The high-end equipment intelligent manufacturing(HEIM) industry is of strategic importance to national and economic security. Engineering management(EM) for HEIM is a complex, innovative process that integrates natura...The high-end equipment intelligent manufacturing(HEIM) industry is of strategic importance to national and economic security. Engineering management(EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. Newgeneration information technology(IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem.Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories,quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.展开更多
伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新...伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新资源、创新能力、创新环境、声誉与信任及技术水平这7个维度,建立了高端装备制造业协同创新伙伴选择指标体系;然后,考虑到高端装备制造业的复杂性及专家评价的模糊性,在概率犹豫模糊环境下,构建基于可能度的平均解距离法(evaluation based on distance from average solution,EDAS)群决策评价模型,并将其应用到该指标体系下的协同创新伙伴选择中;最后,通过一个算例,对该研究方法加以验证,为高端装备制造业进行协同创新伙伴选择提供一定的参考。展开更多
基金funded by the National Natural Science Foundation of China(Grant Nos.71690230,71690231,71690232,71690233,71690234,and 71690235)supported by Innovative Research Groups of the National Natural Science Foundation of China(Grant No.71521001)
文摘The high-end equipment intelligent manufacturing(HEIM) industry is of strategic importance to national and economic security. Engineering management(EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. Newgeneration information technology(IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem.Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories,quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.
文摘伴随市场环境的复杂多变,高端装备制造业必须通过协同创新来增强技术实力及提高创新成效,其中伙伴选择是其实现创新的关键一步。首先,分析总结伙伴选择评价指标相关文献,并结合高端装备制造业协同创新发展需求,从互补性、兼容性、创新资源、创新能力、创新环境、声誉与信任及技术水平这7个维度,建立了高端装备制造业协同创新伙伴选择指标体系;然后,考虑到高端装备制造业的复杂性及专家评价的模糊性,在概率犹豫模糊环境下,构建基于可能度的平均解距离法(evaluation based on distance from average solution,EDAS)群决策评价模型,并将其应用到该指标体系下的协同创新伙伴选择中;最后,通过一个算例,对该研究方法加以验证,为高端装备制造业进行协同创新伙伴选择提供一定的参考。
