Demand Forecasting for Multi-Variety and Small-Batch Materials Based on Attention to Degree

[1] Zhang, G., Li, L., et al. (2018). Process capability analysis based on similarity cell under the multiple-variety and small-batch production mode. Chinese Journal of Engineering Design, 25(1), 18-26. Search in Google Scholar

[2] Zhou, J. (2023). Application research of difference analysis in multi-variety and small-batch product production. Financial Circles, (35), 54-56. Search in Google Scholar

[3] Xu, J., Zhang, L., et al. (2023). An assembly man-hour estimation model based on GA-SVM for multi-specification and small-batch production. Transactions of Nanjing University of Aeronautics and Astronautics, 40(04), 500-510. Search in Google Scholar

[4] Chen, K., Liu, W., Jiang, X., et al. (2022). Method of key process identification and cluster analysis in multi-variety and small-batch manufacturing processes. Computer Integrated Manufacturing Systems, 28(3), 812-825. Search in Google Scholar

[5] Gao, Y., Zhang, T. (2022). Multi-variety and small-batch product quality prediction based on GBOLSSVM. Modular Machine Tool & Automatic Manufacturing Technique, (06), 175-179. Search in Google Scholar

[6] Athanasiadis, I., & Ioannides, D. (2021). A machine learning approach using random forest and LASSO to predict wine quality. International Journal of Sustainable Agricultural Management and Informatics, 7(3), 232-251. Search in Google Scholar

[7] Pascua, K. B., Lagura, H. D., Lumacad, G. S., et al. (2023). Combined synthetic minority oversampling technique and deep neural network for red wine quality prediction. In 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (pp. 609-614). Bhubaneswar, India: IEEE. Search in Google Scholar

[8] Chen, Y., Xiang, W., & Gong, C. (2023). Online diagnostic inspection and prediction of product quality in injection molding intelligent factories based on data mining. China Mechanical Engineering, 34(14), 1749-1755. Search in Google Scholar

[9] Yang, J., Cui, S., Duan, J., et al. (2024). Small-batch production quality prediction based on SMOTE-IKPCA-SeNet deep transfer learning. Industrial Engineering and Management, 27(02), 98-106+157. Search in Google Scholar

[10] Liao, J. (2004). Introduction to Inventory Management. Guangzhou: Guangzhou Economic Publishing House. Search in Google Scholar

[11] Xue, Y. (2023). Problem analysis for production arrangements of small-batch materials (in Chinese). Mathematical Modeling and Its Applications, 12(2), 99-108. Search in Google Scholar