuzziness Soft Comput. 31, 397–422 (2014)

Hernández, J.E., Lyons, A.C., Mula, J., Poler, R., Ismail, J.: Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system. Prod. Plan. Control 25, 662–678 (2014)

Mula, J., Poler, R., Garcia, J.P.: MRP with flexible constraints: a fuzzy mathematical programming approach. Fuzzy Sets Syst. 157, 74–97 (2006)

Andres, B., Mula, J., Diaz Madroñero, F.M., Poler, R. Sanchis, R.: Capacitated lot-sizing and scheduling problem for second-tier suppliers in the automotive sector. In: CIO-ICIEOM-IISE-AIM International Joint Conference (IJC2016), 13–15 July 2016. TECNUN-School of Engineering, San Sebastian, Spain (2016). Forthcoming

[-]

recommendations

 

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

Mostrar el registro completo del ítem