A Novel Analysis Framework of 4.0 Production Planning Approaches – Part II
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-80906-5_10
Reference50 articles.
1. Dallasega, P., Rojas, R.A., Rauch, E., Matt, D.T.: Simulation based validation of supply chain effects through ICT enabled real-time-capability in ETO production planning. In: FAIM, pp. 846–853 (2017). https://doi.org/10.1016/j.promfg.2017.07.187
2. Erol, S., Sihn, W.: Intelligent production planning and control in the cloud – towards a scalable software architecture. In: 10th CIRP Conf. on Intell. Comput. in Manufacturing Engineering, pp. 571–576. Ischia, Italy (2016). https://doi.org/10.1016/j.procir.2017.01.003
3. Georgiadis, P., Michaloudis, C.: Real-time production planning and control system for job-shop manufacturing: a system dynamics analysis. Eur. J. Oper. Res. 216, 94–104 (2012). https://doi.org/10.1016/j.ejor.2011.07.022
4. Kumar, S., Purohit, B.S., Manjrekar, V., Singh, V., Kumar Lad, B.: Investigating the value of integrated operations planning: a case-based approach from automotive industry. Int. J. Prod. Res. 7543, 1–22 (2018). https://doi.org/10.1080/00207543.2018.1424367
5. Lanza, G., Stricker, N., Moser, R.: Concept of an intelligent production control for global manufacturing in dynamic environments based on rescheduling. In: IEEE International Conference on Industrial Engineering and Engineering Management, pp. 315–319. Malaysia (2014). https://doi.org/10.1109/IEEM.2013.6962425
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