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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2022, Vol. 56 Issue (12): 2358-2366    DOI: 10.3785/j.issn.1008-973X.2022.12.005
    
Leader-follower identification of complex product redesign modules for multi-domain collaboration
Kai QIU1(),Jian-ning SU2,*(),Shu-tao ZHANG2,Zhi-peng ZHANG1,Shi-feng LIU1
1. School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2. School of Design Art, Lanzhou University of Technology, Lanzhou, 730050, China
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Abstract  

A multi-domain collaborative evaluation method including cognitive domain, demand domain and module domain was constructed, in order to effectively identify the master-slave relationship of each module in complex product redesign under the condition of multi-agent participation and multi-demand coexistence, and to improve the efficiency of redesign. The design requirements domain was established based on the emotional and physical needs of different cognitive subjects in the cognitive domain. Combined with the fuzzy evaluation and the relative preference analysis, the inter-domain mapping importance of each module for the requirement domain mapping was obtained. Considered the connection relationship among modules, a fuzzy design structure matrix combined with DEMATEL was proposed to obtain the intra-domain correlation importance of each module. Using the cooperative game method, a comprehensive evaluation model was established, which combined the inter-domain mapping importance and the intra-domain correlation importance to identify the master-slave relationship of each module. Compared with the module importance analysis mode from a single perspective, the method obtained more objective, comprehensive and accurate evaluation results. Taking the CKA6180 CNC machine tool as an example, the effectiveness and feasibility of the multi-domain collaborative evaluation method were verified.

Key words： complex product redesign      multi-domain collaboration      product module      leader-follower identification      comprehensive evaluation model      
Received: 31 December 2021      Published: 03 January 2023
CLC:  TB 472  
Fund:  国家自然科学基金资助项目（52165033）；甘肃省自然科学基金资助项目（20JR10RA168）；甘肃省教育厅优秀研究生 “创新之星”资助项目（2021CXZX-445）
Corresponding Authors: Jian-ning SU     E-mail: Qiukai@email.cn;sujn@lut.edu.cn
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Kai QIU
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Shi-feng LIU
Cite this article:

Kai QIU,Jian-ning SU,Shu-tao ZHANG,Zhi-peng ZHANG,Shi-feng LIU. Leader-follower identification of complex product redesign modules for multi-domain collaboration. Journal of ZheJiang University (Engineering Science), 2022, 56(12): 2358-2366.

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https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2022.12.005     OR     https://www.zjujournals.com/eng/Y2022/V56/I12/2358


面向多域协同的复杂产品再设计模块主从识别

为了在多主体参与、多需求共存条件下有效识别复杂产品再设计中各模块的主从关系，提升再设计效能，构建包括认知域、需求域及模块域的多域协同评价方法. 基于认知域中不同认知主体的情感需求及物理需求，完成设计需求域的建立. 结合模糊评价及相对偏好分析，获取需求域映射的各模块域间映射重要度. 考虑模块间的关联关系，提出模糊设计结构矩阵理论与DEMATEL结合，获取各模块的域内相关重要度. 运用合作博弈思维建立结合域间映射重要度及域内相关重要度的综合评价模型，识别各模块的主从关系. 相较于从单一角度进行模块重要度分析模式，所提方法的评价结果更为客观、全面、准确. 以CKA6180数控机床为例，验证多域协同的模块主从关系评价方法的有效性与可行性.


关键词： 复杂产品再设计,  多域协同,  产品模块,  主从识别,  综合评价模型 
Fig.1 Multi-domain mapping of complex product
评价信息 TFN
很强（VH） （0.75, 1.00, 1.00）
较强（H） （0.50, 0.75, 1.00）
较弱（L） （0.25, 0.50, 0.75）
很弱（VL） （0, 0.25, 0.50）
无（N） （0, 0, 0.25）
Tab.1 Corresponding numerical table of triangular fuzzy number
St $\hat z$
S1 S2 S3
S1 0 r r
S2 0 0 r
S3 r 0 0
Tab.2 Fuzzy relationship among modules
Fig.2 CKA6180 CNC machine tool
Fig.3 Decomposition of CKA6180 CNC machine tool functional modules
序号 模块名称 说明
① 加工模块S1 核心加工部分，根据技术保密需求仅展示床身
② 防护模块S2 保护机床整体及加工人员，防止加工废料飞溅；分为前防护和后防护
③ 观察模块S3 观察加工状态
④ 集屑模块S4 搜集加工废料并进行清洁处理
⑤ 操控模块S5 机床操作系统
⑥ 标识模块S6 企业标识及产品型号信息，主要位于机床的正面防护罩
⑦ 吊装模块S7 支撑机床的吊装过程
⑧ 检修模块S8 维护检修机床核心加工部位
⑨ 警示模块S9 警示灯一般安装在机床顶部，警示标贴及说明一般张贴在机床的正面防护罩上
⑩ 照明模块S10 位于后防护罩；照明加工空间
? 封装模块S11 辅助机床形成密闭空间，一般位于机床下部
? 电控模块S12 主要为加工及操控的线路排布、集成
Tab.3 Description table of function module for CKA6180 CNC machine tool
Fig.4 Research sample set of CNC machine tool
RK ωM ωG
简洁的 0.076 0.087
现代的 0.140 0.060
科技的 0.146 0.094
沉稳的 0.055 0.171
精致的 0.121 0.112
大气的 0.124 0.079
个性的 0.077 0.093
机械感的 0.054 0.136
厚重的 0.078 0.067
协调的 0.129 0.101
Tab.4 Weight of emotional needs of users and designers
${R_\alpha } $ $ \tilde \mu _\alpha ^R $ $ \hat \mu _\alpha ^R $
R1 (0.594, 0.844, 1.000) 0.691
R2 (0.375, 0.625, 0.875) 0.505
R3 (0.656, 0.906, 1.000) 0.735
R4 (0.344, 0.594, 0.844) 0.475
R5 (0.250, 0.500, 0.750) 0.386
R6 (0.438, 0.688, 0.938) 0.564
R7 (0.563, 0.813, 0.969) 0.661
R8 (0.094, 0.344, 0.594) 0.237
R9 (0.344, 0.594, 0.844) 0.475
R10 (0.094, 0.344, 0.594) 0.237
Tab.5 Evaluation results of importance of design requirements
${R_\alpha } $ ${\tilde \eta _t} $
S1 S2 S3 … S12
R1 (0.000, 0.130, 0.302) (0.432, 0.604, 0.691) (0.238, 0.410.0.583) … (0.000, 0.151, 0.324)
R2 (0.095, 0.205, 0.331) (0.300, 0.426, 0.505) (0.126, 0.252, 0.379) … (0.016, 0.142, 0.268)
R3 (0.046, 0.230, 0.414) (0.506, 0.690, 0.735) (0.345, 0.529, 0.712) … (0.046, 0.207, 0.391)
R4 (0.015, 0.205, 0.303) (0.163, 0.282, 0.401) (0.341, 0.460, 0.475) … (0.000, 0.000, 0.119)
$\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $ $\vdots $
R10 (0.022, 0.074, 0.133) (0.126, 0.185, 0.237) (0.067, 0.126, 0.185) … (0.015, 0.074, 0.133)
Tab.6 Fuzzy evaluation of importance of function modules of design requirement mapping
St $\widetilde z$
S1 S2 S3 S4 S5 … S10 S11 S12
S1 0 0.134 0.145 0.111 0.103 … 0.070 0.042 0.039
S2 0.184 0 0.131 0.111 0.070 … 0.089 0.123 0.039
S3 0.134 0.111 0 0.031 0.059 … 0.081 0.022 0.022
S4 0.192 0.167 0.039 0 0.042 … 0.014 0.089 0.022
S5 0.164 0.100 0.089 0.081 0 … 0.078 0.022 0.059
$ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $ $ \vdots $
S10 0.167 0.153 0.142 0.031 0.089 … 0 0.081 0.031
S11 0.123 0.156 0.164 0.164 0.039 … 0.070 0 0.047
S12 0.123 0.089 0.033 0.033 0.156 … 0.042 0.061 0
Tab.7 Standardized matrix of association among functional modules
St Jt Lt Nt
S1 6.427 3.707 10.134
S2 5.404 4.271 9.675
S3 4.142 2.746 6.888
S4 3.276 3.067 6.343
S5 3.828 3.726 7.554
S6 1.481 1.794 3.275
S7 1.408 2.623 4.031
S8 3.631 3.152 6.783
S9 2.425 3.474 5.899
S10 2.819 3.920 6.739
S11 2.823 3.840 6.663
S12 1.903 3.248 5.151
Tab.8 Autocorrelation among functional modules
Fig.5 Importance comparison diagram of CNC machine tool modules
[1]   谭建荣, 刘振宇, 徐敬华 新一代人工智能引领下的智能产品与装备[J]. 中国工程科学, 2018, 20 (4): 35- 43
TAN Jian-rong, LIU Zhen-yu, XU Jing-hua Intelligent products and equipment led by new-generation artificial intelligence[J]. Strategic Study of CAE, 2018, 20 (4): 35- 43
[2]   WANG Y, MA H S, YANG J H, et al Industry 4.0: a way from mass customization to mass personalization production[J]. Advances in Manufacturing, 2017, 5 (4): 311- 320
doi: 10.1007/s40436-017-0204-7
[3]   LIU Z H, ZHANG M T, LI Y P, et al Research on the module configuration of complex products considering the evolution of the product family[J]. Journal of Intelligent and Fuzzy Systems, 2020, 39 (3): 4577- 4595
doi: 10.3233/JIFS-200527
[4]   朱思羽, 胡洁, 戚进 基于美学、人体工学及性能的多因素融合设计[J]. 机械工程学报, 2020, 56 (21): 199- 207
ZHU Si-yu, HU Jie, QI Jin Multi-factor coupling design based on aesthetic measure, ergonomics, and performance[J]. Journal of Mechanical Engineering, 2020, 56 (21): 199- 207
doi: 10.3901/JME.2020.21.199
[5]   赖荣燊, 林文广, 吴永明 面向绿色性能优化的产品族模块再设计优先次序识别[J]. 中国机械工程, 2019, 30 (11): 1329- 1335
LAI Rong-shen, LIN Wen-guang, WU Yong-ming Redesign priority identification of product family modules for green performance optimization[J]. China Mechanical Engineering, 2019, 30 (11): 1329- 1335
doi: 10.3969/j.issn.1004-132X.2019.11.010
[6]   周鹏辉, 马红占, 陈东萍, 等 基于模糊随机故障模式与影响分析的产品再设计模块识别[J]. 上海交通大学学报, 2017, 51 (10): 1189- 1195
ZHOU Peng-hui, MA Zhan-hong, CHEN Dong-ping, et al Identification of product resign modules based on fuzzy random failure mode and effects analysis[J]. Journal of Shanghai Jiao Tong University, 2017, 51 (10): 1189- 1195
doi: 10.16183/j.cnki.jsjtu.2017.10.006
[7]   LI Y P, WANG Z T, ZHONG X Y, et al Identification of influential function modules within complex products and systems based on weighted and directed complex networks[J]. Journal of Intelligent Manufacturing, 2019, 30 (6): 2375- 2390
doi: 10.1007/s10845-018-1396-9
[8]   SHIN J H, KIRITSIS D, XIROUCHAKIS P Design modification supporting method based on product usage data in closed-loop PLM[J]. International Journal of Computer Integrated Manufacturing, 2015, 28 (6): 551- 568
doi: 10.1080/0951192X.2014.900866
[9]   MA H Z, CHU X N, XUE D Y, et al Identification of to-be-improved components for redesign of complex products and systems based on fuzzy QFD and FMEA[J]. Journal of Intelligent Manufacturing, 2019, 30 (2): 623- 639
doi: 10.1007/s10845-016-1269-z
[10]   YAN H B, MA T J A group decision-making approach to uncertain quality function deployment based on fuzzy preference relation and fuzzy majority[J]. European Journal of Operational Research, 2015, 241 (3): 815- 829
doi: 10.1016/j.ejor.2014.09.017
[11]   褚学宁, 陈汉斯, 马红占 性能数据驱动的机械产品关键设计参数识别方法[J]. 机械工程学报, 2021, 57 (3): 185- 196
CHU Xue-ning, CHEN Han-si, MA Hong-zhan Identification of critical design parameter for mechanical products based on performance data[J]. Journal of Mechanical Engineering, 2021, 57 (3): 185- 196
doi: 10.3901/JME.2021.03.185
[12]   张付英, 段晶莹, 陈建垒, 等 面向产品可持续设计的关键功能模块识别方法[J]. 计算机集成制造系统, 2019, 25 (7): 1828- 1838
ZHANG Fu-ying, DUAN Jing-ying, CHEN Jian-lei, et al Critical functional modules identification method for product sustainable design[J]. Computer Integrated Manufacturing Systems, 2019, 25 (7): 1828- 1838
doi: 10.13196/j.cims.2019.07.023
[13]   樊佳爽, 余隋怀, 初建杰, 等 云服务模式下设计方案的优选决策方法[J]. 浙江大学学报:工学版, 2020, 54 (1): 143- 151
FAN Jia-shuang, YU Sui-huai, CHU Jian-jie, et al Optimal decision-making method of design scheme in cloud service mode[J]. Journal of Zhejiang University: Engineering Science, 2020, 54 (1): 143- 151
[14]   耿秀丽, 邱华清 考虑顾客满意度的顾客需求重要度确定方法[J]. 计算机集成制造系统, 2019, 25 (8): 2025- 2035
GENG Xiu-li, QIU Hua-qing Customer requirements importance degree calculation method considering customer satisfaction[J]. Computer Integrated Manufacturing Systems, 2019, 25 (8): 2025- 2035
doi: 10.13196/j.cims.2019.08.017
[15]   陈国东, 陈思宇, 王军, 等 面向复合意象的产品形态多目标优化[J]. 中国机械工程, 2015, 26 (20): 2763- 2770
CHEN Guo-dong, CHEN Si-yu, WANG Jun, et al Multi-objective optimization method of composite imagery-oriented product form[J]. China Mechanical Engineering, 2015, 26 (20): 2763- 2770
doi: 10.3969/j.issn.1004-132X.2015.20.012
[16]   SAUER N S, RATNESHWAR S, SEN S Drivers of consumer–brand identification[J]. International Journal of Research in Marketing, 2012, 29: 406- 418
doi: 10.1016/j.ijresmar.2012.06.001
[17]   ZHANG X X, YANG M G, SU J N, et al Research on product color design decision driven by brand image[J]. Color Research and Application, 2020, 45 (6): 1202- 1216
doi: 10.1002/col.22540
[18]   周爱民, 刘宏斌, 张书涛, 等 面向汽车主客观审美评价的不确定性推理模型[J]. 浙江大学学报:工学版, 2021, 55 (3): 419- 429
ZHOU Ai-min, LIU Hong-bin, ZHANG Shu-tao, et al Uncertainty reasoning model of subjective and objective aesthetic evaluation of car[J]. Journal of Zhejiang University: Engineering Science, 2021, 55 (3): 419- 429
[19]   苏建宁, 张新新, 景楠, 等 认知差异下的产品造型意象熵评价研究[J]. 机械设计, 2016, 33 (3): 105- 108
SU Jian-ning, ZHANG Xin-xin, JING Nan, et al Research on the entropy evaluation of product styling image under the cognitive difference[J]. Journal of Machine Design, 2016, 33 (3): 105- 108
doi: 10.13841/j.cnki.jxsj.2016.03.022
[20]   柳禄, 章永年, 丁为民, 等 多目标驱动的拖拉机产品族外形基因设计[J]. 农业工程学报, 2017, 33 (17): 82- 90
LIU Lu, ZHANG Yong-nian, DING Wei-min, et al Design of multi-objective driven product family shape gene for tractor[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33 (17): 82- 90
doi: 10.11975/j.issn.1002-6819.2017.17.011
[21]   胡洁, 陈斌 创新设计中的源泉、机制和评价问题研究综述[J]. 包装工程, 2020, 41 (18): 60- 70
HU Jie, CHEN Bin Source, operating mechanism, and evaluation of innovative design[J]. Packaging Engineering, 2020, 41 (18): 60- 70
doi: 10.19554/j.cnki.1001-3563.2020.18.008
[22]   罗仕鉴 群智设计新思维[J]. 机械设计, 2020, 37 (3): 121- 127
LUO Shi-jian New thought of crowd intelligence design[J]. Journal of Machine Design, 2020, 37 (3): 121- 127
doi: 10.13841/j.cnki.jxsj.2020.03.020
[23]   KHALAJ J, PEDGLEY O A semantic discontinuity detection (SDD) method for comparing designers’ product expressions with users’ product impressions[J]. Design Studies, 2019, 62: 36- 67
doi: 10.1016/j.destud.2019.02.002
[24]   QIU K, SU J N, ZHANG X X, et al Evaluation and balance of cognitive friction: evaluation of product target image form combining entropy and game theory[J]. Symmetry, 2020, 12 (9): 1398
doi: 10.3390/sym12091398
[25]   肖人彬, 蔡池兰, 刘勇 公理设计的研究现状与问题分析[J]. 机械工程学报, 2008, 44 (12): 1- 11
XIAO Ren-bin, CAI Chi-lan, LIU Yong Current research situation and problem analysis of axiomatic design[J]. Journal of Mechanical Engineering, 2008, 44 (12): 1- 11
doi: 10.3901/JME.2008.12.001
[26]   耿秀丽, 徐士东, 叶春明 顾客需求驱动的产品服务系统模块选配方法[J]. 计算机集成制造系统, 2016, 22 (1): 55- 61
GENG Xiu-li, XU Shi-dong, YE Chun-ming Module configuration approach for product service system design driven by customer requirements[J]. Computer Integrated Manufacturing Systems, 2016, 22 (1): 55- 61
doi: 10.13196/j.cims.2016.01.005
[27]   孙亚东, 张旭, 宁汝新, 等 基于层次化设计结构矩阵的复杂产品研发过程研究[J]. 机械工程学报, 2011, 47 (16): 166- 175
SUN Ya-dong, ZHANG Xu, NING Ru-xin, et al Research on development process of complex product based on multi-level design structure matrix[J]. Journal of Mechanical Engineering, 2011, 47 (16): 166- 175
doi: 10.3901/JME.2011.16.166
[28]   NOMAGUCHI Y, SAITO M, FUJITA K Multi-domain DSM method for design process management of complex system[J]. Journal of Industrial and Production Engineering, 2015, 32 (7): 465- 472
doi: 10.1080/21681015.2015.1083487
[29]   郭伟飞, 雷琦, 宋豫川, 等 基于虚拟零部件的零等待约束复杂产品综合调度算法[J]. 机械工程学报, 2020, 56 (4): 246- 257
GUO Wei-fei, LEI Qi, SONG Yu-chuan, et al Integrated scheduling algorithm of complex product with no-wait constraint based on virtual component[J]. Journal of Mechanical Engineering, 2020, 56 (4): 246- 257
doi: 10.3901/JME.2020.04.246
[30]   SUN Q C, HUANG W Q, JIANG Y J, et al Information flow scheduling in concurrent multi-product development based on DSM[J]. Chinese Journal of Mechanical Engineering, 2017, 30 (5): 1101- 1111
doi: 10.1007/s10033-017-0160-y
[31]   SANGAIAH A K, GOPAL J, BASU A, et al An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome[J]. Neural Computing and Applications, 2017, 28 (1): 111- 123
doi: 10.1007/s00521-015-2040-7
[32]   朱春艳, 杨明顺, 高新勤, 等 基于DEMATEL和熵的顾客需求重要度修正[J]. 工业工程与管理, 2012, 17 (3): 97- 101
ZHU Chun-yan, YANG Ming-shun, GAO Xin-qin, et al Modifying the importance ratings of customer requirements based on DEMATEL and entropy[J]. Industrial Engineering and Management, 2012, 17 (3): 97- 101
doi: 10.3969/j.issn.1007-5429.2012.03.017
[33]   张蕾, 冯良清, 王娟. 服务型制造网络模块化质量属性识别研究[EB/OL]. [2021-10-06]. https://kns.cnki.net/kcms/detail/11.5946.TP.20210622.1026.004.html.
[34]   张英芝, 荣峰, 申桂香, 等 基于市场竞争及自相关关系的数控机床可用性需求指标权重计算[J]. 计算机集成制造系统, 2016, 22 (7): 1687- 1694
ZHANG Ying-zhi, RONG Feng, SHEN Gui-xiang, et al Weight calculation for availability demand index of CNC machine tools based on market competition and self-correlation[J]. Computer Integrated Manufacturing Systems, 2016, 22 (7): 1687- 1694
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