Solving an Intelligent Scheduling Problem in an Automobile Factory
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0194-0_14
Reference9 articles.
1. Prashar A, Tortorella G, Fogliatto FS (2022) Production scheduling in industry 4.0: morphological analysis of the literature and future research agenda. J Manufact Syst 65:33–43
2. Bakon K, Holczinger T, Süle Z, Jaskó Z, Abonyi J (2022) Scheduling Under Uncertainty for Industry 4.0 and 5.0. IEEE Access 10:74977–75017
3. Guo Y, Guo T, Wei D (2021) Multi-layered coding-based study on optimization algorithms for automobile production logistics scheduling. Technol Forecast Soc Change 170. https://doi.org/10.1016/j.techfore.2021.120889
4. Yao X, Almatooq N, Askin RG, Gruber G (2022) Capacity planning and production scheduling integration: improving operational efficiency via detailed modelling. Int J Prod Res 60(24):7239–7261
5. Staeblein T, Aoki K (2015) Planning and scheduling in the automotive industry: a comparison of industrial practice at German and Japanese makers. Int J Prod Econ 162:258–272
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