1） Jing Pneumatic Investigative Press Release, Taiwan Institute of Economic Research, Sep. 27, (2021). (https://www.tier.org.tw/forecast/forecast.aspx)
2） Investigation report of the impact of the domestic new crown epidemic on the industry, Chinese National Federation of Industry, (2021). (http://www.cnfi.org.tw/front/bin/ptdetail. phtml?Part=20210617-2&Rcg=100001)
3） Chen M. L, The economic impact and impact of COVID-19 on Taiwan, Bulletin of Humanities and Social Sciences, Volume 22, Issue 1. December, (2020).
4） Media Center, International Organization of Motor Vehicle Manufacturers: Global auto production in 2020 severely hit by COVID-19 crisis with a 16% drop in world auto production, Paris, 24 March (2021).
5） Report of Industrial Production Statistics, Statistics Division, Ministry of Economic Affairs, Taiwan, (2021).
6） Report of Industry & Technology Intelligence Service program, Ministry of Economic Affairs, Taiwan, (2007).
7） Andrea Dallan,“Think Thin. Handbook 4.0 for an automatic and sustainable and profitable sheet metal processing,”DALLAN, June (2021).
8） Mario Cesén et al., Cost optimization of the AISI-1018 turning process under sustainable manufacturing, Materials Today: Proceedings, Available online 6 August, (2021).
9） R. A. Müller, Identification of Adaptive Forecasting Models for Raw Material Prices and Industrial Fluctuation Indices, Estimation 1982, Washington D,C USA (1982).
10） Yifeng Liu, JianYang, Joint pricing-procurement control under fluctuating raw material costs, Int. J. Production Economics, Vol.168, pp. 91–104, (2015).
11） Huajiao Li, et al., Steel product prices transmission activities in the midstream industrial chain and global markets, Resources Policy, Vol. 60, pp. 56–71, (2019).
12） Huajiao Li, et al., The impact of Chinese steel product prices based on the midstream industry chain, Resources Policy, Vol. 63, (2019).
13） Deng, J. L., Introduction to Grey system theory. Journal of Grey System, Vol. 1, no.1, pp. 1-24. (1989)
14） Liu, S., Lin, Y., & Forrest, J. Y. L., Theory and applications, Journal of Grey System, Vol. 68, (2010).
15）Zhiqiang Chen, Xiaojia Wang, Applying the Grey forecasting model to the energy supply management engineering, Systems Engineering Procedia, Vol.5, pp.179-184, ( 2012 )
16） Xiaoxi Zhu, et al., Forecasting iron ore import and consumption of China using Grey model optimized by particle swarm optimization algorithm, Resources Policy, Vol.38, pp. 613-620, (2013).
17）Zheng-Xin Wang, Peng Hao, An improved Grey multivariable model for predicting industrial energy consumption in China, Applied Mathematical Modelling, Vol. 40, pp. 5745-5758, (2016).
18） Gurcan Comert, et al., Improved Grey system models for predicting traffic parameters, expert systems with applications, Vol. 177, (2021).
19） Dajiang Lei, et al., Neural ordinary differential Grey model and its applications, Expert Systems with Applications, Vol. 177,(2021).
20） Halis Bilgil, New Grey forecasting model with its application and computer code, AIMS Mathematics, Vol. 6, no.2, pp.1497-1514, (2020).
21） Kayacan E., Ulutas B., & Kaynak O., Grey system theory-based models in time series prediction. Expert Systems with Applications, Vol. 37, no.2, pp. 1784-1789, (2010).
論文の公開元へ
