Abstract
This paper systematically studies the intelligent factory evaluation model based on RAGA-AHP, provides decision support and references for government’s technical and financial support for enterprise intelligent factory projects. Established evaluation indexes system of intelligent factory and its evaluation model based on RAGA-AHP. It analyzed the evaluation indexes of intelligent factory, the weights ratio of evaluation indexes, and the consistency check of evaluation matrix. The research results show that the accuracy of the data based on the RAGA-AHP intelligent factory evaluation model is higher and the result is more reasonable. When the government evaluates the enterprise intelligent factory project, it is recommended to determine the evaluation indexes of the intelligent factory, and then uses the RAGA-AHP model to analyze the weights of the evaluation indexes and tests its consistency, thus, the evaluation results of the enterprise’s intelligent factory construction level are obtained.
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
Weiming, Y., Peiwu, D., Jing, W.: Research on evaluation model of enterprise intelligent manufacturing capacity based on high order tensor analysis. Ind. Technol. Econ. 37(01), 11–16 (2018)
Hao, L., Qingmin, H., Wangjun, Y., Lei, Z.: Research on evaluation criteria and evaluation methods for smart factory in mobile terminal manufacturing industry. Microcomput. Appl. 36(23), 89–92 (2017)
Juliang, J., Xiaohua, Y., Jing, D.: Accelerating genetic algorithm based on real-coded. J. Sichuan Univ. (Engineering Science Edition) (04), 20–24 (2000)
Juliang, J., Wei Yiming, F., Qiang, D.J.: Accelerating genetic algorithm for calculating rank weights in analytic hierarchy process. Syst. Eng. Theory Pract. (11), 39–43 (2002)
Ministry of Industry and Information Technology National Standardization Management Committee. National Intelligent Manufacturing Standard System Construction Guide (2015 Edition), 2015-12-29
Cichocki, A., Mandic, D., De Lathauwer, L., et al.: Tensor decompositions for signal processing applications from two-way to multiway component analysis. Signal Process. Mag. (IEEE) 32(2), 145–163 (2014)
IEC/PAS 63088-2017: Smart manufacturing-reference architecture model industry 4.0 (RAMI 4.0) (2017)
Schroth, C.: The Internet of services: global industrialization of information intensive services. In: International Conference on Digital Information Management, vol. 2, pp. 635–642 (2007)
Kun, S.: Comprehensive evaluation of intelligent manufacturing capability based on factor analysis method. J. Logist. Sci. 40(7), 116–120 (2017)
Acknowledgements
The work is partially supported by Changzhou College of Information Technology Research Platform (CXPT201702R) and Jiangsu University Philosophy and Social Science Key Construction Base (2018ZDJD-B017).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Lu, S. (2019). Decision Support of Intelligent Factory Evaluation Based on RAGA-AHP. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_60
Download citation
DOI: https://doi.org/10.1007/978-981-13-5841-8_60
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-5840-1
Online ISBN: 978-981-13-5841-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)