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Learning management knowledge for manufacturing systems in the early stages using time series data

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  • Li, Der-Chiang
  • Lin, Yao-San

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  • Li, Der-Chiang & Lin, Yao-San, 2008. "Learning management knowledge for manufacturing systems in the early stages using time series data," European Journal of Operational Research, Elsevier, vol. 184(1), pages 169-184, January.
    • Handle: RePEc:eee:ejores:v:184:y:2008:i:1:p:169-184
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    References listed on IDEAS

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    1. Li, Der-Chang & Lin, Yao-San, 2006. "Using virtual sample generation to build up management knowledge in the early manufacturing stages," European Journal of Operational Research, Elsevier, vol. 175(1), pages 413-434, November.
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    Cited by:

    1. He, Yan-Lin & Wang, Ping-Jiang & Zhang, Ming-Qing & Zhu, Qun-Xiong & Xu, Yuan, 2018. "A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry," Energy, Elsevier, vol. 147(C), pages 418-427.
    2. Chang, Che-Jung & Li, Der-Chiang & Huang, Yi-Hsiang & Chen, Chien-Chih, 2015. "A novel gray forecasting model based on the box plot for small manufacturing data sets," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 400-408.
    3. Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019. "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 22-33.
    4. Lin, Yao-San & Li, Der-Chiang, 2010. "The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems," European Journal of Operational Research, Elsevier, vol. 207(1), pages 121-130, November.

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    5. Lin, Yao-San & Li, Der-Chiang, 2010. "The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems," European Journal of Operational Research, Elsevier, vol. 207(1), pages 121-130, November.

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