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Risk Assessment of a stochastic service system

Journal of systems Science and systems Engineering 2020年第5期29卷 537-554页

作者： Igor Lazov Faculty of Informatics European University Skopje1000 SkopjeMacedonia

A stochastic service system of finite size M is comprised of identical service facilities,including or not a waiting queue,which simultaneously treats N customers,N∈{0,1,…,M}.Depending on the concepts of system information *** system entropy S=£(f),we promote a risk assessment *** definition,the system entropy is the uncertainty associated with the system,and the system expected loss is the risk associated with the ***,accepting the system information as loss function,we can identify risk and uncertainty,associated with the system,using the entropy as risk ***,we differ risk of the system(i.e.,risk observed by an outside observer),risk observed by an arriving customer,and risk observed by a departing customer,giving a separate expression for each ***,these risks are compared with each other,when the system has the same average number E(N)of customers seen by any *** three risk types(together with the three customer means)allow us to distinguish two systems obeying the same probability *** approach enables system operators to choose suitable values for system utilization and size,in view of the three risks *** developed procedure is applied to the information linear system,Erlang loss system,single-server queueing system with discouraged arrivals,Binomial system and Engset loss system.

关键词： Absolute and relative risk uncertainty system information and entropy system utilization stochastic service system

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OPTIMIZATION FOR COMBAT CONFIGURATION OF AIR DEFENSE WEAPON systemS

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Transactions of Nanjing University of Aeronautics and Astronautics 2000年第1期17卷 48-52页

作者：韩松臣王兴贵南京航空航天大学民航学院南京210016 中国人民解放军军械学院石家庄050003

At evaluating the combat effectiveness of the defense system, target′s probability to penetrate the defended area is a primary care taking index. In this paper, stochastic model to compete the probability that target penetrates the defended area along any flight path is established by the state analysis and statistical equilibrium analysis of stochastic service system theory. The simulated annealing algorithm is an enlightening random search method based on Monte Carlo recursion, and it can find global optimal solution by simulating annealing process. Combining stochastic model to compete the probability and simulated annealing algorithm, this paper establishes the method to solve problem quantitatively about combat configuration optimization of weapon systems. The calculated result shows that the perfect configuration for fire cells of the weapon is fast found by using this method, and this quantificational method for combat configuration is faster and more scientific than previous one based on principle via map fire field.

关键词： air defense missile effectiveness analysis combat configuration simulated annealing algorithm stochastic service system

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QUEUING MODEL OF RAILWAY SECTION CARRYING CAPACITY

QUEUING MODEL OF RAILWAY SECTION CARRYING CAPACITY

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第一届交通运输工程国际学术会议

作者： Yinghong LI1 Qiyuan PENG2 1College of Traffic and Transportation, Southwest Jiaotong University, Sichuan Chengdu 610031 2College of Traffic and Transportation, Southwest Jiaotong University, Sichuan Chengdu 610031

According to the analysis on railway section, this paper gives a queuing model, and calculates the average sojourn time that the train spends in the queuing system and the maximal carrying capacity. Moreover, this paper explores the model deeply, and develops the relationship between the section occupation rate and the average queue length. At last, the section occupation boundary rate of different queuing systems based on the equal service time is provided through numerical analysis.

关键词： stochastic service system queuing theory section carrying capacity section occupation ratio Ek/Er/1 single channel queuing service system

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