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Decentralised Replenishment-Production Planning Optimisation Using Negotiation Rules in a Collaborative Network

  • Beatriz AndresEmail author
  • Raul Poler
  • Josefa Mula
  • Manuel Díaz-Madroñero
  • Raquel Sanchis
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 480)

Abstract

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 stages are considered. Concretely, production scheduling plans and material requirement plans, modelled by two mixed-integer programming models, are modified according to the established negotiation rules between the two collaborative partners. The main contribution of this paper is the improvement of the replenishment and production plans upstream of the network; proposing a decentralised collaborative planning process. The validation of the proposal is done using data based on an automotive industry.

Keywords

Decentralised planning optimisation Mathematical programming Negotiation mechanisms Collaborative networks Automotive industry 

Notes

Acknowledgments

“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 under grant agreement No. 636909”.

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Beatriz Andres
    • 1
    Email author
  • Raul Poler
    • 1
  • Josefa Mula
    • 1
  • Manuel Díaz-Madroñero
    • 1
  • Raquel Sanchis
    • 1
  1. 1.Research Centre on Production Management and Engineering (CIGIP)Universitat Politècnica de València (UPV)AlcoySpain

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