Abstract: Aiming at the issues of large amount, heterogeneous, and multi-service constraints of machine tool resources in cloud manufacturing environment, this paper proposes a novel selection method of machine tool resources based on multi-criteria decision making. Firstly, the ontology theory is used to model the machine tool resources, and the physical resources are encapsulated virtually to realize the logical mapping between virtual resources and physical resources. Moreover, the linguistic variables are employed to quantify the decision-maker's evaluation information. The combined weighting technique integrating the fuzzy decision-making and experimental evaluation laboratory (FDEMATEL) and the entropy weight method (EW) is developed to obtain the comprehensive weight. Then, the fuzzy VIKOR (FVIKOR) is introduced to perform a comprehensive evaluation of machine tool resources, and a hybrid multi-criteria decision-making model of FDEMATEL-EW-FVIKOR is established. Finally, the proposed approach is applied to a manufacturing factory. The feasibility and validity of the hybrid multi-criteria decision-making model are verified by the experimental decision results.

Key words: cloud manufacturing, machine tool resource, multi-criteria decision making, resource modeling and package, hybrid decision model