Production Planning Digitalization Using Open-Source Big Data Technologies
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-24457-5_34
Reference20 articles.
1. Ma, S., Zhang, Y., Lv, J., Ge, Y., Yang, H., Li, L.: Big data driven predictive production planning for energy-intensive manufacturing industries. Energy 211, 118320 (2020). https://doi.org/10.1016/j.energy.2020.118320
2. Wang, J., Yang, J., Zhang, J., Wang, X., Zhang, W.: Big data driven cycle time parallel prediction for production planning in wafer manufacturing. Enterprise Information Systems 12, 1–19 (2018). https://doi.org/10.1080/17517575.2018.1450998
3. Huang, Y.-H., Chang, C., Hsieh, P.: Construction a big data predictive model to analysis the production planning and control plan of hospital organization. Appl. Mech. Mater. 437, 977–980 (2013). https://doi.org/10.4028/www.scientific.net/AMM.437.977
4. Yang, Y., Stienmetz, J.L.: Big data and tourism planning. Information Technology & Tourism 20(1–4), 189–190 (2018). https://doi.org/10.1007/s40558-018-0127-6
5. Wang, L.: Mean-variance hedging for production planning with multiple products. Prod. Oper. Manag. 30, 3497–3522 (2021). https://doi.org/10.1111/poms.13446
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