竞争性假设分析法在群体性事件情报预警中的应用

目前,边防部门对于群体性事件预警情报的分析缺乏科学系统的工作流程和分析思路,受思维定势、先入为主等主观因素的影响较为严重。随着科学技术的不断发展,群体性事件预警情报的来源不断扩展,数量不断攀升,如何进行准确的情报分析,成为边防部门面临的一个亟待解决的问题。分析了竞争性假设分析法在群体性事件情报预警中的可行性和实际应用,对预警情报的分析工作有一定的借鉴价值。     

新疆生产建设兵团竞技体育发展战略与对策研究

本文以新疆生产建设兵团竞技体育发展为主题,对新疆生产建设兵团竞技体育在全国体育的地位、自身的特点进行了分析,在此基础上提出了兵团竞技体育发展的步骤及主要对策,以期为兵团竞技体育的发展提供参考。     

Market entry strategy in the presence of market spillovers and efficiency differentiation

Firms form various alliances or use brand extensions to enter new markets in order to improve their operational efficiency and create a positive spillover. However, they do not always know the implications of these strategies for market entry and multimarket competition because the sale of products in one market can have negative spillover effects on product sales in other markets. We present an analytical framework to examine whether and how (i.e., by choosing alliance entry or independent entry) competing firms should enter a market in a situation where market spillovers occur when a firm enters a spillover-producing market to sell products that may increase or decrease the consumers' willingness to pay for products in the primary market. Our analysis shows that the operational efficiency (or quality differentiation ability) of firms in a spillover-producing market varies, and hence, the impact of market spillovers differs for firms. We identify the key factors, such as bargaining power, brand value difference in the primary market, and the extent of efficiencies and spillovers, that determine the firms benefitting from the different entry strategies. Specifically, we show that firms would be more willing to choose an alliance strategy to enter a spillover-producing market if the negative spillover is small and alliance efficiency is high. In contrast, if an alliance entry is not favored, the firms' relative operational efficiency is crucial for them to decide whether to enter the market independently under moderate spillover conditions. Finally, we show the implications of market entry strategies for managers.     

A cover based competitive facility location model with continuous demand

In this paper we propose and solve a competitive facility location model when demand is continuously distributed in an area and each facility attracts customers within a given distance. This distance is a measure of the facility's attractiveness level which may be different for different facilities. The market share captured by each facility is calculated by two numerical integration methods. These approaches can be used for evaluating functional values in other operations research models as well. The single facility location problem is optimally solved by the big triangle small triangle global optimization algorithm and the multiple facility problem is heuristically solved by the Nelder‐Mead algorithm. Extensive computational experiments demonstrate the effectiveness of the solution approaches.     

Aggregating courier deliveries

We consider the problem of efficiently scheduling deliveries by an uncapacitated courier from a central location under online arrivals. We consider both adversary‐controlled and Poisson arrival processes. In the adversarial setting we provide a randomized (3βΔ/2δ ? 1) ‐competitive algorithm, where β is the approximation ratio of the traveling salesman problem, δ is the minimum distance between the central location and any customer, and Δ is the length of the optimal traveling salesman tour overall customer locations and the central location. We provide instances showing that this analysis is tight. We also prove a 1 + 0.271Δ/δ lower‐bound on the competitive ratio of any algorithm in this setting. In the Poisson setting, we relax our assumption of deterministic travel times by assuming that travel times are distributed with a mean equal to the excursion length. We prove that optimal policies in this setting follow a threshold structure and describe this structure. For the half‐line metric space we bound the performance of the randomized algorithm in the Poisson setting, and show through numerical experiments that the performance of the algorithm is often much better than this bound.     

Fe~(3+)与S~(2-)反应的研究

Fe3+ 与S2 - 反应是一个典型的竞争反应 ,反应的生成物与反应条件有着非常密切的关系。通过理论研究和实验验证 ,确认在酸性介质中反应的生成物为Fe3+ 和单质S↓ ;在碱性介质中反应的生成物为黑色Fe2 S3↓。     

装备维修器材竞争性采购方式的模糊决策

针对传统装备维修器材采购方式选择主观性强、不规范等问题,通过选取“保密性、安全性、市场性、时间性和经济性”5条指标,借用层次分析法和模糊综合决策,建立了采购方式选择的量化模型,利用可调整的评语集,优化了模型决策过程,实现了采购方式选择的快速决策．     

对新疆高校大学生电子竞技运动的现状分析与探讨

随着电子信息技术业的高度发展,电子竞技运动已发展成为广大人民群众喜闻乐见的一种体育运动。电子竞技运动作为一项新兴体育项目,在新疆高校还处在萌发阶段。本文从新疆高校大学生对电子竞技运动的认知现状入手,对其阶段存在的不足进行分析,进而提出新疆高校电子竞技运动的未来发展前景,旨在实现新疆高校电子竞技运动能否尽早开展起来、填补我区高校一项竞技运动项目的空白,丰富改善在校大学生的业余文化生活,为新疆高校大学生拓宽可持续发展的文化娱乐的天地。     

Competition under time‐varying demands and dynamic lot sizing costs

We develop a competitive pricing model which combines the complexity of time‐varying demand and cost functions and that of scale economies arising from dynamic lot sizing costs. Each firm can replenish inventory in each of the T periods into which the planning horizon is partitioned. Fixed as well as variable procurement costs are incurred for each procurement order, along with inventory carrying costs. Each firm adopts, at the beginning of the planning horizon, a (single) price to be employed throughout the horizon. On the basis of each period's system of demand equations, these prices determine a time series of demands for each firm, which needs to service them with an optimal corresponding dynamic lot sizing plan. We establish the existence of a price equilibrium and associated optimal dynamic lotsizing plans, under mild conditions. We also design efficient procedures to compute the equilibrium prices and dynamic lotsizing plans.© 2008 Wiley Periodicals, Inc. Naval Research Logistics 2009     

对房地产策划的理性思考

随着房地产业的迅速发展,房地产策划在观念、专业化、组织、创新、协作和信息等方面存在着一些与发展不和谐的因素,通过对房地产策划的危机进行理性思考,以寻找战胜危机的可靠途径。在全面分析房地产策划危机的基础上,从贯穿市场意识、主动创造效益、强化整合功能、塑造品牌、引进管理等方面寻找形成房地产策划核心竞争力的源泉,以战胜暂时的危机。其结果证明了房地产策划仍然具有强大的生命力,暂时的危机一定能被克服。