Effects of Reconfigurations for Multi-period Production Planning under Demand Uncertainty

Tatsushi Nishi, Soh Sakurai

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

We address the effects of the exchanges of leader-follower relationship to the multi-period supply chain planning under demand uncertainty. Most of conventional works assume that the leader-follower relations for multiple companies are treated as constant in all time periods. However, in order to accommodate changes caused by uncertainties, it is necessary to develop reconfigurable supply chain that can flexibly change its structure of supply chain according to the dynamical changes of manufacturing environment. In this paper, a multi-period supply chain planning model that can change the structure of supply chain over time periods under uncertainty is developed. We provide a novel production planning model that can effectively determine the optimal configuration of leader-follower relationship in the bilevel supply chain planning problem. Then, the total profit of the supply chain is analyzed by a game theoretical analysis. The effects on the change of configurations are investigated from computational experiments.

Original languageEnglish
Pages (from-to)260-264
Number of pages5
JournalProcedia CIRP
Volume63
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event50th CIRP Conference on Manufacturing Systems, CIRP CMS 2017 - Taichung, Taiwan, Province of China
Duration: May 3 2017May 5 2017

Keywords

  • demand uncertainty
  • dynamic reconfiguration
  • game theoretical approach
  • supply chain optimization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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