Previous approaches for balancing mixed-model assembly lines rely on detailed prognoses of the demand for each model to be produced on the line (model-mix). With the help of the anticipated model-mix a joint precedence graph for a virtual average model is deduced, so that the mixed-model balancing problem is reduced to the single-model case and traditional balancing approaches can be employed. Today's ever increasing product variety often impedes reliable prognoses for individual models. Instead, forecasts for the estimated occurrences of each product feature (e.g., percentage of cars with air conditioning) are merely obtainable. This paper shows how the generation of joint precedence graphs is to be altered to account for this fundamental change in information. This way, a balancing of mixed-model assembly lines which are confronted with a high degree of product variety is enabled.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Order Information: Postal: If a paper is not downloadable, please contact the author(s) or the library of University of Jena, not the archive maintainer.
For technical questions regarding this item, or to correct its listing, contact: ().
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)