PLC在面粉厂控制系统中的应用

分析了面粉厂的特殊环境后,提出了用ＰＬＣ和微机组成控制系统。该系统可用机旁手动、集控室手动、集控室程控３种控制方式,具有顺序控制、声光报警、安全保护、故障处理及停车、工艺流程动态显示、数据自动采集和自动打印报表等功能。     

柴油机磨损寿命的灰色马尔柯夫模型预测

基于灰色系统理论,将灰色ＧＭ（１,１）预测模型和马尔柯夫预测模型的优点结合起来,形成一个灰色马尔柯夫预测模型,拓宽了灰色预测的应用范围。特别地,这种模型的预测结果比其它随机波动性较大的数据到模型的预测结果精确得多。对柴油机磨损寿命进行预测,取得了令人满意的结果。     

两个单周期的备件存储模型

在工作寿命和修理时间之一服从一般的连续型分布,另一个服从指数分布的情形下讨论了单周期的备件存储问题,通过适当地划分系统的状态,利用Markov更新过程的理论进行了分析,建立了概率型模型,并由模型得到了最佳备件数的求法。     

军械保障指挥自动化系统效能评估指标体系研究

在对系统结构和功能进行详细分析的基础上,构建了某级军械指挥自动化系统效能评估指标体系模型,给出了各级指标的专家判断矩阵,对其一致性进行检验,得出了各评估指标的权重。     

炮兵群自动化指挥系统决策组织结构的 Petri 网建模与性能分析

对炮兵自动化指挥系统中决策组织的结构和能力进行了研究,建立了较为完善的各级指挥员指挥决策体系的Ｐｅｔｒｉ网模型。通过有色Ｐｅｔｒｉ网对群一级的炮兵自动化指挥系统在不同任务环境下的不同工作方式进行了建模表示和分析,引入了决策时延这一反应指挥决策体系能力的重要性能指标,并进一步运用马尔科夫链的分析方法对建立的指挥决策体系的Ｐｅｔｒｉ网模型进行定量分析,得出了量化结果,为自动化指挥系统中决策组织结构的设计和分析提供了理论根据。     

反导防空导弹拦截决策分析模型

反导防空导弹在防空体系中发挥着越来越重要的作用，而拦截决策是实施拦截过程的一个重要方面。在本文中，考虑了多个进攻目标的情况以及反导防空导弹拦截能力的限制，利用０—１整数规划的方法给出了确定反导防空导弹最佳拦截方案的统一的优化决策模型。     

防空作战风险决策分析

防空作战决策活动具有极强的风险性。以决策者面对风险的态度为突破点,通过建立效用曲线并在最大效用原则下对有关决策问题进行优化,在一定程度上可大大降低决策方案的风险性。同时对于防空体系设计也具有一定的参考价值。     

形式化方法在装备保障决策支持系统中的应用

为提高装备保障决策支持系统的整体质量,将形式化方法应用于系统设计和组件开发,特别是关键算法的设计和实现,从而大幅提高了软件的可靠性、可复用性,以及问题求解的效率,有助于装备保障整体效能的提升.     

The dynamic and stochastic knapsack Problem with homogeneous‐sized items and postponement options

This article generalizes the dynamic and stochastic knapsack problem by allowing the decision‐maker to postpone the accept/reject decision for an item and maintain a queue of waiting items to be considered later. Postponed decisions are penalized with delay costs, while idle capacity incurs a holding cost. This generalization addresses applications where requests of scarce resources can be delayed, for example, dispatching in logistics and allocation of funding to investments. We model the problem as a Markov decision process and analyze it through dynamic programming. We show that the optimal policy with homogeneous‐sized items possesses a bithreshold structure, despite the high dimensionality of the decision space. Finally, the value (or price) of postponement is illustrated through numerical examples. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 267–292, 2015     

Dynamic policy for idling time preservation

This study aims to determine and evaluate dynamic idling policies where an agent can idle while some customers remain waiting. This type of policies can be employed in situations where the flow of urgent customers does not allow the agent to spend sufficient time on back-office tasks. We model the system as a single-agent exponential queue with abandonment. The objective is to minimize the system's congestion while ensuring a certain proportion of idling time for the agent. Using a Markov decision process approach, we prove that the optimal policy is a threshold policy according to which the agent should idle above (below) a certain threshold on the queue length if the congestion-related performance measure is concave (convex) with respect to the number of customers present. We subsequently obtain the stationary probabilities, performance measures, and idling time duration, expressed using complex integrals. We show how these integrals can be numerically computed and provide simpler expressions for fast-agent and heavy-traffic asymptotic cases. In practice, the most common way to regulate congestion is to control access to the service by rejecting some customers upon arrival. Our analysis reveals that idling policies allow high levels of idling probability that such rejection policies cannot reach. Furthermore, the greatest benefit of implementing an optimal idling policy occurs when the objective occupation rate is close to 50% in highly congested situations.