Please wait a minute...
浙江大学学报(工学版)  2019, Vol. 53 Issue (3): 444-454    DOI: 10.3785/j.issn.1008-973X.2019.03.005
机械工程     
云设计制造模式下的社交化协作团队构建方法
陈健(),莫蓉,初建杰*(),陈登凯,宫静
西北工业大学 陕西省工业设计工程实验室,陕西 西安 710072
Construction of social collaboration team in cloud design and manufacturing mode
Jian CHEN(),Rong MO,Jian-jie CHU*(),Deng-kai CHEN,Jing GONG
Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi'an 710072, China
 全文: PDF(1020 KB)   HTML
摘要:

研究云环境中提供设计与制造服务成员的社交化协同合作形式,针对云设计制造模式特征与社交化协作团队成员特点,以团队成员综合服务能力为研究对象建立优选指标体系,着重分析优选过程中需要考虑的定量与定性指标,采用量化研究方法为优选指标给出计算依据,并依据优选指体系建立一种面向云设计制造模式的团队优化构建模型,将团队成员选择过程转化为多目标优化过程,采用灰色关联度分析法对模型进行求解,以此解决云环境中团队成员存在的不确定性、差异性与多样性问题,实现社交化协作团队的构建. 以医疗镇痛泵研发任务中团队构建过程为例,说明所提方法的有效性和正确性.

关键词: 社交化协作团队构建优选体系灰色关联度分析云设计制造(CBDM)    
Abstract:

The social collaborative forms of members who provide design and manufacturing service in the cloud environment were investigated. Aiming at the characteristics of cloud-based design and manufacturing (CBDM) model and the characteristics of social collaborative team members, the optimization index system was established taking the comprehensive service ability of team members as the research object; the quantitative and qualitative indexes to be considered in the optimization selection process were analyzed. Based on the quantitative research method, the calculation basis of the optimal index was given, and a social collaboration team optimization construction model for cloud design and manufacturing model was established according to the preference index system. The selection process of team members was transformed into multi-objective optimization process, and a grey correlation analysis method was used to solve the model, so as to solve the uncertainty, diversity and difference of team members in the cloud environment and realize the construction of the social collaboration team. The team building process of the medical analgesia pump was taken as an example to illustrate the validity and correctness of the proposed method.

Key words: social collaboration    team construction    optimization system    grey relational analysis    cloud-based design and manufacturing (CBDM)
收稿日期: 2018-05-23 出版日期: 2019-03-04
CLC:  TP 391.7  
通讯作者: 初建杰     E-mail: ureycj@163.com;cjj@nwpu.edu.cn
作者简介: 陈健(1987—),男,博士生,从事计算机辅助工业设计、云设计服务研究. orcid.org/0000-0002-5386-4852. E-mail: ureycj@163.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章  
陈健
莫蓉
初建杰
陈登凯
宫静

引用本文:

陈健,莫蓉,初建杰,陈登凯,宫静. 云设计制造模式下的社交化协作团队构建方法[J]. 浙江大学学报(工学版), 2019, 53(3): 444-454.

Jian CHEN,Rong MO,Jian-jie CHU,Deng-kai CHEN,Jing GONG. Construction of social collaboration team in cloud design and manufacturing mode. Journal of ZheJiang University (Engineering Science), 2019, 53(3): 444-454.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2019.03.005        http://www.zjujournals.com/eng/CN/Y2019/V53/I3/444

图 1  云设计制造模式服务体系与流程
图 2  社交化团队构建优化过程
图 3  团队成员指标优化方向
图 4  社交化协作团队优化构建模型
子任务编号 成员集合编号 名称
t1 ${{S}}_{\rm CM}^1$ 概念设计
t2 ${{S}}_{\rm CM}^2$ 造型设计
t3 ${{S}}_{\rm CM}^3$ 结构设计
t4 ${{S}}_{\rm CM}^4$ 人机工效设计
t5 ${{S}}_{\rm CM}^5$ 样机试制
t6 ${{S}}_{\rm CM}^6$ 模具设计
表 1  医疗镇痛泵设计制造子任务编号
图 5  子任务间关系及工作流顺序
子任务 成员集合 成员编号 候选成员
$t_1$ ${{S}}_{\rm CM}^1$ ${{M}}_1^1$ 设计公司A
${{M}}_2^1$ 大学A
$t_2$ ${{S}}_{\rm CM}^2$ ${{M}}_1^2$ 设计公司A
${{M}}_2^2$ 设计公司B
${{M}}_3^2$ 设计研究所A
$t_3$ ${{S}}_{\rm CM}^3$ ${{M}}_1^3$ 设计公司B
${{M}}_2^3$ 设计公司C
${{M}}_3^3$ 大学B
$t_4$ ${{S}}_{\rm CM}^4$ ${{M}}_1^4$ 设计研究所A
${{M}}_2^4$ 大学A
$t_5$ ${{S}}_{\rm CM}^5$ ${{M}}_1^5$ CNC公司
${{M}}_2^5$ 3D打印公司
$t_6$ ${{S}}_{\rm CM}^6$ ${{M}}_1^6$ 设计公司B
${{M}}_2^6$ 制造企业A
${{M}}_3^6$ 制造企业B
表 2  医疗镇痛泵设计制造子任务对应候选成员
图 6  团队构建方案示意图
优选指标 T C Q R O S
目标变量 Te Tw T1 Cs C1 Qp Qe Qs Rt Rs Rc Ot Os On
${{M}}_1^1$ 0.20 0.04 0.00 0.52 0.00 0.30 0.20 0.20 0.27 0.12 0.11 0.20 0.11 0.06 0.02
${{M}}_2^1$ 0.70 0.08 0.00 0.37 0.00 0.33 0.12 0.18 0.37 0.22 0.21 0.11 0.19 0.22 0.05
${{M}}_1^2$ 0.30 0.06 0.00 0.48 0.00 0.40 0.09 0.15 0.23 0.27 0.29 0.25 0.09 0.01 0.04
${{M}}_2^2$ 0.40 0.02 0.00 0.55 0.00 0.28 0.22 0.17 0.31 0.09 0.10 0.29 0.05 0.04 0.32
${{M}}_3^2$ 0.80 0.07 0.00 0.33 0.00 0.42 0.33 0.09 0.18 0.29 0.21 0.19 0.21 0.31 0.26
${{M}}_1^3$ 0.40 0.02 0.00 0.62 0.00 0.44 0.14 0.33 0.20 0.28 0.30 0.31 0.14 0.09 0.37
${{M}}_2^3$ 0.33 0.01 0.00 0.55 0.00 0.39 0.28 0.11 0.26 0.20 0.19 0.27 0.21 0.11 0.26
${{M}}_3^3$ 0.80 0.07 0.00 0.34 0.00 0.20 0.18 0.22 0.19 0.26 0.27 0.14 0.27 0.31 0.43
${{M}}_1^4$ 0.44 0.01 0.00 0.28 0.00 0.35 0.22 0.30 0.24 0.29 0.18 0.13 0.31 0.27 0.02
${{M}}_2^4$ 0.51 0.20 0.00 0.22 0.00 0.44 0.18 0.22 0.20 0.21 0.15 0.12 0.23 0.33 0.08
${{M}}_1^5$ 0.30 0.02 0.02 0.45 0.01 0.39 0.31 0.15 0.40 0.10 0.19 0.34 0.22 0.19 0.01
${{M}}_2^5$ 0.10 0.00 0.02 0.86 0.01 0.20 0.09 0.35 0.22 0.09 0.14 0.21 0.29 0.09 0.00
${{M}}_1^6$ 0.33 0.01 0.00 0.42 0.00 0.29 0.30 0.20 0.33 0.04 0.20 0.31 0.24 0.22 0.00
${{M}}_2^6$ 0.40 0.02 0.00 0.37 0.00 0.22 0.36 0.19 0.41 0.01 0.25 0.24 0.21 0.19 0.01
${{M}}_3^6$ 0.47 0.00 0.00 0.51 0.00 0.31 0.29 0.27 0.38 0.05 0.31 0.33 0.16 0.22 0.00
表 3  团队候选成员的指标体系与归一化参数
方案 ri 方案 ri 方案 ri 方案 ri
1 0.473 1 5 0.541 1 ··· ··· 141 0.446 9
2 0.512 6 0.547 1 89 0.566 9 142 0.422 9
3 0.501 1 7 0.410 1 90 0.591 2 143 0.436 1
4 0.538 8 0.454 4 ··· ··· 144 0.404 8
表 4  144种团队构建方案与理想最优方案接近程度值
1 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 (C): 1- 14
2 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 (3): 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 (3): 720- 730
3 BUYYA R, YEO C S, VENUGOPAL S, et al Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility[J]. Future Generation Computer Systems, 2009, 25 (6): 599- 616
doi: 10.1016/j.future.2008.12.001
4 李伯虎, 张霖, 任磊, 等 再论云制造[J]. 计算机集成制造系统, 2011, 11 (3): 449- 457
LI Bo-hu, ZHANG Lin, REN Lei, et al Further discussion on cloud manufacturing[J]. Computer Integrated Manufacturing System, 2011, 11 (3): 449- 457
5 张丽娜, 余阳 海量O2O服务组合的优化[J]. 浙江大学学报: 工学版, 2017, 51 (6): 1259- 1268
ZHANG Li-na, YU Yang Optimization of massive O2O service composition[J]. Journal of Zhejiang University: Engineering Science, 2017, 51 (6): 1259- 1268
6 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
7 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
8 QUELIN B Core competencies, R&D management and partnerships[J]. European Management Journal, 2000, 18 (5): 476- 487
doi: 10.1016/S0263-2373(00)00037-2
9 CHEN S J, LIN L Modeling team member characteristics for the formation of a multifunctional team in concurrent engineering[J]. IEEE Transactions on Engineering Management, 2004, 51 (2): 111- 124
doi: 10.1109/TEM.2004.826011
10 FENG B, JIANG Z Z, FAN Z P, et al A method for member selection of cross-functional teams using the individual and collaborative performances[J]. European Journal of Operational Research, 2010, 203 (3): 652- 661
doi: 10.1016/j.ejor.2009.08.017
11 WANG Z, YAN H S, MA X D A quantitative approach to the organisation of cross-functional teams in concurrent engineering[J]. International Journal of Advanced Manufacturing Technology, 2003, 21 (10-11): 879- 888
doi: 10.1007/s00170-002-1409-9
12 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
13 ARDAGNA D, PERNICI B Adaptive Service composition in flexible processes[J]. IEEE Transactions on Software Engineering, 2007, 33 (6): 369- 384
doi: 10.1109/TSE.2007.1011
14 TAO F, ZHAO D, HU Y, et al Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system[J]. IEEE Transactions on Industrial Informatics, 2009, 4 (4): 315- 327
15 郏维强, 冯毅雄, 谭建荣, 等 制造资源混合粒度优化组合方案求解技术[J]. 计算机辅助设计与图形学学报, 2012, 24 (3): 281- 289
JIA Wei-qiang, FENG Yi-xiong, TAN Jian-rong, et al Scheme solving technology for clustering optimization of manufacturing resources with hybrid granularities[J]. Journal of Computer-Aided Design and Computer Graphics, 2012, 24 (3): 281- 289
doi: 10.3969/j.issn.1003-9775.2012.03.001
16 刘波. 云制造环境中面向多任务的服务组合与优化技术研究[D]. 重庆: 重庆大学, 2012.
LIU Bo. Study on multi-task oriented services composition and optimization in cloud manufacturing[D]. Chongqing: Chongqing University, 2012.
17 贺东京, 宋晓, 王琪, 等 基于云服务的复杂产品协同设计方法[J]. 计算机集成制造系统, 2011, 17 (3): 533- 539
HE Dong-jing, SONG Xiao, WANG Qi, et al Method for complex product collaborative design based on cloud service[J]. Computer Integrated Manufacturing Systems, 2011, 17 (3): 533- 539
18 TU Y L, KAM J J Manufacturing network for rapid tool/die making[J]. International Journal of Computer Integrated Manufacturing, 2006, 19 (1): 79- 89
doi: 10.1080/09511920500174299
19 易树平, 谭明智, 郭宗林, 等 云制造服务平台中的制造任务分解模式优化[J]. 计算机集成制造系统, 2015, 21 (8): 2201- 2212
YI Shu-ping, TAN Ming-zhi, GUO Zong-lin, et al Manufacturing task decomposition optimization in cloud manufacturing service platform[J]. Computer Integrated Manufacturing System, 2015, 21 (8): 2201- 2212
20 易安斌. 云制造资源服务组合优化选择问题研究[D]. 广东: 华南理工大学, 2016.
YI An-bin. Research on resource service composition optimal-selection problem in cloud manufacturing[D]. Guangdong: South China University of Technology, 2016.
21 尹超, 张云, 钟婷 面向新产品开发的云制造服务资源组合优选模型[J]. 计算机集成制造系统, 2012, 18 (7): 1368- 1378
YIN Chao, ZHANG Yun, ZHONG Ting Optimization model of cloud manufacturing services resource combination for new product development[J]. Computer Integrated Manufacturing Systems, 2012, 18 (7): 1368- 1378
22 WANG X, VITVAR T, KERRIGAN M, et al A QoS-aware selection model for semantic web services[J]. Lecture Notes in Computer Science, 2006, 4294/2006: 390- 401
23 吴英. 基于众包的云制造运作模式及其服务组合研究[D]. 安徽: 安徽工程大学, 2016.
WU Ying, Research on operation mode of cloud manufacturing based on crowdsourcing and its service composition [D]. Anhui: Anhui Polytechinc University, 2016.
[1] 何雪军, 王进, 陆国栋, 刘振宇, 陈立, 金晶. 基于三角网切片及碰撞检测的工业机器人三维头像雕刻[J]. 浙江大学学报(工学版), 2017, 51(6): 1104-1110.
[2] 何雪军,王进,陆国栋,陈立. 岛中含湖型截面的环切刀轨连接方法[J]. 浙江大学学报(工学版), 2016, 50(9): 1654-1661.
[3] 吴尧锋,王文,卢科青,魏燕定,陈子辰. 边界聚类椭圆快速检测方法[J]. 浙江大学学报(工学版), 2016, 50(3): 405-411.
[4] 沈铭瑜, 裘乐淼, 谭建荣, 伍晓榕. 性能需求驱动的产品细分结构主动推送设计[J]. 浙江大学学报(工学版), 2015, 49(2): 287-295.
[5] 王诗言, 于慧敏. 运动场景下的时空域跟踪模型及原始-对偶算法[J]. J4, 2013, 47(4): 630-637.
[6] 沈晔 ,李敏丹,夏顺仁. 计算机辅助乳腺癌诊断中的非平衡学习技术[J]. J4, 2013, 47(1): 1-7.
[7] 沈晔, 李敏丹, 夏顺仁. 计算机辅助乳腺癌诊断中的非平衡学习技术[J]. J4, 2013, 47(1): 1-7.
[8] 孙良峰, 张树有, 裘乐淼, 胡琨. 产品模块可再生模型与再生技术[J]. J4, 2012, 46(10): 1744-1756.
[9] 周懿, 钟崴, 谢金芳, 童水光. 过程型机械系统的方案设计模型[J]. J4, 2012, 46(8): 1526-1533.
[10] 赵杰伊,唐敏,童若锋. 基于CUDA的细分曲面阴影体算法[J]. J4, 2012, 46(7): 1301-1306.
[11] 刘晓健, 张树有, 张建新, 张金美. 产品设计更改在弱连接结构上的传播[J]. J4, 2012, 46(6): 1041-1047.
[12] 徐进, 张树有, 费少梅. 基于自适应粒子群的产品再制造拆卸规划[J]. J4, 2011, 45(10): 1746-1752.
[13] 沈莞蔷,汪国昭. 一类新的广义Ball基及其相应曲线[J]. J4, 2011, 45(3): 435-439.
[14] 刘晓健,张树有,徐敬华. 基于网络流Petri网模型的设计更改技术[J]. J4, 2011, 45(1): 37-44.
[15] 周联, 王国瑾. 权因子优化的有理Bézier曲线显式约束降多阶[J]. J4, 2010, 44(12): 2229-2235.