Lenovo Mobile New Product Introduction Operations Management Based on the Supply Chain

本文基于联想移动供应链新品导入(NewProductIntroduction,NPI)运作管理中的实际情况，对KPI（KeyPerformanceIndicator）指标TTM(TimetoMarket)、TTV(TimetoValue)影响较大的因素进行了分析，同时运用所学的供应链管理、项目管理、质量管理等理论知识，提出了建设性的改善方案和实施策略。在联想移动新品导入运作管理中，充分运用项目管理的理论知识，对新品导入的全过程进行风险管理、优化流程等工作，建立了新品导入的管理体系。同时，对新品导入过程中的突出问题，物料齐套性、复制模开发进度、供应商物料质量管理进行详细的分析，结合工作实际，提出...Based on the actual management work in NPI (Supply chain, Lenovo mobile BU), impact factors on TTM/TTV (KPI indicators) are analyzed in this paper. At the same time, combining the theoretical knowledge of project management and the quality management, puts forward some constructive improvement scheme and implementation strategy.In this paper, using the theoretical knowledge of project management, ...学位：工商管理硕士院系专业：管理学院_工商管理硕士(高级管理人员工商管理硕士)学号：X201015632

一种空气自吸式直接醇类燃料电池极板及应用

本发明涉及一种空气自吸式燃料电池的极板材料，该材料采用金属与非金属的复合材料，并对金属作表面处理，镀铂、镀金或者镀氮化钛，作为空气自吸式直接醇类燃料电池的极板，方便了电池的组装，提高电池组的集成度，减小极板腐蚀，同时降低电池内阻，从而提高电池的性能及寿命。该极板材料适用于质子交换膜燃料电池，尤其适用于氢气或者甲醇进料的室温空气自吸式的质子交换膜燃料电池。带填

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies