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Improving schedule accuracy of a reconfigurable assembly system

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Abstract
Scheduling requires a large amount of information to produce reliable results. This information is not always available or detailed enough. In a reconfigurable system, many scenarios are possible, which makes it almost impossible to have detailed timing information for every combination of tasks, products, configurations, etc. To improve the availability of information, a methodology is proposed that extends the available input information collected from theoretical estimations and past production runs with data from on-demand emulation runs. Those emulations are conducted on a digital model connected to the real control logic, allowing the collection of information without interrupting the physical system. The configuration of the system for the current product is compared to the configurations in the data store to analyze the similarity, improve the reuse of data, and limit the number of emulations to generate an accurate schedule. The methodology is demonstrated on a reconfigurable near-industrial assembly system.
Keywords
Virtual commissioning, digital model, industrial control software, simulation, scheduling, FLEXIBLE MANUFACTURING SYSTEM, DIGITAL TWIN, TIME-ESTIMATION, SIMULATION, MODEL

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MLA
Schamp, Matthias, et al. “Improving Schedule Accuracy of a Reconfigurable Assembly System.” INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2025, pp. 1–26, doi:10.1080/0951192x.2025.2452605.
APA
Schamp, M., Hoedt, S., Vandenhoeke, D., Demasure, T., Huysentruyt, S., Lamote, J., … Cottyn, J. (2025). Improving schedule accuracy of a reconfigurable assembly system. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 1–26. https://doi.org/10.1080/0951192x.2025.2452605
Chicago author-date
Schamp, Matthias, Steven Hoedt, Dieter Vandenhoeke, Thibaut Demasure, Stijn Huysentruyt, J. Lamote, El-Houssaine Aghezzaf, and Johannes Cottyn. 2025. “Improving Schedule Accuracy of a Reconfigurable Assembly System.” INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 1–26. https://doi.org/10.1080/0951192x.2025.2452605.
Chicago author-date (all authors)
Schamp, Matthias, Steven Hoedt, Dieter Vandenhoeke, Thibaut Demasure, Stijn Huysentruyt, J. Lamote, El-Houssaine Aghezzaf, and Johannes Cottyn. 2025. “Improving Schedule Accuracy of a Reconfigurable Assembly System.” INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING: 1–26. doi:10.1080/0951192x.2025.2452605.
Vancouver
1.
Schamp M, Hoedt S, Vandenhoeke D, Demasure T, Huysentruyt S, Lamote J, et al. Improving schedule accuracy of a reconfigurable assembly system. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING. 2025;1–26.
IEEE
[1]
M. Schamp et al., “Improving schedule accuracy of a reconfigurable assembly system,” INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, pp. 1–26, 2025.
@article{01JHX9JR4S9SP3ZC2VBN1DE2ES,
  abstract     = {{Scheduling requires a large amount of information to produce reliable results. This information is not always available or detailed enough. In a reconfigurable system, many scenarios are possible, which makes it almost impossible to have detailed timing information for every combination of tasks, products, configurations, etc. To improve the availability of information, a methodology is proposed that extends the available input information collected from theoretical estimations and past production runs with data from on-demand emulation runs. Those emulations are conducted on a digital model connected to the real control logic, allowing the collection of information without interrupting the physical system. The configuration of the system for the current product is compared to the configurations in the data store to analyze the similarity, improve the reuse of data, and limit the number of emulations to generate an accurate schedule. The methodology is demonstrated on a reconfigurable near-industrial assembly system.}},
  author       = {{Schamp, Matthias and Hoedt, Steven and Vandenhoeke, Dieter and Demasure, Thibaut and Huysentruyt, Stijn and Lamote, J. and Aghezzaf, El-Houssaine and Cottyn, Johannes}},
  issn         = {{0951-192X}},
  journal      = {{INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING}},
  keywords     = {{Virtual commissioning,digital model,industrial control software,simulation,scheduling,FLEXIBLE MANUFACTURING SYSTEM,DIGITAL TWIN,TIME-ESTIMATION,SIMULATION,MODEL}},
  language     = {{eng}},
  pages        = {{1--26}},
  title        = {{Improving schedule accuracy of a reconfigurable assembly system}},
  url          = {{http://doi.org/10.1080/0951192x.2025.2452605}},
  year         = {{2025}},
}

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