基于NSGA-Ⅱ的云制造物流服务方案设计研究  

Research on cloud manufacturing logistics service scheme design based on NSGA-Ⅱ

作　　者：李强[1] 张科[1] 康鹏桂 孔蕾 王鑫龙 Li Qiang;Zhang Ke;Kang Penggui;Kong Lei;Wang Xinlong(School of Mechanical Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,Inner Mongolia,China;School of Department of Electrical and Mechanical Engineering,Qingdao Technological University Qindao College,Qingdao 266091,Shandong,China)

机构地区：[1]内蒙古科技大学机械工程学院,包头014010 [2]青岛理工大学琴岛学院机电工程系,青岛266091

出　　处：《现代制造工程》2020年第5期53-58,共6页Modern Manufacturing Engineering

基　　金：内蒙古自治区十二五应用技术研究与开发资金项目(20111424);2018年度山东省高校科研计划项目(J18KA051)。

摘　　要：针对云制造系统中物流服务方案设计不足的问题,分析了云制造物流服务特点,以运营成本、运输成本和碳排放量最小化为目标建立数学模型,并利用非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm-Ⅱ,NSGA-Ⅱ)对数学模型进行求解。以某区域汽车配件生产服务企业为例进行验证,结果表明,基于NSGA-Ⅱ的云制造物流服务方案设计方法合理、有效,为解决云制造物流服务问题提供了理论依据。Aiming at the problem of insufficient design of logistics service scheme in cloud manufacturing system,analyzes the characteristics of cloud manufacturing logistics service,establishes a mathematical model aiming at minimizing operating cost,transportation cost and carbon emission,and solves the mathematical model by using Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ).A regional automobile parts manufacturing service enterprise is taken as an example for verification.The results show that the design method of cloud manufacturing logistics service scheme based on NSGA-Ⅱis reasonable and effective,which provides theoretical basis for solving the problem of cloud manufacturing logistics service.

关 键 词：云制造 非支配排序遗传算法 物流服务 碳排放量 

分 类 号：TH166[机械工程—机械制造及自动化]