A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment

A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment

Machine bottlenecks, resulting from shifting and unbalanced machine loads caused by resource capacity limitations, impair product-mix flexibility production systems. Thus, the knowledge base (KB) of a dynamic scheduling control system should be dynamic and include a knowledge revision mechanism for...

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Bibliographic Details
Main Authors:	Yeou-Ren Shiue, Ken-Chuan Lee, Chao-Ton Su
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Manufacturing execution system dynamic scheduling machine learning reinforcement learning Q-learning
Online Access:	https://ieeexplore.ieee.org/document/9110908/

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