【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。更多还原

【Abstract】 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.更多还原