• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (7): 339-354.doi: 10.3901/JME.2023.07.339

• 资源化与再制造技术及装备 • 上一篇    下一篇

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面向废旧机械产品广义生长的再制造服务组合与优化方法

王蕾1,2, 郭钰瑶1,2, 曹建华1,2, 张泽琳1,2, 夏绪辉1,2, 赵慧1,2   

  1. 1. 武汉科技大学冶金装备及其控制教育部重点实验室 武汉 430081;
    2. 武汉科技大学机械传动与制造工程湖北省重点实验室 武汉 430081
  • 收稿日期:2022-06-07 修回日期:2022-11-14 出版日期:2023-04-05 发布日期:2023-06-16
  • 通讯作者: 郭钰瑶(通信作者),女,1996年出生,博士研究生。主要研究方向为再制造服务,低碳再制造。E-mail:guoyuyao@wust.edu.cn
  • 作者简介:王蕾,女,1987年出生,博士,副教授,博士研究生导师。主要研究方向为智能再制造。E-mail:wanglei1987@wust.edu.cn;曹建华,男,1989年出生,博士研究生,工程师。主要研究方向为逆向供应链服务、再制造服务。E-mail:caojianhua39@wust.edu.cn;张泽琳,男,1988年出生,博士,副教授,硕士研究生导师。主要研究方向为制造系统工程、绿色制造技术及装备、智能选矿技术及装备。E-mail:zhangzelin@wust.edu.cn;夏绪辉,男,1966年出生,博士,教授,博士研究生导师。主要研究方向为制造系统工程、逆向供应链管理、再制造服务。E-mail:xiaxuhui@wust.edu.cn;赵慧,男,1996年出生,硕士研究生。主要研究方向为再制造服务。E-mail:zhaohui1303@163.com
  • 基金资助:
    国家自然科学基金资助项目(52275503)

Remanufacturing Service Combination and Optimization for Generalized Growth of Retired Mechanical Products

WANG Lei1,2, GUO Yuyao1,2, CAO Jianhua1,2, ZHANG Zelin1,2, XIA Xuhui1,2, ZHAO Hui1,2   

  1. 1. Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081;
    2. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081
  • Received:2022-06-07 Revised:2022-11-14 Online:2023-04-05 Published:2023-06-16

摘要: 针对面向废旧机械产品广义生长的再制造服务模式下,产品-部件-零件多层级服务对象和升级、恢复、降级多粒度再制造服务要求导致服务活动及其供应商数量相比传统再制造服务倍增,致使再制造服务组合与优化过程繁琐、困难、效率低的问题,提出了一种面向废旧机械产品广义生长的再制造服务组合与优化方法。首先为快速获取多层级多粒度的服务方案,基于OWL-S对再制造服务活动进行语义描述,提出服务组合流程实现多层级服务活动的自动组合;其次为提升服务供应商组合与优化效率,利用粗糙-模糊数对多层级多粒度的多个服务方案中的服务活动进行耦合分析,合并冗余服务活动;最后为保证再制造服务的多方利益及环境效益,以碳排放、时间、成本为优化目标建立再制造服务供应商组合优化模型并利用非支配排序遗传算法求解。以一批废旧手动变速箱广义生长再制造服务为例,验证了所提再制造服务组合与优化方法的可行性与有效性。

关键词: 再制造服务, 广义生长, 服务组合, 服务优化, 碳排放

Abstract: Under the generalized growth-oriented remanufacturing services, the product-component-parts multi-level service objects and the upgrade, recovery and downgrade multi-granularity remanufacturing service requirements lead to the multiplication of service activities and the number of suppliers compared with traditional remanufacturing services. In this case, a remanufacturing service composition and optimization method was proposed to solve the complicated and difficult remanufacturing service composition and optimization process. Firstly, to quickly obtain multi-level and multi-granularity service scheme, remanufacturing service activities were described by semantics based on OWL-S, and service composition process was proposed to realize multi-level composition of service activities automatically. Secondly, to improve the combination and optimization efficiency of service providers, the rough-fuzzy number is used to analyze the coupling of service activities in service schemes and merge redundant service activities. Finally, to ensure the multi-party interests and environmental benefits of remanufacturing service, a remanufacturing service supplier portfolio optimization model was established with carbon emissions, time and cost as optimization objectives and solved by non-dominated ranking genetic algorithm. The feasibility and effectiveness of the proposed method were verified by taking a batch of retired manual gearbox as an example.

Key words: remanufacturing services, generalized growth-oriented remanufacturing, service composition, service optimization, carbon emission

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