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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2020, Vol. 54 Issue (1): 143-151    DOI: 10.3785/j.issn.1008-973X.2020.01.017
Computer Technology, Information Engineering     
Optimal decision-making method of design scheme in cloud service mode
Jia-shuang FAN(),Sui-huai YU,Jian-jie CHU*(),Hui WANG,Chen CHEN,Wen-zhe CUN,Tian CHEN,Jia-yan GUO
Shanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi'an 710072, China
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Abstract  

A method of design scheme optimization decision-making based on quality function configuration and rough set theory was proposed aiming at the problem that the diversity and difference of users are not fully considered in the multi-objective optimization decision-making process of design scheme under cloud service mode. The design decision-making process mode and fuzzy evaluation mechanism participated by users were introduced based on the analysis of cloud service mode in order to meet the needs of users cluster analysis and intelligent transformation. The evaluation index system of design scheme for user needs was established to quantify the importance of evaluation index of design scheme in the process of networked collaborative design. The third-order model of design scheme optimization decision under cloud service mode was proposed according to the principle of combining science and system. The model was solved combined with rough set theory and rough approximation ideal solution. The validity and feasibility of the method were verified by taking yacht design scheme on cloud service platform as an example.

Key words： cloud service mode      design scheme      multi-objective optimization decision      quality function development (QFD)      rough set theory     
Received: 27 November 2018      Published: 05 January 2020
CLC:  TP 391  
Corresponding Authors: Jian-jie CHU     E-mail: 1450630672@qq.com;cjj@nwpu.edu.cn
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Jia-shuang FAN
Sui-huai YU
Jian-jie CHU
Hui WANG
Chen CHEN
Wen-zhe CUN
Tian CHEN
Jia-yan GUO
Cite this article:

Jia-shuang FAN,Sui-huai YU,Jian-jie CHU,Hui WANG,Chen CHEN,Wen-zhe CUN,Tian CHEN,Jia-yan GUO. Optimal decision-making method of design scheme in cloud service mode. Journal of ZheJiang University (Engineering Science), 2020, 54(1): 143-151.

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http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2020.01.017     OR     http://www.zjujournals.com/eng/Y2020/V54/I1/143


云服务模式下设计方案的优选决策方法

针对云服务模式下设计方案在多目标优选决策过程中未能充分考虑到用户多元化和差异性的需求问题，提出结合质量功能配置和粗糙集理论的设计方案优选决策方法. 该方法在分析云服务模式的基础上，引入用户参与的设计决策过程方式和模糊评价机制，对用户需求进行聚类分析和智能转化. 建立面向用户需求的设计方案评价指标体系，对网络化协同设计过程中的设计方案评价指标的重要度进行准确量化. 遵循科学性与系统性相结合的原则，提出云服务模式下设计方案优选决策三阶模型. 结合粗糙集理论和粗糙逼近理想解法，对该模型进行求解. 以云服务平台上的游艇设计方案为例，验证该方法的有效性和可行性.


关键词： 云服务模式,  设计方案,  多目标优选决策,  质量功能配置(QFD),  粗糙集理论 
Fig.1 Decision-making process of design scheme
Fig.2 Demand transformation based on house of quality
一级 二级 需求
美观性需求R1 美学性R11 色彩搭配合理，科技与艺术结合
时代性R12 造型美观大方，具有时代精神意义
协调性R13 协调的比例和尺度、完美的造型
创新性需求R2 先导性R21 设计理念独特新颖
附加值R22 提高产品附加值和品牌价值
个性化R23 独具一格，个性化定制
功能性需求R3 可靠性R31 材料运用合理，品质精良
实用性R32 功能合理，满足用户多方面的要求
技术性R33 性能稳定，技术先进，提高产品竞争力
Tab.1 User demand information of yacht design task
一级需求 一级需求重要程度 二级需求 二级需求重要程度
美观性需求R1 0.150 6 美学性R11 0.678 5
美观性需求R1 0.150 6 时代性R12 0.417 1
美观性需求R1 0.150 6 协调性R13 0.578 1
创新性需求R2 0.916 1 先导性R21 0.436 4
创新性需求R2 0.916 1 附加值R22 0.617 2
创新性需求R2 0.916 1 个性化R23 0.218 2
功能性需求R3 0.371 5 可靠性R31 0.669 1
功能性需求R3 0.371 5 实用性R32 0.206 4
功能性需求R3 0.371 5 技术性R33 0.523 1
Tab.2 Importance of user requirements for yacht
Fig.4 Evaluation index system of yacht design
一级需求 二级需求 美观性指标I1 创新性指标I2 功能性指标I3
美学性I11 时代性I12 先导性I21 个性化I22 可靠性I31 技术性I32
R1 R11 1 0.675 2 0.528 8 0.628 8 0.716 3 0.716 3
R1 R12 0.756 5 1 0.116 9 0.116 9 0.116 9 0.083 1
R1 R13 0.804 7 0.704 7 0.117 4 0.117 4 0.068 8 0.068 8
R2 R21 0.302 2 0.365 2 1 0.567 5 0.547 6 0.547 6
R2 R22 0.217 5 0.217 5 0.701 1 0.760 2 0.134 6 0.134 6
R2 R23 0.355 6 0.201 6 0.695 8 1 0.064 8 0.064 8
R3 R31 0.454 8 0.451 2 0.514 9 0.614 9 1 0.760 8
R3 R32 0.267 6 0.267 6 0.318 5 0.218 5 0.601 2 0.701 2
R3 R33 0.395 4 0.295 4 0.444 2 0.344 2 0.844 2 1
Tab.3 Relationship matrix between user requirement and evaluation index for yacht
Fig.3 Demand transformation of yacht design
Fig.5 Weight of evaluation index of yacht design
评价指标 二级指标 设计方案
S1 S2 S3 S4 S5 S6
I1 I11 [0.072,0.085] [0.078,0.096] [0.051,0.069] [0.036,0.053] [0.072,0.107] [0.017,0.021]
I1 I12 [0.011,0.013] [0.007,0.010] [0.003,0.006] [0.021,0.025] [0.045,0.067] [0.014,0.016]
I2 I21 [0.061,0.070] [0.046,0.058] [0.026,0.039] [0.006,0.008] [0.015,0.022] [0.004,0.005]
I2 I22 [0.004,0.005] [0.004,0.005] [0.006,0.009] [0.002,0.002] [0.004,0.005] [0.005,0.008]
I3 I31 [0.016,0.021] [0.013,0.017] [0.031,0.042] [0.011,0.015] [0.025,0.034] [0.011,0.013]
I3 I32 [0.008,0.011] [0.012,0.021] [0.003,0.004] [0.005,0.006] [0.008,0.013] [0.006,0.008]
Tab.4 Rough evaluation matrix of yacht design
评价指标 二级指标 正理想解 负理想解
S1 S2 S3 S4 S5 S6 S1 S2 S3 S4 S5 S6
I1 I11 0.028 0.037 0.013 0.058 0.058 0.005 0.018 0.013 0.037 0.025 0.025 0.069
I1 I12 0.008 0.005 0.002 0.014 0.035 0.002 0.001 0.005 0.008 0.031 0.015 0.043
I2 I21 0.039 0.026 0.009 0.006 0.012 0.001 0.006 0.019 0.037 0.010 0.005 0.014
I2 I22 0.000 0.001 0.004 0.000 0.003 0.005 0.005 0.004 0.002 0.006 0.004 0.002
I3 I31 0.006 0.002 0.024 0.003 0.019 0.001 0.024 0.027 0.008 0.021 0.007 0.022
I3 I32 0.007 0.014 0.000 0.001 0.007 0.003 0.011 0.006 0.017 0.008 0.004 0.006
Tab.5 Positive and negative ideal solutions of yacht design scheme
设计方案 正理想解 负理想解 贴近度
S1 0.333 0.302 0.525
S2 0.355 0.306 0.537
S3 0.240 0.402 0.374
S4 0.328 0.308 0.539
S5 0.337 0.305 0.526
S6 0.413 0.202 0.309
Tab.6 Close degree of yacht design
Fig.6 Yacht design optimization scheme（S4）
Fig.7 Satisfaction evaluation for yacht design
[1]   杜瑞忠, 田俊峰, 张焕国 基于信任和个性偏好的云服务选择模型[J]. 浙江大学学报: 工学版, 2013, 47 (1): 53- 61
DU Rui-zhong, TIAN Jun-feng, ZHANG Huan-guo Cloud service selection model based on trust and personality preferences[J]. Journal of Zhejiang University: Engineering Science, 2013, 47 (1): 53- 61
[2]   张倩, 齐德昱 面向服务的云制造协同设计平台[J]. 华南理工大学学报: 自然科学版, 2011, 39 (12): 75- 81
ZHANG Qian, QI De-yu Service oriented cloud manufacturing collaborative design platform[J]. Journal of South China University of Technology: Natural Science Edition, 2011, 39 (12): 75- 81
[3]   WU D, ROSEN D W, WANG L, et al Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation[J]. Computer Aided Design, 2015, 59: 1- 14
doi: 10.1016/j.cad.2014.07.006
[4]   初建杰, 李雪瑞, 余隋怀 面向工业设计全产业链的云服务平台关键技术研究[J]. 机械设计, 2016, 33 (11): 125- 128
CHU Jian-jie, LI Xue-rui, YU Sui-huai Key technologies of cloud service platform oriented to the whole chain of industrial design[J]. Computer Integrated Manufacturing System, 2016, 33 (11): 125- 128
[5]   刘敬, 余隋怀, 初建杰, 等 设计云服务平台下的网络团队成员优选决策[J]. 计算机集成制造系统, 2017, 23 (6): 1205- 1215
LIU Jing, YU Sui-huai, CHU Jian-jie, et al Member optimal selection of network team[J]. Computer Integrated Manufacturing Systems, 2017, 23 (6): 1205- 1215
[6]   樊佳爽, 余隋怀, 初建杰, 等 面向工业设计云服务平台的多目标创意设计评价方法[J]. 计算机集成制造系统, 2019, 25 (01): 173- 181
FAN Jia-shuang, YU Sui-huai, CHU Jian-jie, et al Multi-objective creative design evaluation method for industrial design cloud service platform[J]. Computer Integrated Manufacturing Systems, 2019, 25 (01): 173- 181
[7]   陈健, 莫蓉, 初建杰, 等 工业设计云服务平台协同任务模块化重组与分配方法[J]. 计算机集成制造系统, 2018, 24 (03): 720- 730
CHEN Jian, MO Rong, CHU Jian-jie, et al Modular restructuring and distribution method of collaborative task in industrial design cloud platform[J]. Computer Integrated Manufacturing System, 2018, 24 (03): 720- 730
[8]   FERRER A, HERNANDEZ F, TORDSSON J, et al OPTIMIS: a holistic approach to cloud service provisioning[J]. Future Generation Computer Systems, 2012, 28 (1): 66- 77
doi: 10.1016/j.future.2011.05.022
[9]   WANG S, LIU Z, SUN Q, et al Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing[J]. Journal of Intelligent Manufacturing, 2014, 25 (2): 283- 291
doi: 10.1007/s10845-012-0661-6
[10]   YAMATO Y, SHIGEMATSU N, MIURA N Evaluation of agile software development method for carrier cloud service platform development[J]. IEICE Transactions on Information and Systems, 2014, 97 (11): 2959- 2962
[11]   FAN J, YU S, CHU J, et al Research on multi-objective decision-making under cloud platform based on quality function deployment and uncertain linguistic variables[J]. Advanced Engineering Informatics, 2019, 42 (10): 100932
[12]   郝楠楠, 郑兵, 张超勇 灰模糊积分在多目标决策中的应用[J]. 浙江大学学报: 工学版, 2018, 52 (4): 663- 673
HAO Nan-nan, ZHENG Bing, ZHANG Chao-yong Application of grey fuzzy integral in multi-objectivedecision making[J]. Journal of Zhejiang University: Engineering Science, 2018, 52 (4): 663- 673
[13]   王仁超, 邓剑, 曹婷婷 基于改进VIKOR法的进度计划方案选择问题研究[J]. 浙江大学学报: 工学版, 2016, 50 (10): 2025- 2030
WANG Ren-chao, DENG Jian, CAO Ting-ting Selection of construction project schedule alternatives based on improved method[J]. Journal of Zhejiang University: Engineering Science, 2016, 50 (10): 2025- 2030
[14]   邱华清, 耿秀丽 基于多目标规划的产品延伸服务规划方法[J]. 计算机集成制造系统, 2017, (8): 2061- 2070
QIU Hua-qing, GENG Xiu-li Planning approach for product-extension service based on multi-objective optimization[J]. Computer Integrated Manufacturing Systems, 2017, (8): 2061- 2070
[15]   SUZUKI S, NIJKAMP P An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: design of a target-oriented DFM model with fixed factors in data envelopment analysis[J]. Energy Policy, 2016, 88: 100- 112
doi: 10.1016/j.enpol.2015.10.007
[16]   CHOA J, LEE J Development of a new technology product evaluation model for assessing commercialization opportunities using Delphi method and fuzzy AHP approach[J]. Expert Systems with Applications, 2013, 40 (13): 5314- 5330
doi: 10.1016/j.eswa.2013.03.038
[17]   ESTRELLA F J, ESPINILLA M, MARTINEZ L Fuzzy linguistic olive oil sensory evaluation model based on unbalanced linguistic scales[J]. Journal of Multiple-Valued Logic and Soft Computing, 2014, 22 (46): 501- 520
[18]   KANNNAN D, KHODAVERDI R, OLFAT L, et al Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain[J]. Journal of Cleaner Production, 2013, 47 (05): 355- 367
[19]   乔现玲, 胡志刚 基于质量屋的缝纫机产品改良设计决策研究[J]. 制造业自动化, 2011, 33 (6): 139- 142
QIAO Xian-ling, HU Zhi-gang Study on improvement design decision of sewing product based on house of quality[J]. Manufacturing Automation, 2011, 33 (6): 139- 142
doi: 10.3969/j.issn.1009-0134.2011.3b.48
[20]   QU M, YU S, YU M An improved approach to evaluate car sharing options[J]. Ecological indicators, 2017, 72 (02): 686- 702
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