Discrete simulation application-scheduling staff for the emergency room
WSC '89 Proceedings of the 21st conference on Winter simulation
WSC '92 Proceedings of the 24th conference on Winter simulation
Reducing time in an emergency room via a fast-track
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation of distribution systems: simulation and analysis of non-automated distribution warehouses
Proceedings of the 32nd conference on Winter simulation
Quantitative Analysis for Health Services Administration
Quantitative Analysis for Health Services Administration
Simulation with Arena
Schedule evaluation: simulation study of Dreyer urgent care facility
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Emergency departments II: a simulation-ilp based tool for scheduling ER staff
Proceedings of the 35th conference on Winter simulation: driving innovation
Functional analysis for operating emergency department of a general hospital
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation analysis of appointment scheduling in an outpatient department of internal medicine
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation analysis of an outpatient department of internal medicine in a university hospital
Proceedings of the 38th conference on Winter simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Toward simulation-based real-time decision-support systems for emergency departments
Winter Simulation Conference
Optimization and analysis of staffing problems at a retail store
Proceedings of the Winter Simulation Conference
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The waiting time for patients in outpatient departments of hospitals is a problem throughout the world. In this context, a discrete-event-simulation model was developed to examine congestions and doctor schedules in all departments of an outpatient hospital ward of the Nagoya University hospital. The method of gathering the required data on times for all outpatients and their routes is described in this paper as part of a performing simulation, especially by making use of electronic medical records. This study identified some of the best doctor schedule mixes by integrating the simulation model into an optimization program in order to reduce patient waiting time as well as doctor idle-time without adding a single additional resource.