Computational evaluation of order selection methods in dynamic supply chains

Y. Tanimizu, B. Orita, Y. Shimizu, C. Ozawa, Y. Maeda, K. Iwamura, N. Sugimura

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Previous researches proposed a dynamic supply chain model, which consists of three model components; those are clients, manufacturers, and suppliers. The model provided a numerical method to determine suitable prices and delivery times of products through the iteration of both the modification processes of production schedules and the negotiation processes among the model components. This paper proposes an effective order selection method for suppliers to find a suitable order in a number of orders sent from the lower-layer organizations. Computational experiments were carried to evaluate the effectiveness of the proposed method by using a developed supply chain simulation system.

Original languageEnglish
Pages (from-to)281-286
Number of pages6
JournalProcedia CIRP
Volume3
Issue number1
DOIs
Publication statusPublished - 2012 Jan 1
Externally publishedYes
Event45th CIRP Conference on Manufacturing Systems, CMS 2012 - Athens, Greece
Duration: 2012 May 162012 May 18

Keywords

  • Genetic algorithm
  • Heuristic rule
  • Make-to-order
  • Multithread processing
  • Negotiation
  • Parallel scheduling
  • Penalty
  • Supply chain

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Tanimizu, Y., Orita, B., Shimizu, Y., Ozawa, C., Maeda, Y., Iwamura, K., & Sugimura, N. (2012). Computational evaluation of order selection methods in dynamic supply chains. Procedia CIRP, 3(1), 281-286. https://doi.org/10.1016/j.procir.2012.07.049