Learning to Select Supplier Portfolios for Service Supply Chain

Rui Zhang, Jingfei Li, Shaoyu Wu and Dabin Meng

PLOS ONE, 2016, vol. 11, issue 5, 1-19

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0155672

DOI: 10.1371/journal.pone.0155672

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