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Building a Decision Dashboard for Improving Green Supply Chain Management

Author

Listed:
  • Yen-Ching Chuang

    (Department of Industrial Engineering and Management, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei, Taiwan)

  • Shu-Kung Hu

    (Department of Business and Entrepreneurial Management, Kainan University, No.1, Kainan Rd., Luchu Dist., Taoyuan City 33857, Taiwan)

  • James J. H. Liou

    (Department of Industrial Engineering and Management, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei, Taiwan)

  • Huai-Wei Lo

    (Graduate Institute of Industrial and Business Management, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei, Taiwan)

Abstract

This paper proposes a decision model with a dashboard for systematically selecting and improving the performance of supplier in green supply chain management. The model combines both the decision-making trial and evaluation laboratory-based analytical network process (DANP) with a fuzzy integral method. The DANP method is used to construct the network system and derives the weights. The fuzzy integral method is applied to avoid inconsistent assumptions between the interdependence relation and linear aggregation for obtaining the aspiration-gaps of green suppliers. Last, the visualized dashboard allows for a clear representation of the interdependent-network structure of the attributes to assist companies in the selection of suitable suppliers, as well as assisting the suppliers in improving their performance with higher levels of service. A Taiwanese Electronics Company is demonstrated as an example. The results demonstrate that the dashboard can enable managers to make better decisions from a systematic perspective.

Suggested Citation

  • Yen-Ching Chuang & Shu-Kung Hu & James J. H. Liou & Huai-Wei Lo, 2018. "Building a Decision Dashboard for Improving Green Supply Chain Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1363-1398, September.
    • Handle: RePEc:wsi:ijitdm:v:17:y:2018:i:05:n:s0219622018500281
    DOI: 10.1142/S0219622018500281
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    References listed on IDEAS

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