【正文】
the hospital management and the practical application of software features bine in order to achieve the desired effect of management. To solve the problem of the queue for firstline treatment of patients with protection. Hospital information management system is not just a sign of modernization of hospital management, more importantly。s strength, improve facilities and equipment , A reasonable increase in the number of medical staff, medical clinics improve technology, and effectively reduce the average time for clinics and their degree of volatility, increase efficiency, reduce waiting time, unified treatment procedures for patients solve problems. Clearly, the application of queuing theory, on the one hand can effectively solve the system of hospital services in the allocation of personnel and equipment problems, the hospital management to provide a reliable basis for decision making。 Calculated χ2 = , from α = a critical value χ2α = 11, because χ2α = 11 χ2 = , so reach acceptable parameters λ = obey the Poisson distribution. Similarly be subject to inspection operation time of parameters of the exponential distribution. Queue up with the formula above the main quantitative indicators are as follows。 ② If the hospital would also like to build a scale of the same operating room, asked whether a reasonable With MATLAB software: 1) First calculate the average per h patients reach λ = Σ nfn/100 = 210/100 = (h /), the average time for surgery 1 / μ = Σ vfv/100 = 40/100 = (people / h) Per hour surgery pleted the number of μ = 1/ = 。s office and are not idle, they must wait. ③ services: diagnosis and treatment of patients is independent of each other, subject to the negative exponential distribution. ④ service window: multiserver, C parallel with a desk, desk work independently. Model assumptions and the establishment Assumption of an average of reach for λ, a single help desk services, the average rate (units of time that was the end of several services) μ, the entire service agencies, the average service rate c μ。s orders, and other aspects of the human error rate hits zero, so that the medical staff to release more energy and time to serve the patients and ensure economic interests of the patients at the same time Create economic benefits for the Hospital. 1 Stochastic model In various queuing system, the randomness of them is a mon, but also plays a fundamental role. The arrival time between customers and customer service requirements, at least a random, otherwise the problem too simple. Queuing theory research system described some of the major indicators of the probability distribution, divided into three parts: 1) Queuing system behavior problems Queuing system on the behavior of the problem is the study of the various laws of the probability of queuing system, including captain of the system, the customer waiting time and length of stay, and the busy period, and so the probability distribution, including their transient nature and the balance under the Census and Statistics Behavior. Queue System is the behavior of the core line of research is queuing System of statistical inference and optimization of the foundation. Consider applications from the Census and balance the various indicators of the probability of nature is particularly important. 2) The statistical system queue inference In order to understand and grasp a queuing system is running in the law, through repeated observations, data collection, and then using mathematical statistics by the method of data processing, inferred by observing the law of the probability of queuing system, application of the corresponding The theoretical results to study and solve the queuing system of the problem. Queuing system has been the statistical inference is the oute of the actual application of the basic work, bining the characteristics of queuing system, the development of such special random process of statistical inference is very necessary. 3) Queuing system opt