Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/16765
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Type: Journal article
Title: Case study: An intelligent decision-support system
Author: Michalewicz, Z.
Schmidt, M.
Michalewicz, M.
Chiriac, C.
Citation: IEEE Intelligent Systems, 2005; 20(4):44-49
Publisher: IEEE Computer Soc
Issue Date: 2005
ISSN: 1541-1672
Statement of
Responsibility: 
Zbigniew Michalewicz, Martin Schmidt, Matthew Michalewicz, and Constantin Chiriac
Abstract: The explosive growth in decision-support systems over the past 30 years has yielded numerous "intelligent" systems that have often produced less-than-stellar results. In addition to generating data that users can't immediately apply to their tasks, such systems are often static, rendering them unable to respond to the dynamic nature of both business and the larger world. In this case study, the authors describe a thorny logistical problem: recommending the best distribution for used cars among various automobile auctions. They solved this problem by combining prediction, optimization, and adaptation techniques into one integrated system that has generated impressive profits for a large auto manufacturer.This article is part of a special issue on transportation and logistics.
Description: © 2005 IEEE.
DOI: 10.1109/MIS.2005.64
Appears in Collections:Aurora harvest 2
Computer Science publications

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