Models and Heuristics for Product Line Selection
Recently, a number of articles have appeared in the marketing literature dealing with (single) product design optimization. The present paper represents a start toward extending this research to product line decisions. We first formulate two versions of the problem and describe their various characteristics. Since finding the optimum solution is computationally prohibitive, even for modest size problems, various heuristic approaches are presented and evaluated. Applications involving synthetic and real data are discussed. The paper concludes with comments on related problems and future application areas.
Volume (Year): 4 (1985)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: 7240 Parkway Drive, Suite 300, Hanover, MD 21076 USA|
Web page: http://www.informs.org/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:4:y:1985:i:1:p:1-19. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.