Absenteeism and turnover performance analysis of multi-model and mixed-model assembly lines

Yuval Cohen, Maurizio Faccio, Mauro Gamberi

Research output: Contribution to journalArticlepeer-review


Assembly lines are characterised by high rates of turnover and absenteeism. Any case of absenteeism or turnover requires assigning a replacement worker who is often inexperienced. Learning process is crucial for increasing productivity in such replacement cases, but learning is dependent on the variety of product models produced on that line. The complexity effect of the tasks at the assembly station, owing to a multi-model pattern, can result in a forgetting curve. The current research investigates the absenteeism in various batch sizes of multi-model and mixed-model assembly lines, introducing an innovative adaptation of the learning and forgetting functions. Secondly, it analyses the assembly system performance through a simulation study, focusing on the models' commonality and models sequences in the case of new substitute workers. A case study and a simulation analysis are reported to validate the research.

Original languageEnglish
Pages (from-to)147-171
Number of pages25
JournalInternational Journal of Industrial and Systems Engineering
Issue number2
StatePublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2022 Inderscience Enterprises Ltd.


  • absenteeism
  • forgetting
  • learning
  • mixed-model
  • multi-model
  • turnover


Dive into the research topics of 'Absenteeism and turnover performance analysis of multi-model and mixed-model assembly lines'. Together they form a unique fingerprint.

Cite this