Managing short life-cycle technology products for Agere Systems

被引:29
|
作者
Wu, S. David [1 ]
Aytac, Berrin
Berger, Rosemary T.
Armbruster, Chris A.
机构
[1] Lehigh Univ, Dept Ind & Syst Engn, Bethlehem, PA 18015 USA
[2] Agere Syst, Allentown, PA 18109 USA
关键词
forecasting : applications; industries; computer; electronic;
D O I
10.1287/inte.1050.0195
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Over the past decade, the high-tech industry has been rapidly innovating technology and introducing new products. Firms have moved from vertically integrated operations to horizontally integrated operations that include contract manufacturers. In September 2002, Agere Systems recognized that it needed new tools for managing the capacity in its increasingly complex, global supply chain. Agere and the Center for Value Chain Research at Lehigh University formed a team to develop new methods for characterizing the demands for short life-cycle technology products. The team developed a leading-indicator engine that identifies products that provide advanced warning of demand changes for a group of products. For a data set including 3,500 semiconductor products, the analysis identified leading indicators that predicted the demand pattern of the product group one to seven months ahead of time with correlation values ranging from 0.51 to 0.95. The leading-indicator concept provides a new perspective on demand forecasting and can be extended to other corporate planning functions, such as financial forecasting and inventory forecasting.
引用
收藏
页码:234 / 247
页数:14
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