A Method of Partner Selection for Supply Chain Based on Grey-ANP in Cloud Computing

Abstract

Cloud computing provides a good integration environment for the flexibility, loose coupling and seamless integration and building of supply chain, which make it possible for node enterprises to choose a right partner in a rapid and low-cost way and then the overall supply chain performance will be improved. However, this also causes some problems such as the fuzziness of hierarchy and relationship between nodes because of the virtualization feature of node enterprises under Cloud Computing environment, and the incompleteness of index data. To address this issue, a novel partner selection model was proposed on the basis of analytic network process (ANP) and the grey evaluation theory. The weight of each index is calculated by ANP according to the constructed network hierarchy. Then, according to the evaluation value on all selection criteria of node enterprises to be evaluated which is made by the neighbor node enterprises, using the model of grey system to calculate weight matrix vector, thus getting the grey class and evaluation value about the partners. Finally, the experimental results demonstrate that this selection method is reasonable and feasible.