Dynamic Reconfiguration of Leadership in Multi-Period Supply Chain Planning

Tatsushi Nishi; Soh Sakurai

doi:10.1016/j.procir.2018.03.248

Dynamic Reconfiguration of Leadership in Multi-Period Supply Chain Planning

Tatsushi Nishi, Soh Sakurai

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

In the beginning of the market, it is necessary to flexibly respond to the change to make an optimal decision-making when the market power leadership can be easily changed. For supply chain decision-making, game theoretical approaches are widely used to analyze the effect of the leader-follower relationship. However, most conventional studies assume that the leader-follower relationship for multiple companies are treated as constant in all time periods. In this paper, a multi-period supply chain planning model that can change the relation of supply chain over time periods is developed. The model comprises one regular manufacturer, one newcomer manufacturer and one retailer. The effects of the change of leader-follower relationship are investigated for dynamic reconfiguration of the multi-period production planning problem with a newcomer manufacturer from computational experiments.

Original language	English
Pages (from-to)	515-519
Number of pages	5
Journal	Procedia CIRP
Volume	72
DOIs	https://doi.org/10.1016/j.procir.2018.03.248
Publication status	Published - 2018
Event	51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden Duration: May 16 2018 → May 18 2018

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

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title = "Dynamic Reconfiguration of Leadership in Multi-Period Supply Chain Planning",

abstract = "In the beginning of the market, it is necessary to flexibly respond to the change to make an optimal decision-making when the market power leadership can be easily changed. For supply chain decision-making, game theoretical approaches are widely used to analyze the effect of the leader-follower relationship. However, most conventional studies assume that the leader-follower relationship for multiple companies are treated as constant in all time periods. In this paper, a multi-period supply chain planning model that can change the relation of supply chain over time periods is developed. The model comprises one regular manufacturer, one newcomer manufacturer and one retailer. The effects of the change of leader-follower relationship are investigated for dynamic reconfiguration of the multi-period production planning problem with a newcomer manufacturer from computational experiments.",

author = "Tatsushi Nishi and Soh Sakurai",

note = "Publisher Copyright: {\textcopyright} 2018 The Authors. Published by Elsevier B.V. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 ; Conference date: 16-05-2018 Through 18-05-2018",

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