协同产品创新联盟伙伴选择决策
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摘要
选择合适、胜任的合作伙伴是提高协同产品创新绩效,确保协同产品创新工作取得成功的重要前提。基于伙伴个体属性和协同属性的视角,提出了一种考虑知识匹配度和协同创新整体收益的伙伴选择决策方法。构建了集成伙伴个体的知识匹配度、伙伴间的知识协作能力和联盟整体期望收益3大属性的综合指标体系;建立了基于综合指标体系的伙伴选择多目标优化模型,并采用带精英策略的快速非支配排序遗传算法求解该模型。通过实例分析,验证了该伙伴选择方法的可行性及实际应用价值。
Partner selection is the key to the success of collaborative product innovation.A partner selection decision method was proposed from a knowledge collaboration perspective.The partner selection index system was constructed by considering the knowledge matching degree of candidates,the knowledge collaborative performance among candidates,and the overall expected revenue of CPI alliance.Then a quantitative method based on the vector space model and the synergetic matrix method was proposed,which induced a comprehensive performance from partners.Furthermore,a multi-objective optimization model was developed to select desirable partners,and a fast elitist NonDominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ)was proposed to solve the partner selection model.A real case was analyzed to verify the feasibility and validity of the proposed model,and the result showed that the proposed method could effectively improve the probability of the stability and success of CPI alliances.
Partner selection is the key to the success of collaborative product innovation.A partner selection decision method was proposed from a knowledge collaboration perspective.The partner selection index system was constructed by considering the knowledge matching degree of candidates,the knowledge collaborative performance among candidates,and the overall expected revenue of CPI alliance.Then a quantitative method based on the vector space model and the synergetic matrix method was proposed,which induced a comprehensive performance from partners.Furthermore,a multi-objective optimization model was developed to select desirable partners,and a fast elitist NonDominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ)was proposed to solve the partner selection model.A real case was analyzed to verify the feasibility and validity of the proposed model,and the result showed that the proposed method could effectively improve the probability of the stability and success of CPI alliances.
引文
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[17]TONG Shiqi,WANG Nuo,DANG Yanzhong.Project partner selection method based on resources complementarity[J].Operations Research and Management Science,2017,26(5):176-183(in Chinese).[佟士祺,王诺,党延忠.基于资源互补的项目伙伴选择方法[J].运筹与管理,2017,26(5):176-183.]
[18]DING X,HUANG R.Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation[J].European Journal of Operational Research,2010,201(3):949-959.
[19]SHEU H,PEI W,CHIEN M,et al.An analytic hierarchy process approach with linguistic variables for selection of an R&D strategic alliance partner[J].Computers&Industrial Engineering,2010,58(2):278-287.
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[21]CHEN Juhong,WANG Yinluo,SUN Linyan.Study on the processes and methods of partner selection in virtual organization[J].Systems Engineering-Theory&Practice,2001,21(7):48-53(in Chinese).[陈菊红,汪应洛,孙林岩.虚拟企业伙伴选择过程及方法研究[J].系统工程理论与实践,2001,21(7):48-53.]
[22]FENG Weidong,CHEN Jian,ZHAO Chunjun.Partners selection process and optimization model for virtual corporations based on genetic algorithms[J].Journal of Tsinghua University:Natural Science,2000,40(10):120-124(in Chinese).[冯蔚东,陈剑,赵纯均.基于遗传算法的动态联盟伙伴选择过程及优化模型[J].清华大学学报:自然科学版,2000,40(10):120-124.]
[23]REZA F.Suppliers selection in the presence of both cardinal and ordinal data[J].European Journal of Operational Research,2007,183(2):741-746.
[24]LIU Shuqing,LI Chunhua.The optimal selection of collaborative innovational participants combination model based on improved TOPSIS[J].Industrial Engineering and Management,2016,21(5):1-8(in Chinese).[刘书庆,李春花.基于改进型TOPSIS的协同创新参与主体组合模式优选模型研究[J].工业工程与管理,2016,21(5):1-8.]
[25]SHAO Minghui,WU Biao,ZHANG Lupeng.The optimization decision-making analysis for partners in innovation based on SVM-TOPSIS[J].Journal of Harbin Engineering University,2018,39(1):179-186(in Chinese).[邵明晖,吴彪,张路蓬.创新合作伙伴的SVM-TOPSIS优选决策分析[J].哈尔滨工程大学学报,2018,39(1):179-186.]
[26]FENG Bo,FAN Zhiping.A partner selection method for knowledge creation team based on collaborative effect[J].Chinese Journal of Management,2012,9(2):258-261(in Chinese).[冯博,樊治平.基于协同效应的知识创新团队伙伴选择方法[J].管理学报,2012,9(2):258-261.]
[27]SALTON G,LESK M.Computerevaluation of indexing and text processing[M].New York,N.Y.,USA:ACM,1968.
[28]HELLRIEGEL D,SLOCUM J W,WOODMAN R W.Organization behavior[M].9th ed.Natorp Blvd Mason,Ohio,USA:South-Western College Publishing,1998.
[29]YOON K P,HWANG C L.Multiple attribute decision making:an introduction[J].European Journal of Operational Research,1992,4(4):287-288.
[30]LIAO Kaiji,YE Donghai,WU Ming.The model of organizational knowledge sharing network based on knowledge network and social network[J].Studies in Science of Science,2011,29(9):1356-1364(in Chinese).[廖开际,叶东海,吴敏.组织知识共享网络模型研究---基于知识网络和社会网络[J].科学学研究,2011,29(9):1356-1364.]
[31]LI Jia,DENG Xiong,XU Weijun.Research on fuzzy portfolio based on best expected satisfaction level and background risk[J].Mathematics in Practice&Theory,2016,46(15):140-149(in Chinese).[李佳,邓雄,徐维军.基于最大期望满意度与背景风险的模糊投资组合模型研究[J].数学的实践与认识,2016,46(15):140-149.]
[32]SAMADDAR S,KADIYALA S S.An analysis of interorganizational resource sharing decisions in collaborative knowledge creation[J].European Journal of Operational Research,2006,170(1):192-210.
[33]KUO C C,GLOVER F,DHIR K S.Analyzing andmodeling the maximum diversity problem by zero-one programming[J].Decision Sciences,1993,24(6):1171-1185.
[34]JIANG S,ZHANG J,ONG Y,et al.A simple and fast hypervolume indicator-based multiobjective evolutionary algorithm[J],IEEE Transactions on Cybernetics,2017,45(10):2202-2213.
[35]BEUME N,NAUJOKS B,EMMERICH M.Sms-emoa:multiobjective selection based on dominated hypervolume[J].European Journal of Operational Research,2007,181(3):1653-1669.
[36]DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions Evolutionary Computation,2002,6(2):182-197.
[37]LIANG Qiande.Elementary statistics[M].2nd ed.Beijing:Higher Education Press,2004:36-37(in Chinese).[梁前德.基础统计[M].2版.北京:高等教育出版社,2004:36-37.]
[2]ZHENG Gang,ZHU Ling,JIN Jun.Innovation by total synergy:a five-stage model---a case study on Haier group[J].Journal of Industrial Engineering and Engineering Management,2008,22(2):24-30(in Chinese).[郑刚,朱凌,金珺.全面协同创新:一个五阶段全面协同过程模型---基于海尔集团的案例研究[J].管理工程学报,2008,22(2):24-30.]
[3]GASSMANN O,ZESCHKY M,WOLFF T,et al.Crossing theindustry-line:breakthrough innovation through cross-industry alliances with‘non-suppliers’[J].Long Range Planning,2010,43(5):639-654.
[4]DODOUROVA M.Alliances as strategic tools:a cross-industry study of partnership planning formation and success[J].Management Decision,2009,47(5):831-844.
[5]ANTONIADIS D.Complexity and the process of selecting project team members[J].Journal for the Advancement of Performance Information&Value,2012,4(1):1-27.
[6]ZHANG L,ZHANG X.Multi-objective team formation optimization for new product development[J].Computers&Industrial Engineering,2013,64(3):804-811.
[7]YU Jintian,HU Chunhua.Study on partner selection of synergy innovation in technology alliance[J].Scientific Management Research,2015,33(1):13-16(in Chinese).[喻金田,胡春华.技术联盟协同创新的合作伙伴选择研究[J].科学管理研究,2015,33(1):13-16.]
[8]YANG Xuchang,CHEN Youling,LIU Chuanbiao.Method to choose resources under cloud manufacturing[J].Computer Integrated Manufacturing Systems,2018,24(3):711-719(in Chinese).[杨续昌,陈友玲,刘传彪.云制造环境下员工资源选择方法[J].计算机集成制造系统,2018,24(3):711-719.]
[9]SHOU Yongyi,SONG Chunjiang.Optimization of R&D project partner selection for complex product systems[J].Science Research Management,2014,35(10):144-149(in Chinese).[寿涌毅,宋淳江.复杂产品系统研发项目合作伙伴选择优化[J].科研管理,2014,35(10):144-149.]
[10]ZHU Xuechun,CHEN Wanming,YIN Hongxing.Research on collaborative innovation partner selection for enterprises based on principal component projection and CRITIC method[J].Forum on Science and Technology in China,2014,30(11):97-102(in Chinese).[朱雪春,陈万明,殷红幸.企业协同创新伙伴选择研究[J].中国科技论坛,2014,30(11):97-102.]
[11]YUE Ying,WAN Yinghong.Research on dimensions of collaborative innovation with customers---taking knowledge intensive business services as the background[J].Science&Technology Progress and Policy,2016,33(13):106-112(in Chinese).[岳英,万映红.客户协同创新维度及构成实证研究---以知识密集型服务业为例[J].科技进步与对策,2016,33(13):106-112.]
[12]BAUM J,JONARD N.Network-independent partner selection and the evolution of innovation networks[J].Management Science,2010,56(11):2094-2110.
[13]LIU Shuqing,DONG Yawen.Research on the selection model of manufacture partner for the production type of virtual enterprise[J].Chinese Journal of Management Science,2006,14(6):77-85(in Chinese).[刘书庆,董雅文.生产型虚拟企业制造合作伙伴选择模型研究[J].中国管理科学,2006,14(6):77-85.]
[14]KLERKX L,LEEUWIS C.Matching demand and supply in the agricultural knowledge infrastructure:experiences with innovation intermediaries[J].Food Policy,2008,33(3):260-276.
[15]WU Feifei,MI Lan,HUANG Lucheng,et al.Identification and selection of R&D partners based on integrated resource matching model[J].Science&Technology Progress and Policy,2017,34(14):23-29(in Chinese).[吴菲菲,米兰,黄鲁成,等.技术资源匹配视角下研发合作伙伴识别与选择[J].科技进步与对策,2017,34(14):23-29.]
[16]CHEN Youling,YANG Weiqi,LIU Chuanbiao,et al.Personnel assignment method of product design based on knowledge similarity and learning ability[J].Computer Integrated Manufacturing Systems,2017,23(8):1700-1710(in Chinese).[陈友玲,阳玮琦,刘传彪,等.基于知识相似度和学习能力的产品设计人员指派方法[J].计算机集成制造系统,2017,23(8):1700-1710.]
[17]TONG Shiqi,WANG Nuo,DANG Yanzhong.Project partner selection method based on resources complementarity[J].Operations Research and Management Science,2017,26(5):176-183(in Chinese).[佟士祺,王诺,党延忠.基于资源互补的项目伙伴选择方法[J].运筹与管理,2017,26(5):176-183.]
[18]DING X,HUANG R.Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation[J].European Journal of Operational Research,2010,201(3):949-959.
[19]SHEU H,PEI W,CHIEN M,et al.An analytic hierarchy process approach with linguistic variables for selection of an R&D strategic alliance partner[J].Computers&Industrial Engineering,2010,58(2):278-287.
[20]WANG X.Study of team building based on 3Dgame[D].A-mes,Iowa,USA:Iowa State University,2015.
[21]CHEN Juhong,WANG Yinluo,SUN Linyan.Study on the processes and methods of partner selection in virtual organization[J].Systems Engineering-Theory&Practice,2001,21(7):48-53(in Chinese).[陈菊红,汪应洛,孙林岩.虚拟企业伙伴选择过程及方法研究[J].系统工程理论与实践,2001,21(7):48-53.]
[22]FENG Weidong,CHEN Jian,ZHAO Chunjun.Partners selection process and optimization model for virtual corporations based on genetic algorithms[J].Journal of Tsinghua University:Natural Science,2000,40(10):120-124(in Chinese).[冯蔚东,陈剑,赵纯均.基于遗传算法的动态联盟伙伴选择过程及优化模型[J].清华大学学报:自然科学版,2000,40(10):120-124.]
[23]REZA F.Suppliers selection in the presence of both cardinal and ordinal data[J].European Journal of Operational Research,2007,183(2):741-746.
[24]LIU Shuqing,LI Chunhua.The optimal selection of collaborative innovational participants combination model based on improved TOPSIS[J].Industrial Engineering and Management,2016,21(5):1-8(in Chinese).[刘书庆,李春花.基于改进型TOPSIS的协同创新参与主体组合模式优选模型研究[J].工业工程与管理,2016,21(5):1-8.]
[25]SHAO Minghui,WU Biao,ZHANG Lupeng.The optimization decision-making analysis for partners in innovation based on SVM-TOPSIS[J].Journal of Harbin Engineering University,2018,39(1):179-186(in Chinese).[邵明晖,吴彪,张路蓬.创新合作伙伴的SVM-TOPSIS优选决策分析[J].哈尔滨工程大学学报,2018,39(1):179-186.]
[26]FENG Bo,FAN Zhiping.A partner selection method for knowledge creation team based on collaborative effect[J].Chinese Journal of Management,2012,9(2):258-261(in Chinese).[冯博,樊治平.基于协同效应的知识创新团队伙伴选择方法[J].管理学报,2012,9(2):258-261.]
[27]SALTON G,LESK M.Computerevaluation of indexing and text processing[M].New York,N.Y.,USA:ACM,1968.
[28]HELLRIEGEL D,SLOCUM J W,WOODMAN R W.Organization behavior[M].9th ed.Natorp Blvd Mason,Ohio,USA:South-Western College Publishing,1998.
[29]YOON K P,HWANG C L.Multiple attribute decision making:an introduction[J].European Journal of Operational Research,1992,4(4):287-288.
[30]LIAO Kaiji,YE Donghai,WU Ming.The model of organizational knowledge sharing network based on knowledge network and social network[J].Studies in Science of Science,2011,29(9):1356-1364(in Chinese).[廖开际,叶东海,吴敏.组织知识共享网络模型研究---基于知识网络和社会网络[J].科学学研究,2011,29(9):1356-1364.]
[31]LI Jia,DENG Xiong,XU Weijun.Research on fuzzy portfolio based on best expected satisfaction level and background risk[J].Mathematics in Practice&Theory,2016,46(15):140-149(in Chinese).[李佳,邓雄,徐维军.基于最大期望满意度与背景风险的模糊投资组合模型研究[J].数学的实践与认识,2016,46(15):140-149.]
[32]SAMADDAR S,KADIYALA S S.An analysis of interorganizational resource sharing decisions in collaborative knowledge creation[J].European Journal of Operational Research,2006,170(1):192-210.
[33]KUO C C,GLOVER F,DHIR K S.Analyzing andmodeling the maximum diversity problem by zero-one programming[J].Decision Sciences,1993,24(6):1171-1185.
[34]JIANG S,ZHANG J,ONG Y,et al.A simple and fast hypervolume indicator-based multiobjective evolutionary algorithm[J],IEEE Transactions on Cybernetics,2017,45(10):2202-2213.
[35]BEUME N,NAUJOKS B,EMMERICH M.Sms-emoa:multiobjective selection based on dominated hypervolume[J].European Journal of Operational Research,2007,181(3):1653-1669.
[36]DEB K,PRATAP A,AGARWAL S,et al.A fast and elitist multiobjective genetic algorithm:NSGA-Ⅱ[J].IEEE Transactions Evolutionary Computation,2002,6(2):182-197.
[37]LIANG Qiande.Elementary statistics[M].2nd ed.Beijing:Higher Education Press,2004:36-37(in Chinese).[梁前德.基础统计[M].2版.北京:高等教育出版社,2004:36-37.]