tailieunhanh - Enhancing operational efficiency of hospitals using discrete event simulation

Healthcare needs have grown and healthcare organizations have become large and complex. In populous country like India, hospitals are not able to provide sufficient facilities to the patients. | Enhancing operational efficiency of hospitals using discrete event simulation International Journal of Management IJM Volume 11 Issue 4 April 2020 pp. 32-43 Article ID IJM_11_04_005 Available online at http ijm JType IJM amp VType 11 amp IType 4 Journal Impact Factor 2020 Calculated by GISI ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication Scopus Indexed ENHANCING OPERATIONAL EFFICIENCY OF HOSPITALS USING DISCRETE EVENT SIMULATION Dr. Kimsy Gulhane Assistant Professor Shri Ramdeobaba College of Engineering and Management Nagpur India Dr. Amir Khan Assistant Professor Shri Ramdeobaba College of Engineering and Management Nagpur India Rijuta Joshi Assistant Professor Shri Ramdeobaba College of Engineering and Management Nagpur India ABSTRACT Healthcare needs have grown and healthcare organizations have become large and complex. In populous country like India hospitals are not able to provide sufficient facilities to the patients. As a result patients have to wait for long times in queues. Many times there are not sufficient drugs available in stock. Purpose of research is to achieve operational excellence in hospital by applying simulation. Operational excellence of the hospitals means that Patients have to wait for less time in queues. There is no shortage of drugs. For this simulation is used. Simulation is a technique where experiments are conducted using models. These models represent real-world systems. Simulation for queues of hospital - Arrival times of patients and Service time of the server is collected from hospital. Then histogram is plotted. From the histogram data is identified with a particular distribution and then new arrival and service times are generated using random variate generator of that distribution. Using these values simulation is conducted. Output of simulation is analyzed. If it is found that server is overloaded then decision to add new server is taken. http