30年来中法战争研究述评

中法战争是中国近代史上一个重要的历史事件,也是中法和中越关系史上的一次重要事件。这次战争由于传统上“法国不胜而胜,中国不败而败”的历史评价而广受史学界的关注和争论。但是,与中国近代史上其他几次战争的研究相比,对这场战争的研究还比较薄弱,而且受特定历史因素的影响,研究工作还时起时落。改革开放30年来,史学界对这场战争的研究有了长足的进步。本文对此作一简要述评。     

科学发展观:党关于发展思想的历史结晶

从"发展"到"科学发展",反映了我们党的指导理论演进的内在规律;从"重大课题"到"事业主题",体现了我们党执政为民的根本宗旨:从"第一大事"到"第一要义",标志着我们党关于发展的思想更加趋于完整和成熟;从"基本要求"到"重要指针",凸显了我们党的最新理论成果的价值定位.     

基于SOA架构的军队后勤信息系统综合集成研究

军事后勤信息系统的综合集成是军队后勤信息化建设过程中面临的难题和挑战。SOA面向服务架构,作为新一代的体系结构,是当前解决异构系统整合、应用系统集成最理想的方案之一。本文提出一种基于SOA的军事后勤信息系统综合集成框架,并对如何利用该框架开展后勤信息系统集成给出了可行方案。     

军用飞机两级维修体制探析

两级维修是美国空军于20世纪90年代开始采用的一种新型维修保障体制,实践证明,它具有节省维修费用、节约人力资源和加快后勤响应等优点。本文论述了军机维修体制的发展历程,重点讨论两级维修体制的应用现状及其关键技术,最后分析了两级维修的发展趋势及其应用前景。     

信息化建设相对滞后的企业如何开展CALS工作

CALS工作与企业信息化紧密联系。本文分析了信息化相对落后企业的现状及原因,对企业如何开展CALS工作提出了具体做法,并就应重点处理的问题进行了阐述。     

军用方舱的舒适性设计

文章主要论述了军用方舱在舒适性方面的设计,内容主要包括舱内噪声的控制、舱内的通风设计、照明设计、色彩与内饰设计以及人机系统的设计。通过舒适性设计,可以为舱内工作人员创造、提供一个舒适、愉快、高效的工作、生活环境。     

临近空间飞行器应用前景及发展分析

文章以临近空间飞行器的应用前景及发展趋势为背景,综合近来国外的研究发展状况,介绍了临近空间飞行器的优势、军事应用,美国对临近空间飞行器的理解及发展目标和技术途径,并结合临近空间飞行器的发展趋势和我国的发展提出了建议。     

基于装备质量的蝴蝶效应

在装备质量问题分析中,应考虑蝴蝶效应,特别要重视那些看上去,好象毫无相关的、微不足道的变化,也许它就是造成装备质量问题的主要原因;在装备科研、生产质量的管理和控制上应注重蝴蝶效应,发现并解决那些已经有苗头而处在可控制阶段的偏差是十分重要的。     

Clustered coverage orienteering problem of unmanned surface vehicles for water sampling

This study investigates a clustered coverage orienteering problem (CCOP), which is a generalization of the classical orienteering problem. The problem is widely motivated by the emerging unmanned techniques (eg, unmanned surface vehicles and drones) applied to environmental monitoring. Specifically, the unmanned surface vehicles (USVs) are used to monitor reservoir water quality by collecting samples. In the CCOP, the water sampling sites (ie, the nodes) are grouped into clusters, and a minimum number of nodes must be visited in each cluster. With each node representing a certain coverage area of the water, the objective of the CCOP is to monitor as much as possible the total coverage area in one tour of the USV, considering that overlapping areas provide no additional information. An integer programming model is first formulated through a linearization procedure that captures the overlapping feature. A two-stage exact algorithm is proposed to obtain an optimal solution to the problem. The efficiency and effectiveness of the two-stage exact algorithm are demonstrated through experiments on randomly generated instances. The algorithm can effectively solve instances with up to 60 sampling sites.     

Optimal production ramp-up in the smartphone manufacturing industry

Motivated by challenges in the smartphone manufacturing industry, we develop a dynamic production ramp-up model that can be applied to economically satisfy nonstationary demand for short-life-cycle products by high-tech companies. Due to shorter life cycles and more rapid evolution of smartphones, production ramp-up has been increasingly critical to the success of a new smartphone. In the production ramp-up, the key challenge is to match the increasing capacity to nonstationary demand. The high-tech smartphone manufacturers are urged to jointly consider the effect of increasing capacity and decreasing demand. We study the production planning problem using a high-dimensional Markov decision process (MDP) model to characterize the production ramp-up. To address the curse of dimensionality, we refine Monte Carlo tree search (MCTS) algorithm and theoretically analyze its convergence and computational complexity. In a real case study, we find that the MDP model achieves revenue improvement by stopping producing the existing product earlier than the benchmark policy. In synthetic instances, we validate that the proposed MCTS algorithm saves computation time without loss of solution quality compared with traditional value iteration algorithm. As part of the Lenovo production solution, our MDP model enables high-tech smartphone manufacturers to better plan the production ramp-up.