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TV-ALP: A log dataset of television assembly line production under multi-person collaboration for process mining research

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Abstract

Process mining technology has been widely used to optimize the processes of various organizations, especially in enterprises. It facilitates cooperation between departments and prompts efficient process design and resource scheduling in the production workshop. However, as a data-driven approach, the lack of production logs hinders the development of enterprise process mining research. Therefore, we introduce a new benchmark dataset named TV-ALP to provide effective data support for the combination of process mining and workshop production. The dataset comes from the field survey experience and product operation instructions, which highly restores the operation of the production workshop and details the processing of television (TV) sets in the assembly line. We compare TV-ALP with other public datasets for detailed statistical analysis and provide benchmark performance for the remaining time prediction task. The experimental results show that TV-ALP can meet the requirements of process mining and analysis research in terms of both scale and quality. In addition, while maintaining the data commonality of public datasets, it also emphasizes the importance of role information and supports a series of role-based log studies. The complete dataset is accessible for download at https://github.com/Zzou-Sdust/TV-ALP-dataset.

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Data availability and access statement

The datasets generated during and/or analysed during the current study are available in the [TV-ALP-dataset] repository, [https://github.com/Zzou-Sdust/TV-ALP-dataset].

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Acknowledgements

This work is supported by National Key R &D Program of China [2022ZD0119501]; NSFC [52374221]; Sci. & Tech. Development Fund of Shandong Province of China [ZR2022MF288, ZR2023MF097]; the Taishan Scholar Program of Shandong Province [ts20190936].

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Author notes

  1. Minghao Zou, Weijian Ni and Shuang Chen contributed equally to this work.

Authors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao, 266590, Shandong, China

    Minghao Zou, Qingtian Zeng, Weijian Ni & Shuang Chen

  2. College of Mathematics and Systems Science, Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao, 266590, Shandong, China

    Hua Duan

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  1. Minghao Zou
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Contributions

Minghao Zou: Conceptualization, Methodology, Writing-original draft, Investigation. Qingtian Zeng: Conceptualization, Methodology, Writing-Reviewing, Investigation. Hua Duan: Methodology, Writing-Reviewing. Weijian Ni: Writing-Reviewing, Investigation. Shuang Chen: Data curation.

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Correspondence to Qingtian Zeng or Hua Duan.

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Zou, M., Zeng, Q., Duan, H. et al. TV-ALP: A log dataset of television assembly line production under multi-person collaboration for process mining research. Appl Intell 54, 3990–4011 (2024). https://doi.org/10.1007/s10489-024-05347-8

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