Dynamic server assignment policies for assembly‐type queues with flexible servers

We seek dynamic server assignment policies in finite‐capacity queueing systems with flexible and collaborative servers, which involve an assembly and/or a disassembly operation. The objective is to maximize the steady‐state throughput. We completely characterize the optimal policy for a Markovian system with two servers, two feeder stations, and instantaneous assembly and disassembly operations. This optimal policy allocates one server per station unless one of the stations is blocked, in which case both servers work at the unblocked station. For Markovian systems with three stations and instantaneous assembly and/or disassembly operations, we consider similar policies that move a server away from his/her “primary” station only when that station is blocked or starving. We determine the optimal assignment of each server whose primary station is blocked or starving in systems with three stations and zero buffers, by formulating the problem as a Markov decision process. Using this optimal assignment, we develop heuristic policies for systems with three or more stations and positive buffers, and show by means of a numerical study that these policies provide near‐optimal throughput. Furthermore, our numerical study shows that these policies developed for assembly‐type systems also work well in tandem systems. © 2008 Wiley Periodicals, Inc. Naval Research Logistics, 2008     

高炮火控系统模拟训练及综合评价系统

提出了一种新型的基于计算机及计算技术的高炮火控系统仿真模拟训练及综合评价系统的设计方案。这一方案不仅注重了系统实现仿真训练的基本功能,同时还利用计算机仿真优势,强调了对训练效果的评估及对训练模式的总结。提出了实时决策支持的新概念     

多目标决策的特殊坐标系求解方法

在多目标决策问题中,满意解常常要在非劣解中寻找。一般来讲,对于两个目标(二维)的解的判别并不困难,但遇到多个目标(n维),且有多个可行解时,对非劣解的判别就显得有些繁复了。因此,采用直观容易的特殊坐标系来判别"非劣解",从而给出求解多目标决策问题满意解的方法。     

求解BOOLEAN方程的新方法

应用分离表提出了求解BOOLEAN方程的新方法,该方法的基本思想是在求解BOOLEAN方程的过程中,去掉冗余计算,使得其计算速度大大的提高。同时还研究了该方法在数字电路测试产生中的应用。     

目标信息的时效性分析

战场态势是随时间不断变化的,描述战场实体状态的目标信息有其寿命周期,须及时生成并提供给使用者.提出信息价值和信息时效性的概念来衡量指挥自动化系统提供的目标信息是否满足作战行动对时间的要求.信息价值因为延时而衰减,从而降低使用信息所能达到的效果.通过分析信息延时对决策质量、毁伤概率的影响,分别讨论了信息用于决策和作战的时效性.     

论化学灾害事故处置的指挥决策及其实施

化学灾害事故处置的指挥决策及其实施水平尤为重要,在分析当前指挥决策存在不足的基础上,从完善指挥决策组织、拓展依据、突出决策重点、加强人员装备,以及科学处理一些关系等方面进行了探讨。     

基于熵理论的战场情报评估方法

熵是度量信息有效性和可靠性的重要理论工具,分析了信息熵和条件熵,并深入研究了熵作为不确定性的度量在战场情报中的评估应用,最后举例说明了既要考虑信息的价值又要考虑其风险程度这一新的情报分析方法,使得决策过程透明化,降低了决策的风险。     

Optimal maintenance policies for a safety‐critical system and its deteriorating sensor

We consider the integrated problem of optimally maintaining an imperfect, deteriorating sensor and the safety‐critical system it monitors. The sensor's costless observations of the binary state of the system become less informative over time. A costly full inspection may be conducted to perfectly discern the state of the system, after which the system is replaced if it is in the out‐of‐control state. In addition, a full inspection provides the opportunity to replace the sensor. We formulate the problem of adaptively scheduling full inspections and sensor replacements using a partially observable Markov decision process (POMDP) model. The objective is to minimize the total expected discounted costs associated with system operation, full inspection, system replacement, and sensor replacement. We show that the optimal policy has a threshold structure and demonstrate the value of coordinating system and sensor maintenance via numerical examples. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 399–417, 2017     

基于核与灰度的区间灰数多属性群决策方法

针对属性值为区间灰数且专家权重未知、属性权重部分已知的不确定多属性群决策问题,提出了一种基于区间灰数的核和灰度的决策方法。给出了区间灰数的基于核和灰度的简化形式,充分利用区间灰数的核和灰度的信息建立优化模型求得属性的权重。在求出属性权重的基础上,运用灰色关联方法分别求取各专家的核与灰度距理想方案值的关联系数,综合两者得到专家权重,最终综合专家意见并对方案比较排序得出最优结果。鉴于此,提出一种基于区间灰数相对核与灰度的决策方法。最后以一个算例验证该方法的有效性和可行性。     

静态初始条件下的歼击机中距攻防引导方法决策

在静态初始条件下,歼击机中距攻防引导方法的选择是一个定性与定量相结合的类别划分问题,因此,将粗糙集理论与概率神经网络相结合用于该问题的解决。首先,利用粗糙集理论实现专家知识约简、空战态势信息集压缩,得到最小决策信息集;其次,利用概率神经网络进行概率决策推理;最后,通过实例分析,结果表明决策推理正确,在不确定环境下仍然有效,提高了决策过程的自动化程度。