Production Planning based on Relevant Data Analytics
Author:
Affiliation:
1. Department of Industrial Engineering and Information Systems, Faculty of Management and Economics, Tomas Bata University in Zlín, Tomas Bata University in Zlin, Czech Republik
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3625156.3625168
Reference20 articles.
1. Towards smart production planning and control; a conceptual framework linking planning environment characteristics with the need for smart production planning and control
2. Knowledge framework for production planning and controlling considering sustainability aspects in smart factories
3. Chen , T.-Ch.T. ( 2023 ). Production Planning and Control in Semiconductor Manufacturing – Big Data Analytics and Industry 4.0 Applications . Springer Verlag , ISBN 978-3-031-14065-5 Chen,T.-Ch.T. (2023). Production Planning and Control in Semiconductor Manufacturing – Big Data Analytics and Industry 4.0 Applications. Springer Verlag, ISBN 978-3-031-14065-5
4. An intelligent demand forecasting model using a hybrid of metaheuristic optimization and deep learning algorithm for predicting concrete block production
5. Network-based dynamic dispatching rule generation mechanism for real-time production scheduling problems with dynamic job arrivals
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