考虑多AGV充电的绿色作业车间集成调度

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中图分类号：TP278；TP18 文献标志码：A 文章编号：1000-582X（2026）01-017-15

引用格式：，，，等.考虑多AGV充电的绿色作业车间集成调度[J].重庆大学学报，2026，49 （1）：17-31.

Integrated green job-shop scheduling considering AGV charging

LI Zhengfeng'，GU Wenpeng'，ZHANG Guohui²，ZHOU Gaofeng' （1.SchoolofMechatronics Engineering，Zhongyuan University of Technology，Zhengzhou 4507，P.R.China; 2. Schoolof Management Engineering， Zhengzhou University ofAeronautics， Zhengzhou 45o0l5，P.R.China）

Abstract： Automatic guided vehicles （AGVs） have become an important transport resources in modern job shops， yettheir deployment introduces new scheduling challenges，such as AGV asignment，power constraints，and fleet size limitations.To addressthe green scheduling problem of job shops considering AGV charging requirements， this study develops a multi-objective optimization model that minimizes makespan and energy consumption while accounting for AGV power levels and charging behavior. An improved genetic algorithm is proposed to solve the model. It employs dual-segment chromosome encoding for job sequencing and AGV allcation，and local search strategies and dedicated genetic operators for each chromosome segment. A decoding mechanism considering AGV power and charging constraints is also designed.Through orthogonal simulation experiments using the FT06 benchmark case，the influence of AGV fleet size and batery capacity on scheduling performance are analyzed via range and variance methods.Simulation results demonstrate the effectiveness of the proposed model and algorithm.

Keywords： job shop; green scheduling; energy consumption; automatic guided vehicle; AGV charging

生产车间是制造业能耗的主要场所，控制生产车间能耗成为制造业控制能耗的关键。（剩余16484字）