Art
J-GLOBAL ID:202102235558722370   Reference number:21A3179449

Smart Manufacturing Scheduling Approaches-Systematic Review and Future Directions

スマート製造スケジューリングアプローチ-システムレビューと将来の方向【JST・京大機械翻訳】
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Material:
Volume: 11  Issue:Page: 2186  Publication year: 2021 
JST Material Number: U7135A  ISSN: 2076-3417  Document type: Article
Article type: 文献レビュー  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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The recent advances in technol...
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Process control 
Reference (109):
  • Kagermann, H.; Wahlster, W.; Helbig, J. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0-Securing the Future of German Manufacturing Industry. In Final Report of the Industrie 4.0 Working Group; Acatech-National Academy of Science and Engineering: Munich, Germany, 2013.
  • Li, Q.; Tang, Q.; Chan, I.; Wei, H.; Pu, Y.; Jiang, H.; Li, J.; Zhou, J. Smart manufacturing standardization: Architectures, reference models and standards framework. Comput. Ind. 2018, 101, 91-106.
  • Wuest, T.; Weimer, D.; Irgens, C.; Thoben, K.-D. Machine learning in manufacturing: Advantages, challenges, and applications. Prod. Manuf. Res. 2016, 4, 23-45.
  • Dionisio Rocha, A.; Peres, R.; Barata, J. An agent based monitoring architecture for plug and produce based manufacturing systems. In Proceedings of the 2015 IEEE 13th International Conference on Industrial Informatics (INDIN), Cambridge, UK, 22-24 July 2015; pp. 1318-1323.
  • Zhang, J.; Ding, G.; Zou, Y.; Qin, S.; Fu, J. Review of job shop scheduling research and its new perspectives under Industry 4.0. J. Intell. Manuf. 2019, 30, 1809-1830.
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