Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning

• Published in: Applied soft computing Vol. 91; p. 106208
• Main Author: Luo, Shu
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2020
• Subjects: Deep Q network; Deep reinforcement learning; Dispatching rules; Flexible job shop scheduling; New job insertion; Deep Q network; New job insertion; Deep reinforcement learning; Dispatching rules; Flexible job shop scheduling

In modern manufacturing industry, dynamic scheduling methods are urgently needed with the sharp increase of uncertainty and complexity in production process. To this end, this paper addresses the dynamic flexible job shop scheduling problem (DFJSP) under new job insertions aiming at minimizing the t...