An autonomy-oriented method for service composition and optimal selection in cloud manufacturing

Since the emergence of cloud manufacturing (CMfg), service composition and optimal selection (SCOS) has been focused on as the core issue of service reconfiguration and supply-demand joining. In view of limitations of existing centralized mode, this paper studies autonomy-oriented SCOS method in CMfg. At first, initiative-based service operation procedures are specified and followed by the definition of correlation-aware composition strategy. Then, service responses are integrated with their trust to produce execution prospects which is the trustworthy basis of SCOS. Fuzzy soft set-based decision making method enhanced with volatility analysis is proposed. After trust-based service filtration, flexible and balanced optimal selection is carried out based on level soft sets and with volatility analysis improving discrimination. A numerical case illustrates the method of this paper, and discussions of key means are given at last.