重庆大学学报2026，Vol.49Issue(1)：17-31,15.DOI:10.11835/j.issn.1000-582X.2024.217
考虑多AGV充电的绿色作业车间集成调度
Integrated green job-shop scheduling considering AGV charging
摘要
Abstract
Automatic guided vehicles(AGVs)have become an important transport resources in modern job shops,yet their deployment introduces new scheduling challenges,such as AGV assignment,power constraints,and fleet size limitations.To address the 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 allocation,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 battery capacity on scheduling performance are analyzed via range and variance methods.Simulation results demonstrate the effectiveness of the proposed model and algorithm.关键词
作业车间/绿色调度/能耗/自动导引车/AGV充电Key words
job shop/green scheduling/energy consumption/automatic guided vehicle/AGV charging分类
信息技术与安全科学引用本文复制引用
李峥峰,谷文鹏,张国辉,周高峰..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):17-31,15.基金项目
国家自然科学基金资助项目(U1904167) （U1904167）
河南省重点研发专项项目(231111221200)) （231111221200）
河南省高等学校重点科研计划项目(19A460034).Supported by National Natural Science Foundation of China(U1904167),the Key Research and Development Special Program of Henan Province(231111221200),and the Key Scientific Research Projects of Higher Education of Henan Province(19A460034). （19A460034）
