Abstract
3D printing, as a symbol for the 4th of industrial revolution, is now changing many aspects of our life, ranging from rapid manufacturing, mass customization to health care devices. There is no 3D printer that can produce a 3D object without a digital 3D model. Thus, the construction of the 3D model to achieve mass customization inevitably involves service matching and task scheduling in Cloud manufacturing (CMfg) platform. However, such a complex and dynamic CMfg environment poses a challenge to traditional service matching and selection. In this research, a non-cooperative dynamic game model based selection is presented. To obtain Nash equilibrium point, an evolution solving algorithm is designed to find an optimal solution. Experimental results indicate that the proposed method is practical and valid.
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Acknowledgement
This work is supported by the National Natural Science Foundation of China under Grant No. 61873014.
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Liu, S., Liu, Y., Zhang, L. (2019). Distributed 3D Printing Services in Cloud Manufacturing: A Non-cooperative Game-Theory-Based Selection Method. In: Tan, G., Lehmann, A., Teo, Y., Cai, W. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2019. Communications in Computer and Information Science, vol 1094. Springer, Singapore. https://doi.org/10.1007/978-981-15-1078-6_12
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DOI: https://doi.org/10.1007/978-981-15-1078-6_12
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