A Novel GA-CP Method for Fixed-Type Multi-Robot Collaborative Scheduling in Flexible Job Shop

With the rapid development of intelligent manufacturing, multi-robot collaborative systems are increasingly integrated into various production processes. In the flexible job shop environment of automotive stamping, achieving smooth operation and efficient manufacturing of production lines hinges on...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 22; S. 13531 - 13543
Hauptverfasser:	Huang, Jin, Li, Xinyu, Gao, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Assembly Collaboration constraint programming Fixed-type multi-robot collaborative problem genetic algorithm-constraint programming Job shop scheduling Manufacturing mixed integer linear programming Optimal scheduling Process control Resource management Robot kinematics Robots Service robots
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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