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Strategic Decision-Making from the Perspective of Fuzzy Two-Echelon Supply Chain Model

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Intelligent Decision Technologies (IDT 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 39))

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Abstract

Game theory is applied widely to solving various problems to get optimal decisions. This paper analyzes the Stackelberg behaviors between a manufacturer and two retailers. As the market demand used to be uncertain, in order to describe the market demand fitting to real situations, this paper applys fuzzy variable in the two-echelon supply chain problem. Then, a numerical example is used to illustrate the result in comparison between fuzzy variable and crisp number. Fuzzy variable and crisp number are compared with mean absolute percentage difference rate of fuzzy demand (MAPDR-FD).

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Author information

Authors and Affiliations

  1. The Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Fukuoka, 808-0135, Japan

    Junzo Watada & Xian Chen

Authors
  1. Junzo Watada
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  2. Xian Chen
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Corresponding author

Correspondence to Junzo Watada .

Editor information

Editors and Affiliations

  1. FCT, Universidade Nova de Lisboa, Caparica, Portugal

    Rui Neves-Silva

  2. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

  3. KES International, Shoreham-by-sea, United Kingdom

    Robert J. Howlett

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Watada, J., Chen, X. (2015). Strategic Decision-Making from the Perspective of Fuzzy Two-Echelon Supply Chain Model. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_54

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  • DOI: https://doi.org/10.1007/978-3-319-19857-6_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19856-9

  • Online ISBN: 978-3-319-19857-6

  • eBook Packages: EngineeringEngineering (R0)

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