Efficient tool loading heuristic for machines with modular feeders
: Csaba Raduly-Baka, Juha Mäkilä, Mika Johnsson, Olli S. Nevalainen
: Dušan Šormaz, Gürsel Süer, F. Frank Chen
: International Conference on Flexible Automation and Intelligent Manufacturing
Publisher: Elsevier
: 2018
: Procedia Manufacturing
: 28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2018), June 11-14, 2018, Columbus, OH, USAGlobal Integration of Intelligent Manufacturing and Smart Industry for Good of Humanity
: 17
: 968
: 975
: 8
: 2351-9789
DOI: https://doi.org/10.1016/j.promfg.2018.10.108(external)
: https://www.sciencedirect.com/science/article/pii/S2351978918312265(external)
: https://research.utu.fi/converis/portal/detail/Publication/39081095(external)
Numerically controlled placement machines are often equipped with
modular feeder units. These allow the group loading of a large number of
component reels in one step. While the loading of individual component
reels has been extensively studied in the past, there has not been any
algorithmic solutions published for modular feeder loading. The problem
in known to be NP-hard even for a fixed job sequence. A mathematical 0-1
formulation, a lower bound on the optimal result, and an efficient
heuristics will be given in the present study. The heuristic is
evaluated against the lower bound, and the ratio of the heuristic result
and lower bound value is reported. We found that for randomly generated
problems, this ratio is between 2 and 4, while for some of the large
industrial problems we obtain a ratio between 6 and 12.
