Simulating operator learning during production ramp-up in parallel vs. serial flow production
Artikel i vetenskaplig tidskrift, 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

human factors

production launch

production ergonomics

time-to-volume

Författare

Patrick Neumann

Ryerson University

Per Medbo

Chalmers, Teknikens ekonomi och organisation, Supply and Operations Management

International Journal of Production Research

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

Vol. 55 3 845-857

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Annan teknik

Ekonomi och näringsliv

Styrkeområden

Transport

Produktion

DOI

10.1080/00207543.2016.1217362

Mer information

Senast uppdaterat

2020-08-06