Resource evaluating for networked manufacturing based on fuzzy AHP

In view that current resource evaluating for networked manufacturing is inefficient, this thesis carries systematic research to this question, including selecting process model, evaluating indexes and algorithm. A multi-stage resource selecting process model and a multi-level resource evaluating indexes for networked manufacturing are established. A resource evaluating algorithm for networked manufacturing based on fuzzy AHP is proposed. According to different type indexes, degree of membership function is defined. Finally, atypical simulation study was carried out to illustrate its validity.