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  • 中国标准连:ISSN1005-2895
  • 续出版物号: CN 33-1180/TH
  • 主管单位:轻工业杭州机电设计研究院有限公司
  • 主办单位:轻工业杭州机电设计研究院有限公司、中国轻工机械协会、中国轻工业机械总公司
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  • 主  编:黄丽珍
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王帮俊, 孙宇浩.考虑碳排放约束的加工中心布局优化[J].轻工机械,2023,41(6):93-100
考虑碳排放约束的加工中心布局优化
Optimization of Machining Center Layout Considering Carbon Emission Constraints
  
DOI:10.3969/j.issn.1005 2895.2023.06.014
中文关键词:  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
英文关键词:machining center  layout optimization  SLP(System Layout Planning)  GA HS(Genetic Algorithm Harmony Search)  carbon emission constraints
基金项目:中国物流学会课题(2023CSLKT3 044)。
作者单位
王帮俊, 孙宇浩 中国矿业大学 经济管理学院 江苏 徐州221116 
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中文摘要:
      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。
英文摘要:
      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.
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