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作 者:孔琳 王黎明[1,2,3] 吕晓腾[1,2,3] 李方义 KONG Lin;WANG Liming;LüXiaoteng;LI Fangyi(School of Mechanical Engineering,Shandong University,Jinan 250061;Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education,Shandong University,Jinan 250061;National Demonstration Center for Experimental Mechanical Engineering Education,Shandong University,Jinan 250061)
机构地区:[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
出 处:《机械工程学报》2023年第11期276-289,共14页Journal of Mechanical Engineering
基 金:国家重点研发计划(2020YFB1711603);国家自然科学基金(52175473)资助项目。
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。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.
分 类 号:TH166[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]
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