一种面向Agent的概念化建模方法*

面向Agent的建模方法为基于Agent系统的概念化描述提供了一种新的技术.针对多Agent系统分析与建模问题,扩展并规范了面向Agent概念化建模过程,定义了Agent模型及其扩展模型,并给出了形式化描述.同时,给出面向Agent的分析和设计过程,为其具体建模提供了一种高层指导.最后,与其它现有面向Agent的方法在应用方面进行了类比分析,为该方法的广泛和深入地应用研究打下基础.     

FIPA规范的防空导弹体系Agent建模方法

针对防空导弹体系建模的复杂性,探讨研究防空导弹体系的Agent建模方法.提出了基于G/A矩阵的Agent建模方法步骤,通过分析角色之间的关系描述了Agent组织结构,给出了角色类和Agent类的统一定义,并建立了Agent结构框架和类实现模型,最后构建了基于FIPA规范的MAS综合集成框架.该方法的提出,为防空导弹体系的进一步建模提供了方法依据.     

Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016     

武器装备体系能力矩阵评估方法

针对武器装备体系能力难以客观、定量评估的问题,引入复杂网络理论,提出了基于矩阵运算的武器装备体系能力评估方法。分析了武器装备体系能力的概念,建立了武器装备体系的复杂层次网络模型,描述了装备网络的组成、运行过程,定义了装备网络的矩阵描述方法和矩阵运算规则,提出了装备网络作战能力描述参数,给出了装备网络能力的矩阵计算方法,进行了影响因素分析,最后通过实例验证了方法可行性、有效性和灵活性。     

车辆悬挂系统的主动优化控制器设计及仿真

基于特征结构配置参数化结果,提出了车辆悬挂系统的主动优化控制器设计方法。该方法直接基于车辆悬挂系统的参数矩阵,便于工程应用。车辆悬挂系统的仿真实例表明所提主动优化控制器设计方法简单且有效。     

一类非线性控制系统模型的数学分析

采用非线性分析的方法,研究了一类非线性控制系统模型,得到解的整体存在性。     

防空兵武器装备发展论证专家系统的开发

首先阐明了防空兵武器装备发展论证专家系统开发的目标任务和建造原则,然后建立了专家系统的一般结构,并论述了系统开发过程中的问题定义与系统分析、知识获取、知识表示、软件实现、系统测试与评价等各个环节所应完成的任务,指出了在专家系统开发过程中潜在的主要问题。对于建立一个完备的、权威的防空兵武器装备发展论证专家系统有一定的指导意义。     

IDEF0方法在军事综合电子信息系统分析设计中的应用

就IDEF0方法在军事综合电子信息系统分析设计、系统升级与集成及仿真等方面的应用进行了深入探讨。由于IDEF0模型具有简单、全面且描述能力强等优点 ,使其在多个领域尤其在制造业中得到了广泛应用。军事综合电子信息系统是以活动为支撑 ,以信息为基础的复杂大系统 ,用IDEF0模型对其进行描述可以加深指挥人员和技术人员对系统的共同理解 ,从而提高系统开发的效率并提高系统的实用性。     

Optimal material control in an assembly system with component commonality

Allocation of scarce common components to finished product orders is central to the performance of assembly systems. Analysis of these systems is complex, however, when the product master schedule is subject to uncertainty. In this paper, we analyze the cost—service performance of a component inventory system with correlated finished product demands, where component allocation is based on a fair shares method. Such issuing policies are used commonly in practice. We quantify the impact of component stocking policies on finished product delays due to component shortages and on product order completion rates. These results are used to determine optimal base stock levels for components, subject to constraints on finished product service (order completion rates). Our methodology can help managers of assembly systems to (1) understand the impact of their inventory management decisions on customer service, (2) achieve cost reductions by optimizing their inventory investments, and (3) evaluate supplier performance and negotiate contracts by quantifying the effect of delivery lead times on costs and customer service. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48:409–429, 2001     

Effectiveness of (R,Q) policies in one‐warehouse multiretailer systems with deterministic demand and backlogging

Consider a distribution system with a central warehouse and multiple retailers. Customer demand arrives at each of the retailers continuously at a constant rate. The retailers replenish their inventories from the warehouse which in turn orders from an outside supplier with unlimited stock. There are economies of scale in replenishing the inventories at both the warehouse and the retail level. Stockouts at the retailers are backlogged. The system incurs holding and backorder costs. The objective is to minimize the long‐run average total cost in the system. This paper studies the cost effectiveness of (R, Q) policies in the above system. Under an (R, Q) policy, each facility orders a fixed quantity Q from its supplier every time its inventory position reaches a reorder point R. It is shown that (R, Q) policies are at least 76% effective. Numerical examples are provided to further illustrate the cost effectiveness of (R, Q) policies. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 422–439, 2000