Prediction, distribution, and transportation: A case study

被引：0

作者：

Michalewicz, Z ^{[1
]}

Schmidt, M ^{[1
]}

Michalewicz, M ^{[1
]}

Chiriac, C ^{[1
]}

机构：

[1] Univ Adelaide, Sch Comp Sci, Adelaide, SA 5005, Australia

来源：

PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS | 2005年

关键词：

prediction; optimization; distribution; transportation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a case study: a description of a problem and implemented solution for one of the world's largest car manufacturers. The presented optimization problem was very challenging, as it included elements of prediction, distribution, and transportation. The system was installed as a full production system in September 2002; it has been used since that time to recommend the best distribution of cars on a daily basis. The car manufacturer estimates that the system generates profits in excess of $200 million per year. This significant return on investment was possible only by combining prediction, optimization, and adaptation techniques into one integrated system.

引用

页码：545 / 557

页数：13

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