EXCEL QM FOR WINDOWS 8 KEYGEN

Simulation model was building for Bahir Dar clinic and then, prepared the proposed model for the system. The performance measurement for this study are patients output, service rate, service efficiency and it is directly related to waiting time of patients in each service station, work in progress, resource utilization. The simulation of the health care has been done by arena master development 14-version software. This paper deals with the service performance analysis and improvement using discrete event simulation has been used. As more courts being set up may result in waste of resources, manpower and time as the 2-server system is efficient in speeding up justice delivery in the magisterial division. Increasing the number of servers though will increase speed of disposal of cases, may also lead to increased idle time of servers. Even though lesser number of servers is seen to be efficient, this may not be advised. The study therefore concludes that the delays in the disposal of cases especially those with criminal nature may not be attributable to the queuing systems in place. The comparison of the two models shows M/M/2 with 2-identical and parallel queues is more efficient as it has more number of cases to attend to and less idle time. The results of the study show that M/M/2 model with 2 identical and parallel queues have an expected number of cases in the system as 39 with 50% idle time while the M/M/3 model with 3 identical and parallel queues have an expected number of cases in the system as 23 cases with 64.88% idle time. The specific objectives include: to apply the M/M/2 and M/M/3 models with identical and parallel queues to criminal cases in the Magistrate court and to compare the efficiency of the two models and in either cases to determine time to justice in criminal cases in the Magisterial District. The study is aimed at modelling the queuing system in the magistrate courts in Onitsha Magisterial districts. In Nigeria, there abound court cases especially those of criminal dimensions that have ongoing for years now without reaching a conclusive conclusion.

EXCEL QM FOR WINDOWS 8 KEYGEN

This is very much peculiar to those who feel that the judiciary is too slow in resolving legal issues in Nigeria. The legal system in Nigeria is be-deviled with delayed justice which has become a source of concern to many person. The optimisation model was effective in reducing patient LOS.

Furthermore, a simulation experiment of patient flow in a typical haemodialysis clinic was performed by gradual variations in patient arrival rates, λ. The model generated optimum LOS values (193.01, 275.02 and 390.01) minutes compared to the mean LOS values at the haemodialysis clinic (235.50, 296.62 and 424.50) minutes for the 3-hour, 4-hour and 6-hour dialysis sessions. The model was tested using data obtained from a haemodialysis clinic, in Lagos, Nigeria. The objective is to minimize patient LOS using Genetic Algorithm (GA), implemented in Python programming language with Spyder Integrated Development Environment (IDE). This paper presents an optimisation model for scheduling patient flow in an outpatient haemodialysis clinic. However, dialysis clinics are few with limited facilities to meet the increasing demand leading to congestion, long waiting time and increased length of stay (LOS) in dialysis clinics. The demand for renal replacement therapy (RRT) from the growing number of patients suffering from chronic kidney disease (CKD) and end stage renal disease (ESRD) in Nigeria is reported to be on the rise. Regression analysis shows that all the dimensions of service quality have significant positive relationship with the patient's satisfaction. The results showed that a significant percentage of the patients were not satisfied with how queues management strategies put in place by the hospital.

Primary data was collected through observation and questionnaire methods at the hospital over a two-week period to determine the queuing model that minimizes patients waiting time. In this study, the multiple servers queuing models were used to analyze service efficiency of the Ahamadu Bello University Teaching Hospital Zaria, Kaduna State. The consequences of keeping patients in a queue for too long in order to get medical care can cause a slew of problems or even lead to death. In Nigeria, general hospitals with large number of patients have cases where patients may not be attended to on time. This trend is on the increase and it is a potential threat to healthcare services. In many hospitals, time spent by the patients to get service in the healthcare facility is always the main problem faced by the health care providers.

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