Hierarchical Optimization Model of Cloud Manufacturing Services Combination

Abstract:

In this paper, a new mathematical combined model and the corresponding solution algorithm were proposed by analyzing the characteristics of services resource combination in cloud manufacturing. Aiming at avoiding problems of uncertainty, coarse-grained, diversity and dynamic in the process of services resource combination, a hierarchical model based on the hierarchical manufacturing implementation processes was firstly proposed. Then, quality of service (QoS) has been chosen to evaluate effects of services combination. Finally, a annealing algorithm was developed to solve the proposed model. Simulation experiment results prove the validity of the model and algorithm.

• Periodical: Applied Mechanics and Materials (Volume 464)
• Pages: 345-351
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.464.345
• Online since: November 2013
• Authors: Han Zhang*, Rui Feng Guo, Cong Geng
• Keywords: Annealing Algorithm, Cloud Manufacturing, Hierarchical Model, Service Combination

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