Simulating operator learning during production ramp-up in parallel vs. serial flow production
Journal article, 2017

The aim of this research is to demonstrate how human learning models can be integrated into discrete event simulation to examine ramp-up time differences between serial and parallel flow production strategies. The experimental model examined three levels of learning rate and minimum cycle times. Results show that while the parallel flow system had longer ramp-up times than serial flow systems, they also had higher maximum throughput capacity. As a result, the parallel flow system frequently outperformed lines within the first weeks of operation. There is a critical lack of empirical evidence or methods that would allow designers to accurately determine what the critical learning parameters might be in their specific operations, and further research is needed to create predictive tools in this important area.

discrete event simulation

production ergonomics

time-to-volume

production launch

human factors

Author

Per Medbo

Ryerson University

Per Medbo

Chalmers, Technology Management and Economics, Supply and Operations Management

International Journal of Production Research

0020-7543 (ISSN) 1366-588X (eISSN)

Vol. 55 3 845-857

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Engineering and Technologies

Economics and Business

Areas of Advance

Transport

Production

DOI

10.1080/00207543.2016.1217362

More information

Created

10/7/2017