武警无人机应用发展研究

武警部队非战争军事行动不断延伸,为满足遂行多样化任务的需要,武警无人机发展势在必行。借助军民融合优势,强化已有机型功能,拓展研发适合各警种任务特点的新机型,分析并提出武警无人机未来发展方向,以期为提升各警种联合行动效能提供思路。     

Revenue management: A real options approach

Revenue management is the process of actively managing inventory or capacity to maximize revenues. The active management typically occurs through managerial levers such as price, promotion, or availability. We present a novel real options approach to revenue management that is specifically suited to the car rental business. We illustrate the concept with actual car rental data. The model produces minimally acceptable prices and inventory release quantities (number of cars available for rent at a given price) as a function of remaining time and available inventory. The pricing and inventory release recommendations of the developed model confirm earlier empirical analysis that suggested current practises discount too deeply early in the booking cycle. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

Heart analytics: Analytical modeling of cardiovascular care

Cardiovascular diseases (CVDs) are the leading cause of death and disability both in the United States and worldwide. Despite high morbidity, mortality, and cost in the United States and global healthcare systems, cardiovascular care has been understudied in the healthcare operations management literature. In this paper, we identify research opportunities for healthcare operations management scholars to aid in improving cardiovascular care. We focus on three burdensome conditions, including (1) coronary artery disease, (2) stroke, and (3) heart failure, which, collectively, lead to the vast majority of CVD‐caused mortality and disability. For each condition, we characterize a typical patient's journey in receiving cardiovascular care, elucidating key challenges in improving care and outlining research questions for healthcare operations management scholars. We close with a reference to new research opportunities that emerge as artificial intelligence is likely to transform much of cardiovascular care.     

Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks

In a master surgery scheduling (MSS) problem, a hospital's operating room (OR) capacity is assigned to different medical specialties. This task is critical since the risk of assigning too much or too little OR time to a specialty is associated with overtime or deficit hours of the staff, deferral or delay of surgeries, and unsatisfied—or even endangered—patients. Most MSS approaches in the literature focus only on the OR while neglecting the impact on downstream units or reflect a simplified version of the real‐world situation. We present the first prediction model for the integrated OR scheduling problem based on machine learning. Our three‐step approach focuses on the intensive care unit (ICU) and reflects elective and urgent patients, inpatients and outpatients, and all possible paths through the hospital. We provide an empirical evaluation of our method with surgery data for Universitätsklinikum Augsburg, a German tertiary care hospital with 1700 beds. We show that our model outperforms a state‐of‐the‐art model by 43% in number of predicted beds. Our model can be used as supporting tool for hospital managers or incorporated in an optimization model. Eventually, we provide guidance to support hospital managers in scheduling surgeries more efficiently.     

空降作战中空降兵电子对抗力量运用浅析

在科技引领的现代战争中,空降作战面临着高精度、杀伤力大的制导武器的威胁。电子对抗力量作为电子战中的武装力量,为空降兵提供了重要的安全保障。本文研究了空降作战在复杂的电磁环境中面临的电子武器威胁,分析了空降兵电子对抗力量在空降作战中的地位作用,结合空降作战的特点探索空降兵电子对抗力量的运用模式,如通过电子侦察、电子佯动、压制干扰、综合防护等手段为空降作战快速占据进攻优势奠定良好的电磁环境基础。此外,为完善空降兵电子对抗力量的作战结构,本研究提出空降作战中电子对抗作战运用的要求,以充分发挥电子对抗在空降作战中的能力,确保空降作战中制电磁权的优势,提高空降作战的制胜效能。     

基于SuperMap的战区油料保障系统设计与实现

通过对SuperMap与战区油料保障的结合,研究了基于SuperMap的战区油料保障系统,充分利用信息时代的成果提高油料保障的效能。分析了建立基于GIS的战区油料保障系统的必要性,全面构建了基于SuperMap的战区油料保障任务的数学模型,提出了未来信息化油料保障的可能途径,系统的设计并实现了基于SuperMap的战区油料保障系统,从而达到优化油料保障环节,缩短油料保障时间,提高油料保障透明度的目标。     

Using strategic culture to understand participation in expeditionary operations: Australia,Poland, and the coalition against the Islamic State

This article investigates how strategic culture influenced the decision-making of Australia and Poland regarding the global coalition against the Islamic State. In the coalition, Australia has followed its tradition of active participation in United States-led operations, while Poland has embarked on a more cautious line, thereby breaking with its previous policy of active participation. The article examines how Australian and Polish responses to the coalition were shaped by five cultural elements: dominant threat perception, core task of the armed forces, strategic partners, experiences of participating in coalitions of the willing, and approach to the international legality of expeditionary operations. It finds that Australia and Poland differed on all five elements but that the major differences are found in dominant threat perception and core task of the armed forces.     

特种作战力量网络空间防御作战效能评估方法?

根据特种作战力量网络空间防御作战系统的结构模型的预警、保护、检测、响应和恢复五个方面,按照指标的不同类型和特点,利用模糊综合评判法对指标进行量化、一致化和标准化处理,利用层次分析法确定各指标的权值,最后利用综合加权法建立综合效能评估模型从而实现对网络空间防御作战的效能评估。该方法适用性和实用性强,为网络空间防御作战效能的评估提供一种方法和思路。     

基于复杂网络的“云作战”体系模型及仿真

根据现代作战循环理论,用复杂网络的方法把作战体系的各种作战单元抽象为节点,将节点之间相互关系抽象为节点间的边,制定作战体系模型的构建规则,分别构建传统作战体系模型和“云作战”体系模型,提出作战体系度量指标,并进行仿真分析,对比两种作战体系作战能力和抗毁能力。     

Stochastic call center staffing with uncertain arrival,service and abandonment rates: A Bayesian perspective

In this article, we introduce staffing strategies for the Erlang‐A queuing system in call center operations with uncertain arrival, service, and abandonment rates. In doing so, we model the system rates using gamma distributions that create randomness in operating characteristics used in the optimization formulation. We divide the day into discrete time intervals where a simulation based stochastic programming method is used to determine staffing levels. More specifically, we develop a model to select the optimal number of agents required for a given time interval by minimizing an expected cost function, which consists of agent and abandonment (opportunity) costs, while considering the service quality requirements such as the delay probability. The objective function as well as the constraints in our formulation are random variables. The novelty of our approach is to introduce a solution method for the staffing of an operation where all three system rates (arrival, service, and abandonment) are random variables. We illustrate the use of the proposed model using both real and simulated call center data. In addition, we provide solution comparisons across different formulations, consider a dynamic extension, and discuss sensitivity implications of changing constraint upper bounds as well as prior hyper‐parameters. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 460–478, 2016