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学者姓名：唐孝文
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Abstract ：
基于2011—2018年中国高端装备制造业数据,结合"VHSD-EM"综合动态评价模型对七个高端装备制造业子行业进行技术创新能力的测度分析。结果表明:(1)时间演变维度上,各子行业技术创新能力变化幅度存在差异,但分化程度呈现一定程度的缩小趋势。(2)行业分布维度上,各子行业技术创新能力分化明显,且在分布上具有集聚效应。(3)影响因素分析中,运用混合回归模型,实证检验了技术进步和产业特征对技术创新能力的正向影响。本文基于以上分析结果对我国高端装备制造业技术创新能力的提升提供了相关政策建议。
Keyword ：
高端装备制造业 高端装备制造业 评价体系 评价体系 “VHSD-EM”模型 “VHSD-EM”模型 技术创新能力 技术创新能力
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| GB/T 7714 | 唐孝文 , 孙悦 , 唐晓彬 . 中国高端装备制造业技术创新能力评价研究 [J]. | 科研管理 , 2021 , 42 (09) : 1-9 . |
| MLA | 唐孝文 等. "中国高端装备制造业技术创新能力评价研究" . | 科研管理 42 . 09 (2021) : 1-9 . |
| APA | 唐孝文 , 孙悦 , 唐晓彬 . 中国高端装备制造业技术创新能力评价研究 . | 科研管理 , 2021 , 42 (09) , 1-9 . |
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Abstract ：
随着经济的快速发展,人民日益增长的美好生活需要与能源供求之间的矛盾也愈加显著.电力产业作为能源消耗大户,对其进行合理有效地利用是非常重要的.本文基于规模收益可变假设下的、产出导向的两阶段DEA方法,对我国其中31个省(直辖市、自治区)2016年电力能源利用效率进行评估.其中,第一阶段是电力生产阶段(Electricity Production,EP),第二阶段为电力供应阶段(Electricity Supply,ES).实验结果表明,两阶段DEA方法比传统的BCC方法更能有效地辨别有效决策单元且有更高的排序参考价值.在两阶段过程中,北京、上海、江苏、广东和西藏5个地区表现为DEA有效的,且提高...
Keyword ：
能源利用 能源利用 两阶段DEA 两阶段DEA 效率 效率 电力 电力
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| GB/T 7714 | 王婵 , 邹斌 , 金茜 et al. 基于两阶段DEA方法的中国省际电力能源利用效率评估 [J]. | 数学的实践与认识 , 2020 , 50 (02) : 150-161 . |
| MLA | 王婵 et al. "基于两阶段DEA方法的中国省际电力能源利用效率评估" . | 数学的实践与认识 50 . 02 (2020) : 150-161 . |
| APA | 王婵 , 邹斌 , 金茜 , 唐孝文 , 谢启伟 , 陈维国 . 基于两阶段DEA方法的中国省际电力能源利用效率评估 . | 数学的实践与认识 , 2020 , 50 (02) , 150-161 . |
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Abstract ：
基于2013—2018年中国省域数据,结合了"VHSD-EM"模型对中国经济高质量发展展开时空测度与驱动因素分析。结果表明:时间维度下,全国半数以上省份的经济高质量发展水平在波动上升;东、中部地区的经济高质量发展呈周期性特征,西部地区则呈缓慢爬坡态势且改善最为明显。空间维度下,省域间经济高质量发展呈现一定的空间集聚性,并且空间差异呈缩小态势;区域之间呈现"东部地区>中部地区>西部地区"的分化格局。此外,所考察的六维度中,对外开放水平、协调发展水平和创新驱动水平对省域差异的贡献率在下降,而经济稳定发展、生态环境水平和社会发展水平的贡献率在扩大;科技要素、劳动力要素以及财政支出水平在很大程度上影响...
Keyword ：
“VHSD-EM”模型 “VHSD-EM”模型 省域经济 省域经济 经济高质量发展 经济高质量发展 评价体系 评价体系
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| GB/T 7714 | 唐晓彬 , 王亚男 , 唐孝文 . 中国省域经济高质量发展评价研究 [J]. | 科研管理 , 2020 , 41 (11) : 44-55 . |
| MLA | 唐晓彬 et al. "中国省域经济高质量发展评价研究" . | 科研管理 41 . 11 (2020) : 44-55 . |
| APA | 唐晓彬 , 王亚男 , 唐孝文 . 中国省域经济高质量发展评价研究 . | 科研管理 , 2020 , 41 (11) , 44-55 . |
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Abstract ：
An assembly line is an industrial arrangement of machines, equipments and operators for continuous flow of work-pieces in mass-production operations. Recently, the reliability of assembly production has been investigated by taking into account task time uncertainties. This paper provides a new reliability metric which encompasses two types of task time uncertainties. A multi-objective mathematical model was developed to maximize the reliability and efficiency of assembly lines. Neighborhood search methods with two restart mechanisms are devised to solve the model and they are compared in a numerical study. Further, the results show some managerial implications for the production planners. The methodology proposed in this research can be applied to many industries when some historical data of uncertain inputs are available and some are not.
Keyword ：
Uncertain task times Uncertain task times Belief reliability Belief reliability Neighborhood search Neighborhood search Assembly line balancing Assembly line balancing
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| GB/T 7714 | Li, Yuchen , Peng, Rui , Kucukkoc, Ibrahim et al. System reliability optimization for an assembly line under uncertain random environment [J]. | COMPUTERS & INDUSTRIAL ENGINEERING , 2020 , 146 . |
| MLA | Li, Yuchen et al. "System reliability optimization for an assembly line under uncertain random environment" . | COMPUTERS & INDUSTRIAL ENGINEERING 146 (2020) . |
| APA | Li, Yuchen , Peng, Rui , Kucukkoc, Ibrahim , Tang, Xiaowen , Wei, Fang . System reliability optimization for an assembly line under uncertain random environment . | COMPUTERS & INDUSTRIAL ENGINEERING , 2020 , 146 . |
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Abstract ：
An assembly line is a serial production system that is meant to produce high-quality and usually complex products in mass quantities. Assembly lines play a crucial role in determining the profitability of a company, as they are utilised as the final stage of the system prior to shipping. In an assembly line balancing problem, the assembly tasks are allocated to workstations based on their processing times after considering the precedence relationships between them. There is a massive amount of research in the literature using deterministic task processing times, and many other works consider stochastic task times. This research utilises the uncertainty theory to model uncertain task times and considers incompatible task sets constraints. The problem is solved using a simulated annealing algorithm with problem-specific characteristics. Lower bounds are developed to accelerate the simulated annealing algorithm. A restart mechanism, which can escape the local optimum obtained by neighbourhood generation, is proposed. A repair mechanism is integrated to combine the workstations so as to further improve the quality of solutions. The numerical examples and experimental tests demonstrate the powerful solution-building capacity of the proposed simulated annealing algorithm over teaching-learning-based and genetic algorithms. The methodology proposed in this research is applicable to any industry (including the automotive industry) when the historical data on task processing times is very limited.
Keyword ：
incompatible task sets incompatible task sets simulated annealing simulated annealing metaheuristics metaheuristics uncertainty theory uncertainty theory two-sided assembly line balancing two-sided assembly line balancing
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| GB/T 7714 | Li, Yuchen , Kucukkoc, Ibrahim , Tang, Xiaowen . Two-sided assembly line balancing that considers uncertain task time attributes and incompatible task sets [J]. | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2020 , 59 (6) : 1736-1756 . |
| MLA | Li, Yuchen et al. "Two-sided assembly line balancing that considers uncertain task time attributes and incompatible task sets" . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 59 . 6 (2020) : 1736-1756 . |
| APA | Li, Yuchen , Kucukkoc, Ibrahim , Tang, Xiaowen . Two-sided assembly line balancing that considers uncertain task time attributes and incompatible task sets . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2020 , 59 (6) , 1736-1756 . |
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Abstract ：
With the increasingly severe global environment and climate change, the growing social attention toward the environmental problems has prompted local governments to make policy adjustments. The formulation of the carbon emission right allocation scheme is important for policy-makers. Many researchers have studied the problem of carbon emission right allocation by using data envelopment analysis (DEA) models. However, the existing literature using traditional models consider each Decision-Making Unit (DMU) as a "black box" without taking the internal structure into account, but in fact, it is more accurate for formulating the scheme when considering the inner operation of DMUs. This paper investigates the allocation plan of carbon emission right among each province in China from 2007-2016 based on a two-stage DEA model. The results indicate that, first, there is no space for carbon emission in the north, northeast, and northwest from 2007-2016, while in the southern regions, it always exists. In addition, the carbon emission permits of the southern and eastern regions are increasing, but in the southwestern regions, the carbon emission space barely fluctuated during this decade. Second, the potential of carbon emission reduction of each region tends to be stable after 2014, and in the north and northwest, it fluctuated greatly from 2007-2016. Besides, the northwest region has had the potential of emission reduction since 2010, while it also exists in the northern region after 2014.
Keyword ：
two-stage network two-stage network carbon emission allocation carbon emission allocation data envelopment analysis data envelopment analysis
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| GB/T 7714 | Jin, Xi , Zou, Bin , Wang, Chan et al. Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures [J]. | SUSTAINABILITY , 2019 , 11 (5) . |
| MLA | Jin, Xi et al. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures" . | SUSTAINABILITY 11 . 5 (2019) . |
| APA | Jin, Xi , Zou, Bin , Wang, Chan , Rao, Kaifeng , Tang, Xiaowen . Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures . | SUSTAINABILITY , 2019 , 11 (5) . |
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Abstract ：
挖掘特定产品的需求模式无法从整体掌握该类产品的市场特征;短生命周期体验品因缺乏历史销售数据,并且销售总量波动性极大,尤其需要从整体掌握销售总量与产品属性间关系的需求特征规律,但又难以挖掘,亟待提出适用于该类产品的需求特征模式挖掘方法.基于按销售总量分区后各区的需求特征的规律性,提出了一种按销售总量分区、以已有产品介绍集和销售总量为源信息、适用于新产品开发前使用、融合内容分析和关联分析的短生命周期体验品需求特征模式挖掘方法.该方法包括基于内容分析法的产品属性挖掘方法和基于关联分析的产品属性关系模式挖掘方法.前者可以得到较全面的产品属性;后者能够构建不同销售总量区间内产品集的属性关系模式,得到各区间的产品属性关系网,获得高销售总量区间具备,但中、低区间不具备的属性关系模式,从而获得需求特征模式.通过不断更新产品介绍集和销售总量并迭代挖掘,该方法能够动态挖掘需求特征模式.最后利用2013至2016年国产犯罪和爱情类电影数据验证了该方法的可行性,并得到了这两类电影的产品属性及近年的需求特征模式,可用于指导这两类电影的创作.
Keyword ：
电影需求 电影需求 关联分析 关联分析 需求特征模式 需求特征模式 内容分析 内容分析 短生命周期体验品 短生命周期体验品
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| GB/T 7714 | 唐中君 , 崔骏夫 , 唐孝文 et al. 融合内容分析和关联分析的短生命周期体验品需求特征模式挖掘方法研究 [J]. | 中国管理科学 , 2019 , 27 (11) : 166-175 . |
| MLA | 唐中君 et al. "融合内容分析和关联分析的短生命周期体验品需求特征模式挖掘方法研究" . | 中国管理科学 27 . 11 (2019) : 166-175 . |
| APA | 唐中君 , 崔骏夫 , 唐孝文 , 朱慧珂 . 融合内容分析和关联分析的短生命周期体验品需求特征模式挖掘方法研究 . | 中国管理科学 , 2019 , 27 (11) , 166-175 . |
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Abstract ：
基于低碳经济视角采用改进的柯布-道格拉斯生产函数分析北京现代制造业创新能力影响因素。研究结果显示,北京现代制造业近年来稳定发展,创新能力不断提升,科研经费和科技人才投入是北京现代制造业创新能力的关键影响因素,能源投入和二氧化氮排放量对于北京现代制造业创新能力有明显的负面影响。为此,提高北京现代制造业创新能力需要加大科研经费和科技人才投入;注重低碳发展,大力发展节能技术,降低能源消耗强度;优化北京现代制造业产业结构,利用信息技术改造现代制造业。
Keyword ：
影响因素 影响因素 创新能力 创新能力 现代制造业 现代制造业 低碳经济 低碳经济
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| GB/T 7714 | 唐孝文 , 相楠 , 李雨辰 . 低碳经济下北京现代制造业创新能力影响因素研究 [J]. | 科研管理 , 2019 , 40 (07) : 87-96 . |
| MLA | 唐孝文 et al. "低碳经济下北京现代制造业创新能力影响因素研究" . | 科研管理 40 . 07 (2019) : 87-96 . |
| APA | 唐孝文 , 相楠 , 李雨辰 . 低碳经济下北京现代制造业创新能力影响因素研究 . | 科研管理 , 2019 , 40 (07) , 87-96 . |
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Abstract ：
数据包络分析已经被广泛应用于研究中国各省市的能源与环境效率.在以前研究文献中,模拟弱可处置性建模时,隐含的假设所有决策单元采用统一均匀的减少系数.但是在实际生产过程中,面对边际减排成本最低的决策单元,减少非期望产出,也通常会带来成本效益,而且决策者也往往更倾向于减少那些带来成本效益更低的决策单元.因此,为解决这一实际问题,引进不同决策单元的非期望产出采用非均匀比例减少的基础上,考虑非能源投入和能源投入的划分,来构建评估中国各个省市能源和环境效率的生产可能集,然后利用改善的DEA模型计算2016年中国其中30个省市的能源与环境效率.结果表明,我国不同区域,相同区域不同省市之间的能源与环境效率都存...
Keyword ：
非均匀比例减少 非均匀比例减少 能源与环境效率 能源与环境效率 数据包络分析 数据包络分析 弱可处置性 弱可处置性
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| GB/T 7714 | 邹炎平 , 于瑛英 , 唐孝文 et al. 基于DEA模型的中国区域能源与环境效率评估 [J]. | 数学的实践与认识 , 2019 , 49 (18) : 98-109 . |
| MLA | 邹炎平 et al. "基于DEA模型的中国区域能源与环境效率评估" . | 数学的实践与认识 49 . 18 (2019) : 98-109 . |
| APA | 邹炎平 , 于瑛英 , 唐孝文 , 唐亮 . 基于DEA模型的中国区域能源与环境效率评估 . | 数学的实践与认识 , 2019 , 49 (18) , 98-109 . |
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Abstract ：
Recently, assembly line balancing problem with uncertain task time gains more and more attention in the literature. Task time uncertainty may overload workstations. Uncertain task time attributes were studied in the frameworks of the probability theory. In this paper, we use a new method, which is the uncertainty theory, to model the uncertain task time as the historical task time information is unavailable. We incorporate the uncertainty into the constraints of the type-1 U-shaped assembly line balancing problem. We derive some useful theorems related to the optimal solutions. Further, we develop an algorithm based on the branch and bound remember algorithm to solve the proposed problem. Finally, numerical studies are conducted to illustrate our model. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Keyword ：
Uncertain task time attribute Uncertain task time attribute Uncertainty theory Uncertainty theory Uncertain Programming Uncertain Programming Branch and bound remember Branch and bound remember Assembly line balancing Assembly line balancing
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| GB/T 7714 | Li, Yuchen , Hu, Xiaofeng , Tang, Xiaowen et al. Type-1 U-shaped Assembly Line Balancing under uncertain task time [C] . 2019 : 992-997 . |
| MLA | Li, Yuchen et al. "Type-1 U-shaped Assembly Line Balancing under uncertain task time" . (2019) : 992-997 . |
| APA | Li, Yuchen , Hu, Xiaofeng , Tang, Xiaowen , Kucukkoc, Ibrahim . Type-1 U-shaped Assembly Line Balancing under uncertain task time . (2019) : 992-997 . |
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