Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning
نویسندگان
چکیده
Increasing demand for customized products in the wake of 4th Industrial Revolution is placing ever increasing demands on flexibility manufacturing systems. Furthermore, usage automated guided vehicles (AGV) adds another layer and also complexity to overall production system. The resulting Flexible Job Shop Scheduling Problem (FJSSP), including coordination AGVs, NP-hard therefore hard optimize. To address this problem, a Reinforcement Learning Multi Agent (MARL) system proposed, which job scheduling vehicle planning done cooperatively. This concept described prototypically implemented.
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ژورنال
عنوان ژورنال: Procedia CIRP
سال: 2021
ISSN: ['2212-8271']
DOI: https://doi.org/10.1016/j.procir.2021.11.257