A real-time maintenance scheduling policy in serial production lines

2011 ◽  
Author(s):  
Lingbo Lu ◽  
Yang Liu ◽  
Jingshan Li ◽  
C. Chang ◽  
S. Biller ◽  
...  
Keyword(s):  
Real Time ◽  
Maintenance Scheduling ◽  
Production Lines ◽  
Serial Production ◽  
Scheduling Policy ◽  
Serial Production Lines

Gantry Scheduling for Two-Machine One-Buffer Composite Work Cell by Reinforcement Learning

2017 ◽  
Author(s):  
Jorge Arinez ◽  
Xinyan Ou ◽  
Qing Chang
Keyword(s):  
Reinforcement Learning ◽  
Learning Algorithm ◽  
Production Lines ◽  
Serial Production ◽  
Q Learning ◽  
Proper Actions ◽  
Work Cell ◽  
Scheduling Policy ◽  
Serial Production Lines

In this paper, a manufacturing work cell with a gantry that is in charge of moving materials/parts between machines and buffers is considered. With the effect of the gantry movement, the system performance becomes quite different from traditional serial production lines. In this paper, reinforcement learning is used to develop a gantry scheduling policy in order to improve system production. The gantry learns to take proper actions under different situations to reduce system production loss by using Q-Learning algorithm and finds the optimal moving policy. A two-machine one-buffer work cell with a gantry is used for case study, by which reinforcement learning is applied. Compare with the FCFS policy, the fidelity and effectiveness of the reinforcement learning method are also demonstrated.

Sign in / Sign up

Export Citation Format

Share Document