Disassembly sequence planning and disassembly line balance of obsolete products are two important processes in remanufacturing and recycling fields. Nowadays, many scholars study them independently. In fact, they are mutual relevance and impact. Integrating these two processes, i.e., disassembly sequence planning and disassembly line balance, is able to improve production efficiency and reduce energy consumption. This research focuses on basic theories and key technologies for comprehensive modeling and optimization of disassembly sequence planning and mixed-model disassembly line balance. The research contents are presented as follows: (1) based on the Petri nets, disassembly sequence planning model of multi-products is established; (2) the optimization model of disassembly line balance is built based on the stochastic programming; (3) Comprehensive optimization model for disassembly sequence planning and mixed-model disassembly line balance is obtained based on multilevel programming; (4) Based on the characteristic of the established mathematical model, this research designs an intelligent algorithm integrating artificial intelligence technologies to solve it; and (5) By taking typical automotive components as an example, and by using the developed prototype system, this work illustrates the effectiveness of proposed theories and methods. This research would provide a novel and effective scientific method for the analysis of the disassembly process and provide decision support and technical support for related sustainable manufacturing issues, e.g., design for disassembly and green disassembly process design.
废旧产品拆解序列规划和拆解线平衡是再制造或回收利用中的两个重要作业流程,当前许多学者对它们进行了独立研究。然而,现实中两者即相互关联又彼此影响,整合拆解序列规划和拆解线平衡这两个流程能提高生产效率降低能耗。本项目结合Petri网和智能规划理论,研究考虑能耗的拆解序列规划和混流拆解线平衡综合建模及优化的基础理论和关键技术。主要内容包括:(1)基于Petri网的多产品拆解序列规划模型构建;(2)基于随机规划的拆解线平衡优化模型构建;(3)基于多层规划的产品拆解序列规划和混流拆解线平衡综合优化模型构建;(4)基于建立的综合优化模型特征,设计融合人工智能技术的混合算法并进行求解分析;(5)针对典型汽车产品的拆解实践,开发原型系统并验证提出理论与方法的有效性和合理性。本项目研究为产品拆解过程分析提供新颖有效的科学方法,还为产品可拆解性设计和绿色拆解工艺设计等可持续制造领域提供决策支持和技术支撑。
拆解规划和拆解线平衡是有效地实现废旧产品的回收利用和拆解作业的重要流程,本项目围绕废旧机电产品拆解规划和拆解线平衡问题进行了系统性研究,其主要研究进展为:1)在拆解规划方面:提出了考虑回收零部件模糊质量和随机拆解时间的产品拆解利润模型的构建及评估方法,为产品拆解过程的不确定规划提供了新的且有效的方法。另外,研究了复杂产品的模块化拆解及其并行拆解规划问题,提出了考虑能耗因素的拆解过程的能效规划方法,为产品拆解过程的能效评估提供了一种新的方法。2)在拆解线平衡方面:提出了以低碳、工位数最小等为目标的面向环境友好型的拆解线平衡多目标优化模型,并通过改进的果蝇优化算法实现了模型的优化。另外,建立了基于果蝇算法、交叉效率和可拓-灰色关联度的新的拆解线方案综合评价方法。3)在拆解线设计及其集成服务方面:提出了基于混合多属性决策的拆解规划和拆解线平衡方案优选方法,其成果进一步完善了绿色设计方法理论体系;研究了考虑拆解、修复、再装配的多阶段特征的拆解及再制造系统集成建模与优化问题,上述部分成果在广东邦普循环科技企业等得到应用,有效提升了我国废旧产品拆解及回收利用的水平。依托该国家自然科学基金面上项目在国内外重要SCI期刊发表论文33篇;参编中文专著2部;申请及授权专利7项;受邀担任Journal of Industrial Information Integration(SCI)、Symmetry(SCI)等10多个国际期刊的编委或客座编委;获中国商业联合会科学技术特等奖和中国公路学会科学技术二等奖各1项(均排1)。
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数据更新时间:2023-05-31
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