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...

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Xehetasun bibliografikoak

Egile Nagusiak:	Lan Yang, Zhong Yang, Li Bi, Xiaogang Jiao
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2026-06-01
Saila:	Operations Research Perspectives
Gaiak:	Graph neural network Deep reinforcement learning Dynamic flexible job shop scheduling Job prioritization Transportation time
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2214716026000035
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