Collaborative Planning in Supply Chains by Lagrangian Relaxation and Genetic Algorithms

  title={Collaborative Planning in Supply Chains by Lagrangian Relaxation and Genetic Algorithms},
  author={Lanshun Nie and Xiaofei Xu and De-chen Zhan},
  journal={2006 6th World Congress on Intelligent Control and Automation},
A collaborative planning framework combining the Lagrangian relaxation method and genetic algorithms is developed to coordinate and optimize the production planning of the independent partners linked by material flows in multiple tier supply chains. Linking constraints and dependent demand constraints were added to the monolithic multi-level, multi-item capacitated lot sizing problem (MLCLSP) for supply chains. Model MLCLSP was Lagrangian relaxed and decomposed into facility-separable sub… CONTINUE READING
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A Lagrangean-based heuristic for dynamic multilevel multiitem constrained lotsizing with setup times

  • H. Tempelmeier, M. Derstroff
  • Management Science, vol. 42, no. 1, pp. 738-757…
  • 1996
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3 Excerpts

Backup agreements in fashion buying — the value of upstream flexibility

  • Eppen, A. Iyer
  • Management Science
  • 2005

multi - agent systems in production planning and control : an overview

  • Caridi, S. Cavalieri
  • Production Planning & Contro l
  • 2004

Planning supply chain operations: definition and comparison of planning concepts

  • T. G. de Kok, J. C. Fransoo
  • Supply Chain Management: Design, Coordination and…
  • 2003
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