• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (11): 276-289.doi: 10.3901/JME.2023.11.276

• 数字化设计与制造 • 上一篇    下一篇

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基于多层级约束满足问题的产品全生命周期设计方案决策研究

孔琳1,2,3, 王黎明1,2,3, 吕晓腾1,2,3, 李方义1,2,3   

  1. 1. 山东大学机械工程学院 济南 250061;
    2. 山东大学高效洁净机械制造教育部重点实验室 济南 250061;
    3. 山东大学机械工程国家级实验教学示范中心 济南 250061
  • 收稿日期:2022-07-04 修回日期:2022-12-22 出版日期:2023-06-05 发布日期:2023-07-19
  • 通讯作者: 王黎明(通信作者),男,1986年出生,博士,副教授,博士生研究生导师。主要研究方向为绿色设计与制造、生命周期评价和智能优化算法。E-mail:liming_wang@sdu.edu.cn
  • 作者简介:孔琳,女,1992年出生,博士研究生。主要研究方向为绿色设计、生命周期评估、决策优化。E-mail:konglin@mail.sdu.edu.cn
  • 基金资助:
    国家重点研发计划(2020YFB1711603)和国家自然科学基金(52175473)资助项目

Decision-making for Product Life Cycle Design Solution Based on Multi-layer Constraints Satisfaction Problem

KONG Lin1,2,3, WANG Liming1,2,3, Lü Xiaoteng1,2,3, LI Fangyi1,2,3   

  1. 1. School of Mechanical Engineering, Shandong University, Jinan 250061;
    2. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061;
    3. National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061
  • Received:2022-07-04 Revised:2022-12-22 Online:2023-06-05 Published:2023-07-19

摘要: 为实现产品全生命周期绿色设计方案的生成与决策,构建了基于功能-行为-结构-材料-工艺(FBS-MP)的设计方案多层级表达模型,并将绿色设计方案的生成转化为基于设计约束的约束满足问题(Constraint satisfaction problem, CSP)。进一步提出基于回溯算法的设计方案多层逐级求解策略,获得产品设计方案解集。同时,提出基于“组合赋权-逼近理想解排序(TOPSIS)-灰色关联分析(GRA)”的多属性决策方法,采用层次分析法与熵值法的主、客观权重进行非线性乘法加成,完成了评价指标的组合权重配置。通过在TOPSIS法分析中引入灰色关联度,实现了绿色设计方案的优选。最后,通过对多属性决策方法偏好系数与评价指标权重的敏感性分析,验证了所提方法的准确性与可靠性。

关键词: 绿色设计, 约束满足问题, 回溯算法, 多属性决策

Abstract: In order to realize the generation and decision-making of product green design solution, a multi-layer expression model based on Function-Behavior-Structure-Material-Process (FBS-MP) is constructed, and the generation of green design solution is mapped to the constraint satisfaction problem (CSP). A stepwise solution strategy based on backtracking algorithm is proposed to obtain the design solution set. Moreover, a multi-attribute decision-making method based on “combination weighting-TOPSIS- grey relation analysis (GRA)” is proposed. The combined weights of evaluation indexes are allocated by nonlinear multiplication and addition of the principal and objective weights of AHP and entropy method. Furthermore, the optimization of green design solution is realized by introducing grey relation degree into TOPSIS analysis. Finally, through the sensitivity analysis of the preference coefficient and evaluation index weight of multi-attribute decision-making method, the accuracy and reliability of the proposed decision-making mechanism are verified.

Key words: green design, constraint satisfaction problem, backtracking algorithm, multi-attribute decision making

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