摘要
为解决加工中心布局与经济、环境效益之间的匹配问题,笔者在系统布置设计(system layout planning, SLP)方法基础上,对加工中心的物流和非物流相互关系进行了系统分析。考虑碳排放约束对布局的影响,建立了基于搬运成本和碳排放成本最小化、非物流关系以及面积利用率最大化的多目标优化模型;分别应用SLP和遗传-和声算法(genetic algorithm-harmony search, GA-HS)对实际中的加工中心作业区域布局进行优化;最后对2个方案的优化效果进行对比。结果显示:GA-HS布局方案与传统SLP布局方案相比,物料搬运及碳排放成本共节约了29.6%;面积利用率与非物流关系上GA-HS布局方案分别提高了16.2%和2.5%。该研究有效解决了考虑碳排放约束下的加工中心布局优化问题。
To solve the matching problem between the layout of processing centers and economic and environmental benefits,a systematic analysis was conducted on the relationship between logistics and non-logistics of processing centers based on the system layout design(SLP)method.Considering the impact of carbon emission constraints on layout,a multi-objective optimization model was established based on minimizing transportation and carbon emission costs,non-logistics relationships,and maximizing area utilization.The layout of the actual machining center operation area in practice was optimized by applying SLP and genetic algorithm harmony search(GA-HS)respectively.Finally the optimization effects of the two schemes was compared.The results show that compared with the traditional SLP layout scheme,the GA-HS layout scheme saves 29.6%in material handling costs and carbon emission costs;the area utilization rate and non-logistics relationship increased by 16.2%and 2.5%respectively.The study effectively solving the optimization problem of machining center layout considering carbon emission constraints.
作者
王帮俊
孙宇浩
WANG Bangjun;SUN Yuhao(School of Economics and Management,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)
出处
《轻工机械》
CAS
2023年第6期93-100,共8页
Light Industry Machinery
基金
中国物流学会课题(2023CSLKT3-044)。
关键词
加工中心
布局优化
系统布置设计
遗传-和声算法
碳排放约束
machining center
layout optimization
SLP(System Layout Planning)
GA-HS(Genetic Algorithm-Harmony Search)
carbon emission constraints
