Abstract
In cloud manufacturing (CMfg), various services with different functions are aggregated into an optimal service composition to handle complex manufacturing tasks, while maximizing service quality. However, the collaborative effect between services has a significant impact on the service composition, and the conflict between tasks may also affect the operation of the service composition in a real manufacturing environment. To handle these problems, this paper proposes an adaptive model of manufacturing service composition based on conflict detection. First, the preference information of both service parties and the collaborative performance between the services are considered to obtain a more realistic and satisfactory service composition. Subsequently, resource conflicts are detected in real time, and resolved according to their types, so as to realize the self-adaptation of the service composition. Finally, the illustrative case and experimental results are conducted to verify the feasibility and effectiveness of the proposed model.
Published Version
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