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Information Journal Paper

Title

Two-stage game-theoretic approach to supplier evaluation, selection, and order assignment

Pages

  3513-3524

Abstract

 This study proposes a framework for supplier evaluation, selection, and assignment that incorporates a two-stage game-theoretic approach method. The objective is to provide manufacturers with insights to choose suitable suppliers for di , erent manufacturing processes. The framework applies to the decision logic of multiple manufacturing processes. In the , rst stage, a non-cooperative game model is utilized for supplier evaluation and selection. The interactive behaviors between a manufacturer and some supplier candidates are modeled and analyzed so that the Supplier evaluation value (SEV) can be obtained using the Nash equilibrium. In the second stage, the SEVs become the input for the Shepley values calculation of each supplier under a cooperative game model. The Shapley values are utilized to create a set of limited supplier allocation. This paper provides managerial insights to verify the viability of the proposed approach for Supplier selection and allocation. Thus, it enables Supply Chain Management (SCM) manager to optimize supplier evaluation, selection, and order assignment.

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    APA: Copy

    Yu, J.C.P., WEE, H.M., Jeng, S., & Daryanto, Y.. (2021). Two-stage game-theoretic approach to supplier evaluation, selection, and order assignment. SCIENTIA IRANICA, 28(6 (Transactions E: Industrial Engineering)), 3513-3524. SID. https://sid.ir/paper/1050094/en

    Vancouver: Copy

    Yu J.C.P., WEE H.M., Jeng S., Daryanto Y.. Two-stage game-theoretic approach to supplier evaluation, selection, and order assignment. SCIENTIA IRANICA[Internet]. 2021;28(6 (Transactions E: Industrial Engineering)):3513-3524. Available from: https://sid.ir/paper/1050094/en

    IEEE: Copy

    J.C.P. Yu, H.M. WEE, S. Jeng, and Y. Daryanto, “Two-stage game-theoretic approach to supplier evaluation, selection, and order assignment,” SCIENTIA IRANICA, vol. 28, no. 6 (Transactions E: Industrial Engineering), pp. 3513–3524, 2021, [Online]. Available: https://sid.ir/paper/1050094/en

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