An integer programming heuristic for component allocation in printed circuit card assembly systems

被引:10
作者
DePuy, GW [1 ]
Savelsbergh, MWP
Ammons, JC
McGinnis, LF
机构
[1] Univ Louisville, Louisville, KY 40292 USA
[2] Georgia Inst Technol, Atlanta, GA 30332 USA
关键词
electronic assembly; process planning; mixed integer programming;
D O I
10.1023/A:1011388227723
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Component allocation is an important element of process planning for printed circuit card assembly systems. The component allocation problem directly impacts the productivity and cost of a circuit card assembly system. Many companies have recognized the importance of component allocation and have started to develop a better decision process. Also, a few commercial software packages have been developed that provide environments to support process planning. However, optimization methods are not yet widely used. We demonstrate that component allocation is amenable to improvement using optimization methods. We present an integer programming heuristic for the component allocation problem and report on several case studies that have been conducted and that demonstrate its effectiveness. The heuristic is based on a mixed integer programming formulation of the component allocation problem that incorporates estimates of downstream process planning decisions.
引用
收藏
页码:351 / 369
页数:19
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