Journal
PRODUCTION PLANNING & CONTROL
Volume 25, Issue 10, Pages 821-839Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/09537287.2013.766037
Keywords
partner selection; artificial neural network; fuzzy set theory; agile supply chains
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Funding
- National Natural Science Foundation of China [71202058]
- Natural Science Foundation of Fujian Province of China [2012J01305]
- Specialized Research Fund for the Doctoral Programme of Higher Education [20110121120028]
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Partner selection is a fundamental issue in supply chain management as it contributes significantly to overall supply chain performance. However, such decision-making is problematic due to the need to consider both tangible and intangible factors, which cause vagueness, ambiguity and complexity. This paper proposes a new fuzzy intelligent approach for partner selection in agile supply chains by using fuzzy set theory in combination with radial basis function artificial neural network. Using these two approaches in combination enables the model to classify potential partners in the qualification phase of partner selection efficiently and effectively using very large amounts of both qualitative and quantitative data. The paper includes a worked empirical application of the model with data from 84 representative companies within the Chinese electrical components and equipment industry, to demonstrate its suitability for helping organisational decision-makers in partner selection.
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