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Editorial for the special issue: AI and data-driven decisions in manufacturing

Author

Listed:
  • Alexandre Dolgui

    (IMT Atlantique, LS2N-CNRS)

  • Hichem Haddou Benderbal

    (Aix-Marseille University, University of Toulon)

  • Fabio Sgarbossa

    (Norwegian University of Science and Technology)

  • Simon Thevenin

    (IMT Atlantique, LS2N-CNRS)

Abstract

No abstract is available for this item.

Suggested Citation

  • Alexandre Dolgui & Hichem Haddou Benderbal & Fabio Sgarbossa & Simon Thevenin, 2024. "Editorial for the special issue: AI and data-driven decisions in manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3599-3604, December.
    • Handle: RePEc:spr:joinma:v:35:y:2024:i:8:d:10.1007_s10845-024-02499-9
    DOI: 10.1007/s10845-024-02499-9
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    References listed on IDEAS

    as
    1. Jr-Fong Dang, 2024. "The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4055-4069, December.
    2. Raúl Llasag Rosero & Catarina Silva & Bernardete Ribeiro & Bruno F. Santos, 2024. "Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4015-4034, December.
    3. Teemu Mäkiaho & Jouko Laitinen & Mikael Nuutila & Kari T. Koskinen, 2024. "Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4035-4054, December.
    4. Abhilash Puthanveettil Madathil & Xichun Luo & Qi Liu & Charles Walker & Rajeshkumar Madarkar & Yukui Cai & Zhanqiang Liu & Wenlong Chang & Yi Qin, 2024. "Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4159-4180, December.
    5. Joseph Cohen & Xun Huan & Jun Ni, 2024. "Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4071-4086, December.
    6. Yee Yeng Liau & Kwangyeol Ryu, 2024. "Framework of knowledge management for human–robot collaborative mold assembly using heterogeneous cobots," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3713-3729, December.
    7. G. Castañé & A. Dolgui & N. Kousi & B. Meyers & S. Thevenin & E. Vyhmeister & P-O. Östberg, 2023. "The ASSISTANT project: AI for high level decisions in manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 61(7), pages 2288-2306, April.
    8. Jiahua Zhang & Xuemei Liu & Beikun Zhang, 2024. "Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3837-3856, December.
    9. Marvin Carl May & Jan Oberst & Gisela Lanza, 2024. "Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4259-4276, December.
    10. Hamed Khosravi & Taofeeq Olajire & Ahmed Shoyeb Raihan & Imtiaz Ahmed, 2024. "A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4087-4112, December.
    11. Tasnim A. Abdel-Aty & Elisa Negri, 2024. "Conceptualizing the digital thread for smart manufacturing: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3629-3653, December.
    12. Alexander Rokoss & Marius Syberg & Laura Tomidei & Christian Hülsing & Jochen Deuse & Matthias Schmidt, 2024. "Case study on delivery time determination using a machine learning approach in small batch production companies," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3937-3958, December.
    13. Yingjun Shen & Taohong Wang & Zhe Song, 2024. "Online performance and proactive maintenance assessment of data driven prediction models," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3959-3993, December.
    14. Muhammad Raza Naqvi & Linda Elmhadhbi & Arkopaul Sarkar & Bernard Archimede & Mohamed Hedi Karray, 2024. "Survey on ontology-based explainable AI in manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3605-3627, December.
    15. Miguel Castillo & Roberto Monroy & Rafiq Ahmad, 2024. "A cyber-physical production system for autonomous part quality control in polymer additive manufacturing material extrusion process," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3655-3679, December.
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    1. Joseph Cohen & Xun Huan & Jun Ni, 2024. "Shapley-based explainable AI for clustering applications in fault diagnosis and prognosis," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4071-4086, December.
    2. Teemu Mäkiaho & Jouko Laitinen & Mikael Nuutila & Kari T. Koskinen, 2024. "Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 4035-4054, December.

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