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Learning to Select Supplier Portfolios for Service Supply Chain

Author

Listed:
  • Rui Zhang
  • Jingfei Li
  • Shaoyu Wu
  • Dabin Meng

Abstract

The research on service supply chain has attracted more and more focus from both academia and industrial community. In a service supply chain, the selection of supplier portfolio is an important and difficult problem due to the fact that a supplier portfolio may include multiple suppliers from a variety of fields. To address this problem, we propose a novel supplier portfolio selection method based on a well known machine learning approach, i.e., Ranking Neural Network (RankNet). In the proposed method, we regard the problem of supplier portfolio selection as a ranking problem, which integrates a large scale of decision making features into a ranking neural network. Extensive simulation experiments are conducted, which demonstrate the feasibility and effectiveness of the proposed method. The proposed supplier portfolio selection model can be applied in a real corporation easily in the future.

Suggested Citation

  • Rui Zhang & Jingfei Li & Shaoyu Wu & Dabin Meng, 2016. "Learning to Select Supplier Portfolios for Service Supply Chain," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
  • Handle: RePEc:plo:pone00:0155672
    DOI: 10.1371/journal.pone.0155672
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    References listed on IDEAS

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    1. Ray R. Larson, 2010. "Introduction to Information Retrieval," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(4), pages 852-853, April.
    2. Ray R. Larson, 2010. "Introduction to Information Retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(4), pages 852-853, April.
    3. Morad Benyoucef & Mustafa Canbolat, 2007. "Fuzzy AHP-based supplier selection in e-procurement," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 3(2), pages 172-192.
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    Cited by:

    1. Lechtenberg, Sandra & Hellingrath, Bernd, 2021. "Applications of artificial intelligence in supply chain management: Identification of main research fields and greatest industry interests," ERCIS Working Papers 37, University of Münster, European Research Center for Information Systems (ERCIS).

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