Balancing assembly lines effectively – A computational comparison

Balancing assembly lines effectively – A computational comparison We report on results of a numerical experiment including the most effective branch and bound procedures for solving type 1 of the simple assembly line balancing problem (SALBP-1), namely Johnson's (1988) FABLE, Nourie and Venta's (1991) OptPack, Hoffmann's (1992) Eureka and Scholl and Klein's (1997) SALOME. It appears that SALOME clearly outperforms the other procedures with respect to hard instances of a new challenging data set. Beyond that, it is shown that the performance of SALOME can greatly be improved by adding some further features including dynamic renumbering and dominance rules. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Operational Research Elsevier

Balancing assembly lines effectively – A computational comparison

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Publisher
Elsevier
Copyright
Copyright © 1999 Elsevier Science B.V.
ISSN
0377-2217
eISSN
1872-6860
D.O.I.
10.1016/S0377-2217(98)00173-8
Publisher site
See Article on Publisher Site

Abstract

We report on results of a numerical experiment including the most effective branch and bound procedures for solving type 1 of the simple assembly line balancing problem (SALBP-1), namely Johnson's (1988) FABLE, Nourie and Venta's (1991) OptPack, Hoffmann's (1992) Eureka and Scholl and Klein's (1997) SALOME. It appears that SALOME clearly outperforms the other procedures with respect to hard instances of a new challenging data set. Beyond that, it is shown that the performance of SALOME can greatly be improved by adding some further features including dynamic renumbering and dominance rules.

Journal

European Journal of Operational ResearchElsevier

Published: Apr 1, 1999

References

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