A4 Refereed article in a conference publication

Efficient tool loading heuristic for machines with modular feeders




AuthorsCsaba Raduly-Baka, Juha Mäkilä, Mika Johnsson, Olli S. Nevalainen

EditorsDušan Šormaz, Gürsel Süer, F. Frank Chen

Conference nameInternational Conference on Flexible Automation and Intelligent Manufacturing

PublisherElsevier

Publication year2018

JournalProcedia Manufacturing

Book title 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

Volume17

First page 968

Last page975

Number of pages8

ISSN2351-9789

DOIhttps://doi.org/10.1016/j.promfg.2018.10.108

Web address https://www.sciencedirect.com/science/article/pii/S2351978918312265

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/39081095


Abstract

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.


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