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Abstract
For many decades, research has been done on the effect of learning and forgetting for manual assembly operations. Due to the evolution towards mass customization, cycle time prediction becomes more and more complex. The frequent change of tasks for an operator results in a rapid alternation between learning and forgetting periods, since the production of one model is causing a forgetting phase for another model. a new mathematical model for learning and forgetting is proposed to predict the future cycle time of an operator depending on the product mix of his actual assembly schedule. A main factor for this model is the job similarity between the task that is being learned and is being forgotten. In our experimental study the impact of job similarity onto the forgetting effect is measured. Two groups of operators were submitted to an equal time schedule, with other tasks to perform. At first, both groups were asked to perform the same main task. In the subsequent phase, they were submitted to different assembly tasks, each with another job similarity towards the main task, before again executing that main task. After a period of inactivity, the main task was assembled again by every subject. Results confirm that a higher job similarity results in a lower forgetting effect for the main task.
Keywords
cycle time prediction, mixed-model, manual assembly, learning, forgetting

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MLA
Hoedt, Steven, et al. “The Effect of Job Similarity on Forgetting in Multi-Task Production.” 25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings, vol. 39, 2019, pp. 983–90, doi:https://doi.org/10.1016/j.promfg.2020.01.390.
APA
Hoedt, S., Claeys, A., Schamp, M., Van De Ginste, L., Aghezzaf, E.-H., & Cottyn, J. (2019). The effect of job similarity on forgetting in multi-task production. In 25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings (Vol. 39, pp. 983–990). Chicago, Illinois, USA. https://doi.org/https://doi.org/10.1016/j.promfg.2020.01.390
Chicago author-date
Hoedt, Steven, Arno Claeys, Matthias Schamp, Lauren Van De Ginste, El-Houssaine Aghezzaf, and Johannes Cottyn. 2019. “The Effect of Job Similarity on Forgetting in Multi-Task Production.” In 25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings, 39:983–90. https://doi.org/https://doi.org/10.1016/j.promfg.2020.01.390.
Chicago author-date (all authors)
Hoedt, Steven, Arno Claeys, Matthias Schamp, Lauren Van De Ginste, El-Houssaine Aghezzaf, and Johannes Cottyn. 2019. “The Effect of Job Similarity on Forgetting in Multi-Task Production.” In 25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings, 39:983–990. doi:https://doi.org/10.1016/j.promfg.2020.01.390.
Vancouver
1.
Hoedt S, Claeys A, Schamp M, Van De Ginste L, Aghezzaf E-H, Cottyn J. The effect of job similarity on forgetting in multi-task production. In: 25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings. 2019. p. 983–90.
IEEE
[1]
S. Hoedt, A. Claeys, M. Schamp, L. Van De Ginste, E.-H. Aghezzaf, and J. Cottyn, “The effect of job similarity on forgetting in multi-task production,” in 25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings, Chicago, Illinois, USA, 2019, vol. 39, pp. 983–990.
@inproceedings{8638492,
  abstract     = {For many decades, research has been done on the effect of learning and forgetting for manual assembly operations. Due to the evolution towards mass customization, cycle time prediction becomes more and more complex. The frequent change of tasks for an operator results in a rapid alternation between learning and forgetting periods, since the production of one model is causing a forgetting phase for another model. a new mathematical model for learning and forgetting is proposed to predict the future cycle time of an operator depending on the product mix of his actual assembly schedule. A main factor for this model is the job similarity between the task that is being learned and is being forgotten. In our experimental study the impact of job similarity onto the forgetting effect is measured. Two groups of operators were submitted to an equal time schedule, with other tasks to perform. At first, both groups were asked to perform the same main task. In the subsequent phase, they were submitted to different assembly tasks, each with another job similarity towards the main task, before again executing that main task. After a period of inactivity, the main task was assembled again by every subject. Results confirm that a higher job similarity results in a lower forgetting effect for the main task.},
  author       = {Hoedt, Steven and Claeys, Arno and Schamp, Matthias and Van De Ginste, Lauren and Aghezzaf, El-Houssaine and Cottyn, Johannes},
  booktitle    = {25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings},
  issn         = {2351-9789},
  keywords     = {cycle time prediction,mixed-model,manual assembly,learning,forgetting},
  language     = {eng},
  location     = {Chicago, Illinois, USA},
  pages        = {983--990},
  title        = {The effect of job similarity on forgetting in multi-task production},
  url          = {http://dx.doi.org/https://doi.org/10.1016/j.promfg.2020.01.390},
  volume       = {39},
  year         = {2019},
}

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