Game theoretic approach for global manufacturing planning under risk and uncertainty

S. Yin; T. Nishi

doi:10.1016/j.procir.2012.07.044

Game theoretic approach for global manufacturing planning under risk and uncertainty

S. Yin, T. Nishi

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

4 Citations (Scopus)

Abstract

In this paper, we present a game theoretic model in which one manufacturer and its suppliers are coordinated. Quality levels of products from suppliers are considered. Due to fluctuation of demand resulting from varying quality levels, manufacturers are subject to demand-side risks. The objective of the research is to help decision making between manufacturers and suppliers in order to improve level of quality. Stackelberg game is applied to coordinate the manufacturer and suppliers Then, Pareto efficient solutions are utilized to generate supplier's optimal response functions. Computational experiments are conducted to demonstrate the effectiveness of the proposed method.

Original language	English
Pages (from-to)	251-256
Number of pages	6
Journal	Procedia CIRP
Volume	3
Issue number	1
DOIs	https://doi.org/10.1016/j.procir.2012.07.044
Publication status	Published - 2012
Externally published	Yes
Event	45th CIRP Conference on Manufacturing Systems, CMS 2012 - Athens, Greece Duration: May 16 2012 → May 18 2012

Keywords

Game theoretical approach
Global manufacturing
Quality
Supply chain optimization

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

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10.1016/j.procir.2012.07.044

Cite this

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title = "Game theoretic approach for global manufacturing planning under risk and uncertainty",

abstract = "In this paper, we present a game theoretic model in which one manufacturer and its suppliers are coordinated. Quality levels of products from suppliers are considered. Due to fluctuation of demand resulting from varying quality levels, manufacturers are subject to demand-side risks. The objective of the research is to help decision making between manufacturers and suppliers in order to improve level of quality. Stackelberg game is applied to coordinate the manufacturer and suppliers Then, Pareto efficient solutions are utilized to generate supplier's optimal response functions. Computational experiments are conducted to demonstrate the effectiveness of the proposed method.",

keywords = "Game theoretical approach, Global manufacturing, Quality, Supply chain optimization",

author = "S. Yin and T. Nishi",

note = "Funding Information: The authors would like to thank the funding provided by I Grant-in-Aid for Scientific Research (C) KAKENHI (23560484). Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 45th CIRP Conference on Manufacturing Systems, CMS 2012 ; Conference date: 16-05-2012 Through 18-05-2012",

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AU - Yin, S.

AU - Nishi, T.

N1 - Funding Information: The authors would like to thank the funding provided by I Grant-in-Aid for Scientific Research (C) KAKENHI (23560484). Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2012

Y1 - 2012

N2 - In this paper, we present a game theoretic model in which one manufacturer and its suppliers are coordinated. Quality levels of products from suppliers are considered. Due to fluctuation of demand resulting from varying quality levels, manufacturers are subject to demand-side risks. The objective of the research is to help decision making between manufacturers and suppliers in order to improve level of quality. Stackelberg game is applied to coordinate the manufacturer and suppliers Then, Pareto efficient solutions are utilized to generate supplier's optimal response functions. Computational experiments are conducted to demonstrate the effectiveness of the proposed method.

AB - In this paper, we present a game theoretic model in which one manufacturer and its suppliers are coordinated. Quality levels of products from suppliers are considered. Due to fluctuation of demand resulting from varying quality levels, manufacturers are subject to demand-side risks. The objective of the research is to help decision making between manufacturers and suppliers in order to improve level of quality. Stackelberg game is applied to coordinate the manufacturer and suppliers Then, Pareto efficient solutions are utilized to generate supplier's optimal response functions. Computational experiments are conducted to demonstrate the effectiveness of the proposed method.

KW - Game theoretical approach

KW - Global manufacturing

KW - Quality

KW - Supply chain optimization

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DO - 10.1016/j.procir.2012.07.044

M3 - Conference article

AN - SCOPUS:84879192861

VL - 3

SP - 251

EP - 256

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

IS - 1

T2 - 45th CIRP Conference on Manufacturing Systems, CMS 2012

Y2 - 16 May 2012 through 18 May 2012

ER -

Game theoretic approach for global manufacturing planning under risk and uncertainty

Abstract

Keywords

ASJC Scopus subject areas

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