Regression trees approach for flow-time prediction in wafer manufacturing processes using constraint-based genetic algorithm
Regression trees approach for flow-time prediction in wafer manufacturing processes using constraint-based genetic algorithm
复制标题
使用基于约束的遗传算法在晶圆制造过程中进行流程时间预测的回归树方法
DOI：
10.1080/00207540600607077
复制
发表时间：
2006
影响因子：
9.2
通讯作者：
C. Chiu
中科院分区：
文献类型：
--
作者：
P. Hsu;C.;P. Chang;C. Chiu
了解与晶圆生产流程时间相关的因素对于晶圆制造工厂的流程设计和分析至关重要。由于晶圆制造的复杂性，传统的人工方法来分配的交货期是不精确的，容易失败，特别是当车间状态是动态变化的。因此，为每个客户订单分配交货期成为生产计划的一个挑战。本文提出了一种基于约束的遗传算法的方法来确定流动时间。建立了流量-时间预测模型，并与其他方法进行了比较。更好的计算效率和基于约束的遗传算法的预测结果表明，使用实验数据从晶圆制造工厂。
Understanding the factors associated with the flow-time of wafer production is crucial for workflow design and analysis in wafer fabrication factories. Owing to wafer fabrication complexity, the traditional human approach to assigning the due-date is imprecise and prone to failure, especially when the shop status is dynamically changing. Therefore, assigning a due-date to each customer order becomes a challenge to production planning. The paper proposes a constraint-based genetic algorithm approach to determine the flow-time. The flow-time prediction model was constructed and compared with other approaches. Better computational effectiveness and prediction results from the constraint-based genetic algorithm are demonstrated using experimental data from a wafer-manufacturing factory.