Abstract
In this article, a conjunctive multiple-criteria decision-making approach for cloud service supplier selection of manufacturing enterprise is proposed. According to the two perspectives of technology and technology management, the index framework of cloud service supplier selection is constructed from four dimensions: cloud service performance, supplier capability, supplier service level, and supplier service quality. Then, a conjunctive multiple-criteria decision-making approach is built. Neural network is used to realize the expert importance degree determination; fuzzy analytic hierarchy process considering the expert importance degree is used to determine the subjective weight; and CRITIC (CRiteria Importance Through Inter-criteria Correlation) is used to determine the objective weight. The multi-weight contribution equilibration model is built to integrate the subjective and objective weight. Finally, the improved TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) replacing Euclidean distance with connection distance is used to sequence the suppliers by their weighted index-value matrix. An automotive manufacturing enterprise application is given finally. The proposed approach can provide a scientific and efficient solution for cloud service supplier selection of manufacturing enterprise.
Highlights
As a new network computing service mode, cloud computing has been paid more and more attention in recent years
We propose a back propagation (BP) neural network–based method to solve the expert importance degree determination problem in group decision, which has the ability of self-learning and makes the importance degree assignment more scientific and reasonable.[30]
27 25 we explore a scientific and rational solution for cloud service supplier selection of manufacturing enterprise
Summary
As a new network computing service mode, cloud computing has been paid more and more attention in recent years. A large number of computing resources, storage resources, and software resources were integrated by cloud computing through the information technologies such as virtualization and grid computing. A huge virtually shared resource pool was formed to provide the required information service for users.[1,2,3] Generally, with the integration of information resources such as infrastructure, platform, and software, just like social resources such as water, electricity, and gas, cloud computing has changed the traditional information service mode to provide users with on-demand services. Advances in Mechanical Engineering and other industries were in an information revolution.[4,5,6] A new development model based on industry characteristics is gradually formed by the depth integration with cloud computing technology
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