Abstract: The optimization of cloud manufacturing service composition(CMSC) was performed under the conditions considering few exceptions and practical constraints, which made the existing approaches unsuitable for tackling CMSC optimization under various practical constraints, let alone adaptively reconfiguring the original execution path of CMSC when exceptions occur. To fill the gap, considering the non-negligible practical constraints, a service composition adaptive reconfiguration model (CMSCAR) when manufacturing service exceptions occur was presented with the optimization goals of processing quality, cost, and service quality. To address the model, on the basis of detailed analysis of the essential characteristics of the researched problem, via integrating optimization strategies, an HHO-based CMSC dynamic reconfiguration algorithm (SCDRAHHO) was proposed. Practical application cases show that the presented model and algorithm can efficiently and adaptively reconfigure the service composition (compared to GWO and PSO et al.) under practical constraints when manufacturing service exceptions occur, improving the robustness of cloud manufacturing service composition execution.

Key words: cloud manufacturing service composition, service exception, practical constraints, adaptively reconfigure, HHO