Abstract
Cloud Manufacturing allows geographically separated factories to cooperate for finishing one manufacturing task with less time, less cost, higher quality. The key issue is to achieve the optimal combination of manufacturing resources in cloud. In this paper, the constraint characteristics among manufacturing resources in cloud environment are analyzed, involving the attributes of manufacturing resources and constraints relationship among them. Based on Rough Set theory, an optimal selection method for manufacturing resources in the cloud manufacturing environment is proposed, along with its implementation framework and processing approach. A case study is demonstrated and discussed to validate the proposed method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Petros, T., Giannoula, F.: Manufacturing strategies and financial performance–the effect of advanced information technology: CAD/CAM systems. Omega 36(1), 107–121 (2008)
Liu, F., Lei, Q., Song, Y.C.: The connotation and research trend of networked manufacturing. Chin. J. Mech. Eng. 39(8), 1–6 (2003)
Manupati, V.K., Thakkar, J.J.: Near optimal process plan selection for multiple jobs in networked based manufacturing using multi-objective evolutionary algorithms. Comput. Ind. Eng. 66(1), 63–76 (2013)
Yin, C., Li, T., Liu, F.: Decision-making framework model for networked outsourcing resources selection. J. Mech. Eng. 26(1), 53–60 (2010)
Wadhwa, V., Ravindran, A.: Vendor selection in outsourcing. Comput. Oper. Res. 34(12), 3725–3737 (2007)
Yin C., Zhang Y., Zhong T.: Optimization model of cloud manufacturing services resource combination for new product development. Comput. Integr. Manuf. Syst. 18(7), 1368–1378 (2012)
Araz, C., Mizrak, O., Ozkarahan, I.: An integrated multicriteria decision-making methodology for outsourcing management. Comput. Oper. Res. 34(12), 3738–3756 (2007)
Zhiying, L., Rittscher, J.: A multi-objective supplier selection model under stochastic demand conditions. Int. J. Prod. Econ. 10(5), 150–159 (2007)
Liou, J.J.H., Chuang, Y.-T.: Developing a hybrid multi-criteria model for selection of outsourcing providers. Expert Syst. Appl. 37(5), 3755–3761 (2010)
Yu, V.F., Hu, K.-J.: An integrated approach for resource allocation in manufacturing plants. Appl. Math. Comput. 245, 416–426 (2014)
Lee, C.K.H., Choy, K.L., et al.: Application of intelligent data management in resource allocation for effective operation of manufacturing systems. J. Manufact. Syst. 33(3), 412–422 (2014)
Pawlak, Z.: Rough set. Int. J. Comput. Inform. Sci. II, 341–356
Kurgan, L.A., Cios, K.J.: CAIM discretization algorithm. IEEE Trans. Knowl. Data Eng. 16(2), 145–153 (2004)
Acknowledgements
This work was supported by the National High-Tech. R&D Program of China (grant No. 2015AA042102).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Li, X., Yin, C., Liu, F., Zhao, X. (2016). An Optimal Selection Method of Manufacturing Resources in Cloud Environment. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 645. Springer, Singapore. https://doi.org/10.1007/978-981-10-2669-0_6
Download citation
DOI: https://doi.org/10.1007/978-981-10-2669-0_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-2668-3
Online ISBN: 978-981-10-2669-0
eBook Packages: Computer ScienceComputer Science (R0)