知识网络视角下产学研协同创新任务管理研究述评
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摘要
[目的/意义]产学研协同创新是当前学界的研究热点,国内外相关研究成果亦层出不穷,但因缺乏对任务进行有效管理,导致科研成果的现实价值与国家政策预期差距较大。[方法/过程]为全面了解产学研协同创新任务管理研究现状并把握其未来研究动态,在知识网络视角下,运用文献计量方法分别对任务分解、任务分配、任务协调三个层次的相关研究成果进行了系统梳理与归纳,针对当前研究的不足对未来研究方向进行了展望。[结果/结论]以期不断丰富产学研协同创新理论体系,提升产学研协同创新质效,共建创新性国家。
[Purpose/Significance]Industry-university-research collaborative innovation is the current hot topic in academia,relevant research results are also emerging,but the lack of effective management of the mission results in a greater gap between scientific research practical value and the expected object of national policy. [Method/Process]To fully understand the current research situation of industry-university-research collaborative innovation and grasp future research trends,under the knowledge network perspective,we use the literature metrology methods to systematically summarize the research achievement of task decomposition,task allocation,task coordination at three levels respectively and suggest the lack of current research and future research directions. [Result/Conclusion]The study aims to continuously enrich theoretical system,improve the quality and efficiency of industry- university- research collaborative innovation and build an innovative country jointly.
[Purpose/Significance]Industry-university-research collaborative innovation is the current hot topic in academia,relevant research results are also emerging,but the lack of effective management of the mission results in a greater gap between scientific research practical value and the expected object of national policy. [Method/Process]To fully understand the current research situation of industry-university-research collaborative innovation and grasp future research trends,under the knowledge network perspective,we use the literature metrology methods to systematically summarize the research achievement of task decomposition,task allocation,task coordination at three levels respectively and suggest the lack of current research and future research directions. [Result/Conclusion]The study aims to continuously enrich theoretical system,improve the quality and efficiency of industry- university- research collaborative innovation and build an innovative country jointly.
引文
[1]李雪婷,顾新.产学研协同创新的文化冲突研究[J].科学管理研究,2013(1):5-8.
[2]张力.产学研协同创新的战略意义和政策走向[J].教育研究,2011(7):18-21.
[3]高霞.我国产学研协同创新的研究脉络与现状评述[J].科学管理研究,2014(5):9-11.
[4]何郁冰.产学研协同创新的理论模式[J].科学学研究,2012(2):165-174.
[5]陈劲,阳银娟.协同创新的理论基础与内涵[J].科学学研究,2012(2):161-164.
[6]刘到丹,闫长乐.协同创新网络结构与机理研究[J].管理世界,2013(12):1-4.
[7]叶伟巍,梅亮,李文,等.协同创新的动态机制与激励政策——基于复杂系统理论视角[J].管理世界,2014(6):79-91.
[8]王章豹,韩依洲,洪天求.产学研协同创新组织模式及其优劣势分析[J].科技进步与对策,2015(2):24-29.
[9]肖增良,乐晓波,周辉.基于与或依赖图的多Agent系统任务分解算法[J].计算机工程与设计,2009(2):426-428.
[10]林仁,周国华.任务分解控制及人员柔性的车间集成调度[J].计算机工程与应用,2015(4):11-16,104.
[11]Yang Y.Task Decomposition and grouping for customer collaboration in product development:journal of intelligent systems[J].Infection&Immunity,2015,81(11):166-170.
[12]Klas O.Some principles for libraries of task decomposition methods[J].International Journal of Human-Computer Studies,1998,49(4):417-435.
[13]Yang W B,Zhang,et al.Ontology-basedmulti-perspective task decomposition to support composite manufacturing service discovery[J].International Journal of Digital Content Technology&Its Applications,2011,5(7):290-296.
[14]Stone P,Veloso M.Task decomposition,dynamic role assignment,and low-bandw idth communication for real-time strategic teamw ork[J].Artificial Intelligence,1999,110(2):241-273.
[15]Jiang H,Matsubara S.Efficient task decomposition in crow dsourcing[M]//PRIM A 2014:Principles and Practice of M ulti-Agent Systems.Springer International Publishing,2014:65-73.
[16]庞辉,方宗德.网络化协作任务分解策略与粒度设计[J].计算机集成制造系统,2008(3):425-430.
[17]杨育,李云云,李斐,等.产品协同创新设计任务分解及资源分配[J].重庆大学学报,2014(1):31-38.
[18]包北方,杨育,李斐,等.产品定制协同开发任务分解模型[J].计算机集成制造系统,2014(7):1537-1545.
[19]祝华平.基于知识推理的协同任务分解的研究[D].西安:陕西师范大学,2014.
[20]Jia P,Gao Q,Ji X,et al.Task decomposition method of R&D project based on product structure tree[J].Journal of Softw are,2014,9(7):1894-1902.
[21]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(8):2201-2212.
[22]Zhang X,Yang Y,Bao B.Task decomposition and grouping for customer collaboration in product development[J].Journal of Intelligent Systems,2015,25(3):361-375.
[23]Yu L,Jiang Z,Kang L.Research on task decomposition and state abstraction in reinforcement learning[J].Artificial Intelligence Review,2008,38(2):136-141.
[24]高斐,邱雪松,高志鹏,等.基于多代理协作的IT复杂应用管理任务分解算法[J].软件学报,2011,22(9):2049-2058.
[25]Gerasoulis A,Yang T.On the granularity and clustering of directed acyclic task graphs[J].IEEE Transactions on Parallel&Distributed Systems,1993,4(6):686-701.
[26]董升平,胡斌,张金隆.基于成员-任务互动的团队有效性多智能体模拟[J].中国管理科学,2008(5):171-181.
[27]庞辉,方宗德,郭辉,等.面向协同设计的任务调度问题研究[J].系统工程与电子技术,2008(10):1899-1903.
[28]景熠,王旭,李文川.供应商参与产品协同开发的任务分配优化[J].中国机械工程,2011(21):2566-2571.
[29]Wei H L,Isa N A M.Particle swarm optimization with dual-level task allocation[J].Engineering Applications of Artificial Intelligence,2015(38):88-110.
[30]琚春华,陈庭贵.基于能力评价与利益驱动的扩展蚁群劳动分工模型及在动态任务分配中的应用[J].系统工程理论与实践,2014(1):84-93.
[31]包北方,杨育,李雷霆,等.产品定制协同开发任务分配多目标优化[J].计算机集成制造系统,2014(4):739-746.
[32]Smet P,Ernst A T,Berghe G V.Heuristic decomposition approaches for an integrated task scheduling and personnel rostering problem[J].Computers&Operations Research,2016(76):60-72.
[33]Pang N,Liu H,Huang S,et al.Emergency rush repair task scheduling of distribution netw orks in large-scale blackouts[J].International Journal of Electrical Pow er&Energy Systems,2016(82):373-381.
[34]王庆,黄慧霞,刘敏.基于一种改进蚁群算法的知识员工任务指派及调度研究[J].管理评论,2013(10):50-58.
[35]Zhang D,Xie G,Yu J,et al.Adaptive task assignment for multiple mobile robots via sw arm intelligence approach[J].Robotics&Autonomous Systems,2007,55(7):572-588.
[36]吕炎杰,赵罡,于勇.基于模糊集理论和知识相似度的复杂产品设计任务分配方法[J].计算机集成制造系统,2015(4):904-913.
[37]Vega W F D L,Lamari M.The task allocation problem with constant communication[J].Discrete Applied M athematics,2003,131(1):169-177.
[38]贺毅辉,潘明聪,徐伟,等.基于概率推理的不确定性任务分配评价方法[J].计算机工程,2015(2):31-35.
[39]Okhuysen G A,Bechky B A.Coordination in organizations:An integrative perspective[J]Academy of M anagement Annals.2009,3(1):463-502.
[40]Arrow H,Mc Grath J E,Berdahl J L.Small groups as complex system[M].California:Sage,2000.
[41]Faraj S,Xiao Y.Coordination in fast-response organizations[J].M anagement Science,2006,52(8):1155-1189.
[42]张子源,赵曙明,周路路,等.内隐协调对团队创造力的影响研究——任务特征的调节作用[J].科学学与科学技术管理,2014(1):173-180.
[43]Coutinho C,Cretan A,Silva C F D,et al.Service-based negotiation for advanced collaboration in enterprise netw orks[J].Journal of Intelligent M anufacturing,2014,27(1):201-216.
[44]周家贵,井润田,刘谋权.协调策略与团队绩效:基于科研团队的案例研究[J].研究与发展管理,2013,25(1):62-72.
[45]宁方华,陈子辰,熊励,等.协同物流网络的任务协调决策模型及其求解算法[J].控制与决策,2007(1):109-112.
[46]杜健.应急管理中的多主体协调决策研究[D].大连:大连理工大学,2010.
[47]邢青松,杨育,刘爱军,等.考虑突发事故的产品协同设计任务协调效率[J].系统工程理论与实践,2014(4):1043-1051.
[48]Su J,Yin Y,Nie Q.An empirical analysis on a coordinate model of Chinese economic grow th and carbon-emission reduction[J].Computer Systems&Applications,2014(61):1065-1072.
[49]Mahesh M,Ong S K,Nee A Y C.Communication and coordination in multi-agent manufacturing systems[J].International Journal of M anufacturing Research,2006,1(1):59-82.
[50]Boos M,Kolbe M,Strack M.An inclusive model of group coordination[M].Coordination in Human and Primate Groups,2014:11-35.
[51]徐安,赵思宏,寇英信,等.协同空战中基于任务分解的任务协调机制研究[J].电光与控制,2010(2):21-25,34.
[52]徐选华,周声海,汪业凤,等.非常规突发事件应急决策冲突消解协调方法[J].控制与决策,2013(8):1138-1144.
[53]周超,王红卫,祁超.基于层次任务网络的应急资源协作规划方法[J].系统工程理论与实践,2015(10):2504-2512.
[54]顾文斌,唐敦兵,郑堃.基于内分泌调节原理的制造任务与资源动态协调机制研究[J].中国机械工程,2015(11):1471-1477.
[55]黄磊.基于GPGP机制的物联网任务协调机制研究[D].沈阳:辽宁大学,2012.
[56]张钢,岑杰.知识型团队时间协调机制及其对效能的影响研究[J].科研管理,2015,36(6):145-156.
[57]杜玉申,张金玉,张美美.权力结构、任务依赖与供应链协调机制[J].工业技术经济,2012(8):73-77.
[58]Liu A,Pfund M,Fowler J.Scheduling optimization of task allocation in integrated manufacturing system based on task decomposition[J].Journal of Systems Engineering&Electronics,2016,27(2):422-433.
[2]张力.产学研协同创新的战略意义和政策走向[J].教育研究,2011(7):18-21.
[3]高霞.我国产学研协同创新的研究脉络与现状评述[J].科学管理研究,2014(5):9-11.
[4]何郁冰.产学研协同创新的理论模式[J].科学学研究,2012(2):165-174.
[5]陈劲,阳银娟.协同创新的理论基础与内涵[J].科学学研究,2012(2):161-164.
[6]刘到丹,闫长乐.协同创新网络结构与机理研究[J].管理世界,2013(12):1-4.
[7]叶伟巍,梅亮,李文,等.协同创新的动态机制与激励政策——基于复杂系统理论视角[J].管理世界,2014(6):79-91.
[8]王章豹,韩依洲,洪天求.产学研协同创新组织模式及其优劣势分析[J].科技进步与对策,2015(2):24-29.
[9]肖增良,乐晓波,周辉.基于与或依赖图的多Agent系统任务分解算法[J].计算机工程与设计,2009(2):426-428.
[10]林仁,周国华.任务分解控制及人员柔性的车间集成调度[J].计算机工程与应用,2015(4):11-16,104.
[11]Yang Y.Task Decomposition and grouping for customer collaboration in product development:journal of intelligent systems[J].Infection&Immunity,2015,81(11):166-170.
[12]Klas O.Some principles for libraries of task decomposition methods[J].International Journal of Human-Computer Studies,1998,49(4):417-435.
[13]Yang W B,Zhang,et al.Ontology-basedmulti-perspective task decomposition to support composite manufacturing service discovery[J].International Journal of Digital Content Technology&Its Applications,2011,5(7):290-296.
[14]Stone P,Veloso M.Task decomposition,dynamic role assignment,and low-bandw idth communication for real-time strategic teamw ork[J].Artificial Intelligence,1999,110(2):241-273.
[15]Jiang H,Matsubara S.Efficient task decomposition in crow dsourcing[M]//PRIM A 2014:Principles and Practice of M ulti-Agent Systems.Springer International Publishing,2014:65-73.
[16]庞辉,方宗德.网络化协作任务分解策略与粒度设计[J].计算机集成制造系统,2008(3):425-430.
[17]杨育,李云云,李斐,等.产品协同创新设计任务分解及资源分配[J].重庆大学学报,2014(1):31-38.
[18]包北方,杨育,李斐,等.产品定制协同开发任务分解模型[J].计算机集成制造系统,2014(7):1537-1545.
[19]祝华平.基于知识推理的协同任务分解的研究[D].西安:陕西师范大学,2014.
[20]Jia P,Gao Q,Ji X,et al.Task decomposition method of R&D project based on product structure tree[J].Journal of Softw are,2014,9(7):1894-1902.
[21]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(8):2201-2212.
[22]Zhang X,Yang Y,Bao B.Task decomposition and grouping for customer collaboration in product development[J].Journal of Intelligent Systems,2015,25(3):361-375.
[23]Yu L,Jiang Z,Kang L.Research on task decomposition and state abstraction in reinforcement learning[J].Artificial Intelligence Review,2008,38(2):136-141.
[24]高斐,邱雪松,高志鹏,等.基于多代理协作的IT复杂应用管理任务分解算法[J].软件学报,2011,22(9):2049-2058.
[25]Gerasoulis A,Yang T.On the granularity and clustering of directed acyclic task graphs[J].IEEE Transactions on Parallel&Distributed Systems,1993,4(6):686-701.
[26]董升平,胡斌,张金隆.基于成员-任务互动的团队有效性多智能体模拟[J].中国管理科学,2008(5):171-181.
[27]庞辉,方宗德,郭辉,等.面向协同设计的任务调度问题研究[J].系统工程与电子技术,2008(10):1899-1903.
[28]景熠,王旭,李文川.供应商参与产品协同开发的任务分配优化[J].中国机械工程,2011(21):2566-2571.
[29]Wei H L,Isa N A M.Particle swarm optimization with dual-level task allocation[J].Engineering Applications of Artificial Intelligence,2015(38):88-110.
[30]琚春华,陈庭贵.基于能力评价与利益驱动的扩展蚁群劳动分工模型及在动态任务分配中的应用[J].系统工程理论与实践,2014(1):84-93.
[31]包北方,杨育,李雷霆,等.产品定制协同开发任务分配多目标优化[J].计算机集成制造系统,2014(4):739-746.
[32]Smet P,Ernst A T,Berghe G V.Heuristic decomposition approaches for an integrated task scheduling and personnel rostering problem[J].Computers&Operations Research,2016(76):60-72.
[33]Pang N,Liu H,Huang S,et al.Emergency rush repair task scheduling of distribution netw orks in large-scale blackouts[J].International Journal of Electrical Pow er&Energy Systems,2016(82):373-381.
[34]王庆,黄慧霞,刘敏.基于一种改进蚁群算法的知识员工任务指派及调度研究[J].管理评论,2013(10):50-58.
[35]Zhang D,Xie G,Yu J,et al.Adaptive task assignment for multiple mobile robots via sw arm intelligence approach[J].Robotics&Autonomous Systems,2007,55(7):572-588.
[36]吕炎杰,赵罡,于勇.基于模糊集理论和知识相似度的复杂产品设计任务分配方法[J].计算机集成制造系统,2015(4):904-913.
[37]Vega W F D L,Lamari M.The task allocation problem with constant communication[J].Discrete Applied M athematics,2003,131(1):169-177.
[38]贺毅辉,潘明聪,徐伟,等.基于概率推理的不确定性任务分配评价方法[J].计算机工程,2015(2):31-35.
[39]Okhuysen G A,Bechky B A.Coordination in organizations:An integrative perspective[J]Academy of M anagement Annals.2009,3(1):463-502.
[40]Arrow H,Mc Grath J E,Berdahl J L.Small groups as complex system[M].California:Sage,2000.
[41]Faraj S,Xiao Y.Coordination in fast-response organizations[J].M anagement Science,2006,52(8):1155-1189.
[42]张子源,赵曙明,周路路,等.内隐协调对团队创造力的影响研究——任务特征的调节作用[J].科学学与科学技术管理,2014(1):173-180.
[43]Coutinho C,Cretan A,Silva C F D,et al.Service-based negotiation for advanced collaboration in enterprise netw orks[J].Journal of Intelligent M anufacturing,2014,27(1):201-216.
[44]周家贵,井润田,刘谋权.协调策略与团队绩效:基于科研团队的案例研究[J].研究与发展管理,2013,25(1):62-72.
[45]宁方华,陈子辰,熊励,等.协同物流网络的任务协调决策模型及其求解算法[J].控制与决策,2007(1):109-112.
[46]杜健.应急管理中的多主体协调决策研究[D].大连:大连理工大学,2010.
[47]邢青松,杨育,刘爱军,等.考虑突发事故的产品协同设计任务协调效率[J].系统工程理论与实践,2014(4):1043-1051.
[48]Su J,Yin Y,Nie Q.An empirical analysis on a coordinate model of Chinese economic grow th and carbon-emission reduction[J].Computer Systems&Applications,2014(61):1065-1072.
[49]Mahesh M,Ong S K,Nee A Y C.Communication and coordination in multi-agent manufacturing systems[J].International Journal of M anufacturing Research,2006,1(1):59-82.
[50]Boos M,Kolbe M,Strack M.An inclusive model of group coordination[M].Coordination in Human and Primate Groups,2014:11-35.
[51]徐安,赵思宏,寇英信,等.协同空战中基于任务分解的任务协调机制研究[J].电光与控制,2010(2):21-25,34.
[52]徐选华,周声海,汪业凤,等.非常规突发事件应急决策冲突消解协调方法[J].控制与决策,2013(8):1138-1144.
[53]周超,王红卫,祁超.基于层次任务网络的应急资源协作规划方法[J].系统工程理论与实践,2015(10):2504-2512.
[54]顾文斌,唐敦兵,郑堃.基于内分泌调节原理的制造任务与资源动态协调机制研究[J].中国机械工程,2015(11):1471-1477.
[55]黄磊.基于GPGP机制的物联网任务协调机制研究[D].沈阳:辽宁大学,2012.
[56]张钢,岑杰.知识型团队时间协调机制及其对效能的影响研究[J].科研管理,2015,36(6):145-156.
[57]杜玉申,张金玉,张美美.权力结构、任务依赖与供应链协调机制[J].工业技术经济,2012(8):73-77.
[58]Liu A,Pfund M,Fowler J.Scheduling optimization of task allocation in integrated manufacturing system based on task decomposition[J].Journal of Systems Engineering&Electronics,2016,27(2):422-433.
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