LEARNING-BASED SCHEDULING IN A FLEXIBLE MANUFACTURING FLOW LINE

被引：42
|
作者：
PIRAMUTHU, S
RAMAN, N
SHAW, MJ
机构：
[1] UNIV ILLINOIS,DEPT BUSINESS ADM,CHAMPAIGN,IL 61820
[2] UNIV ILLINOIS,BECKMAN INST,CHAMPAIGN,IL 61820
来源：
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT | 1994年 / 41卷 / 02期
关键词：
SCHEDULING; FLEXIBLE FLOW SYSTEMS; MACHINE LEARNING;
D O I：
10.1109/17.293384
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We develop a bilevel framework for scheduling a circuit board (PCB) assembly plant which uses surface mount technology for inserting electronic components. Machine learning techniques are utilized for developing a system that adaptively utilizes the most appropriate heuristics given the current state of the system. We consider heuristics for both part-release and dispatching at machines. The results demonstrate the effectiveness of our approach compared to some other existing heuristic scheduling approaches.
引用
收藏
页码：172 / 182
页数：11
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