基于目标航迹分段的任务分配方案数学模型的建立

任务分配是进行计算机辅助决策的重要内容之一。本文从目标航迹分段着手,建立一种新的分配模型,解决了目标流的多次分配问题,并给出了具体应用实例。     

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     

Crane scheduling with spatial constraints

In this work, we examine port crane scheduling with spatial and separation constraints. Although common to most port operations, these constraints have not been previously studied. We assume that cranes cannot cross, there is a minimum distance between cranes and jobs cannot be done simultaneously. The objective is to find a crane‐to‐job matching which maximizes throughput under these constraints. We provide dynamic programming algorithms, a probabilistic tabu search, and a squeaky wheel optimization heuristic for solution. Experiments show the heuristics perform well compared with optimal solutions obtained by CPLEX for small scale instances where a squeaky wheel optimization with local search approach gives good results within short times. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

动态系统可靠性分析的新概念

传统可靠性分析的概念只能描述静态逻辑关系,不能满足现代复杂动态系统可靠性分析的需要。在给出动态系统状态空间结构和结构函数的基础上,提出失效序列和失效丛的概念描述动态系统的故障模式,这一概念扩展了传统可靠性分析的概念,将割集、蕴含集等作为其在静态情形的特例。给出动态系统部件的概率重要度、结构重要度以及关键重要度的概念,用实例对提出的有关概念进行了说明。     

车载光学测量设备任务调度问题建模与求解

为提高观测方案效费比、改进探测能力,探索了一类车载光学测量设备的观测任务调度问题,并给出了解决方案。将观测任务调度问题建模为一个寻找最优观测方案的数学问题,结合设备的性能特点,给出了观测方案的数学描述,梳理了观测方案应满足的约束,提出了评价观测方案质量的指标,进而利用多属性决策方法来计算不同方案的总体效能,并排序获得最优方案。仿真算例验证了方法的有效性,相关研究成果对车载光学测量设备的运用实践具有一定的参考价值。     

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.     

【专题】基于装备试验数据的信息管理平台建设研究

装备试验数据作为装备制造产业的重要生产要素,对其管理的能力已成为企业应对创新发展机遇的重要竞争力。本文对装备试验数据进行概要介绍,并对试验数据结构及特点进行分析。同时,按照装备试验数据的保密管理原则,结合装备试验活动各阶段产生的数据类型,以及试验数据量大、种类多、处理速度快等特点,提出试验数据分级管理模型。在此基础上,从试验数据在装备履约、鉴定评估以及实际应用等管理需求出发,分析当前数据管理要求规范化、多源数据管理系统化以及分析工具综合化等数据管理中需要关注的问题,提出装备试验数据信息管理平台建设框架,深入分析管理平台的基础运行环境、数据采集与预处理、分布式存储、数据分析挖掘与应用等信息管理功能模块,旨在为进一步加强装备试验数据管理提供借鉴与参考。     

情报大数据治理框架研究

本文从情报处理的发展和演变着手,面向当前大数据技术飞速发展和情报数据量呈爆炸式增长的趋势,介绍了大数据治理的概念和本文对于大数据治理的理解,并进一步针对数据治理和数据清洗内涵的不同进行了区别说明。此外,还梳理了当前各国在大数据治理和大数据开发方面的现状,对我国在大数据治理方面的政策环境和技术发展情况进行了概括。本研究针对情报大数据的特点,分析了大数据治理对于情报数据发挥作用的重要性;针对情报大数据在数据治理方面面临的问题,分析了情报大数据治理的需求;在情报大数据治理框架方面,构建了由人员组织机构、治理机制、形成的能力、治理策略等方面组成的情报大数据治理模型;对情报大数据管理生命周期内的治理内容进行了描述;最后对情报大数据治理的前景进行了简单展望。     

Simulation on the dynamic stability derivatives of battle-structure-damaged aircrafts

Accurately evaluating the aerodynamic performance of a battle-structure-damaged aircraft is essential to enable the pilot to optimize the flight control strategy. Based on CFD and rigid dynamic mesh techniques, a numerical method is developed to calculate the longitudinal and longitudinal-lateral coupling forces and moments with small amplitude sinusoidal pitch oscillation, and the corresponding dynamic de-rivatives of two fragment-structure-damaged and two continuous-rod-damaged models modified from the SACCON UAV. The results indicate that, at the reference point set in this paper, additional positive damping is generated in fragment-damaged configurations; thus, the absolute values of the negative pitch dynamic derivative increase. The missing wingtip induces negative pitch damping on the aircraft and decreases the value of the pitch dynamic derivative. The missing middle wing causes a noticeable increase in the absolute value of the pitch dynamic derivative;the missing parts on the right wing cause the aircraft to roll to the right side in the dynamic process, and the pitch-roll coupling cross dynamic derivatives are positive. Moreover, the values of these derivatives increase as the damaged area on the right wing increases, and an optimal case with the smallest cross dynamic derivative can be found to help improve the survivability of damaged aircraft.     

Scheduling maintenance and semiresumable jobs on a single machine

The majority of scheduling literature assumes that the machines are available at all times. In this paper, we study single machine scheduling problems where the machine maintenance must be performed within certain intervals and hence the machine is not available during the maintenance periods. We also assume that if a job is not processed to completion before the machine is stopped for maintenance, an additional setup is necessary when the processing is resumed. Our purpose is to schedule the maintenance and jobs to minimize some performance measures. The objective functions that we consider are minimizing the total weighted job completion times and minimizing the maximum lateness. In both cases, maintenance must be performed within a fixed period T, and the time for the maintenance is a decision variable. In this paper, we study two scenarios concerning the planning horizon. First, we show that, when the planning horizon is long in relation to T, the problem with either objective function is NP-complete, and we present pseudopolynomial time dynamic programming algorithms for both objective functions. In the second scenario, the planning horizon is short in relation to T. However, part of the period T may have elapsed before we schedule any jobs in this planning horizon, and the remaining time before the maintenance is shorter than the current planning horizon. Hence we must schedule one maintenance in this planning horizon. We show that the problem of minimizing the total weighted completion times in this scenario is NP-complete, while the shortest processing time (SPT) rule and the earliest due date (EDD) rule are optimal for the total completion time problem and the maximum lateness problem respectively. © 1999 John Wiley & Sons, Inc. Naval Research Logistics 46: 845–863, 1999