摘要
为降低车间生产碳排放,对于具备不相关并行机环境的柔性流水车间,在分析了机床运行过程中不同状态下的碳排放的基础上,建立起一种以低碳为优化目标的调度数学模型。该模型不仅考虑了以往研究较少的搬运过程碳排放,同时还考虑了选定机床的开关机过程的碳排放。基于该模型提出了在机床闲置等待期间降低碳排放的一种多状态更替的节能优化策略,并设计出改进的遗传算法对问题求解。最后利用相关案例,分析了模型的可行性,验证了节能优化策略的有效性。
In order to reduce the carbon the emissions of the flow shop which consists of unrelated parallel machines,a kind of scheduling mathematical mode with low carbon emission target is built by analyzing the carbon emissions of the machine tools under different running conditions.Not only the carbon emissions produced in the transmission process which is rarely discussed in the previous studies,but also the carbon emissions produced during the startup and shutdown process of the selected machine tools are considered in the model.Based on this model,a multi-state alternation energy saving optimization strategy is proposed to reduce carbon emissions during the idle waiting period of machine tools.An improved genetic algorithm is employed to solve this optimizationproblem,In the end,the cases are studied to validate the strategy.
作者
尹瑞雪
吴拓
李洪丞
YIN Rui-xue;WU Tuo;LI Hong-cheng(School of Mechanical Engineering,Guizhou University,Guizhou Guiyang 550025,China;School of Advanced Manufacturing Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《机械设计与制造》
北大核心
2023年第4期281-286,共6页
Machinery Design & Manufacture
基金
国家自然科学基金项目(51765010)
国家自然科学基金项目(51805066)。
关键词
车间调度
运行状态
碳排放
改进遗传算法
节能
Workshop Scheduling
Running State
Carbon Emissions
Improved Genetic Algorithm
Energy Saving
