Abstract
This paper presents a production scheduling system that optimizes operations of a modular factory. The proposed system consists of a database, a scheduling optimizer and an interface connecting two other components. A scheduling model for optimal schedules plays a key role in the scheduling system. In this research, we aim to develop the scheduling model using constraint programming, and design a data mart storing the related operational data. In particular, we set the modular factory environment to the hybrid flow shop and apply the constraint programming for scheduling. We provide a case study to test the performance of the proposed scheduling model with the synthesized dataset based on a modular factory environment in SmartFactoryKL.
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Acknowledgements
This research was supported by the KIAT (Korea Institution for Advanced of Technology) grant funded by the Korea Government (MOTIE: Ministry of Trade Industry and Energy). (Advanced Training Program for Smart Factory, No. N0002429) and was also funded by European Union Framework Programme for Research and Innovation Horizon 2020 under Grant agreement no 723909.
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Park, H., Um, J., Jung, JY., Ruskowski, M. (2020). Developing a Production Scheduling System for Modular Factory Using Constraint Programming. In: Berns, K., Görges, D. (eds) Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980. Springer, Cham. https://doi.org/10.1007/978-3-030-19648-6_15
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DOI: https://doi.org/10.1007/978-3-030-19648-6_15
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