Dynamic flexible job shop co-scheduling optimization based on graph neural network and deep reinforcement learning

With the continuous advancement of manufacturing, job shop scheduling faces complex dynamic disturbances that pose significant challenges to production. This paper investigates the dynamic flexible job shop scheduling problem with job priority and transportation time constraints (DFJSP-PT). The stud...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Lan Yang, Zhong Yang, Li Bi, Xiaogang Jiao
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2026-06-01
Σειρά:	Operations Research Perspectives
Θέματα:	Graph neural network Deep reinforcement learning Dynamic flexible job shop scheduling Job prioritization Transportation time
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S2214716026000035
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!