Sensitivity Analysis of Optimum Tutor Staffing Schedule using Discrete Event Simulation

Sensitivity Analysis in Discrete-Event Simulation Using Design of Experiments

Scheduling analysis using discrete event simulation

We describe a production shop which needed to undertake schedule analyses at the macro level of planning and explain the methods of using simulation to obtain valid, credible schedule analyses quickly. After discussion of the simulation model itself we present actual simulation results and conclusions. These successful simulation results help the production shop attain nimble adaptation to prod...

Discrete event simulation based on decentralised schedule and direct coupling

In this paper, we present an approach, based on DEVS formalism, aiming to optimize simulations time. To do this, we propose to reduce the number of messages exchanged between components. If there are fewer messages to take into account, we believe saves processing time and thus accelerate simulations. We propose three changes from the classic DEVS: direct coupling, flat structure and local sche...

Performance Measurement and Improvement of Healthcare Service Using Discrete Event Simulation in Bahir Dar Clinic

This paper deals with the service performance analysis and improvement using discrete event simulation has been used. The simulation of the health care has been done by arena master development 14-version software. 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 ...

Determination of optimum of production rate of network failure prone manufacturing systems with perishable items using discrete event simulation and Taguchi design of experiment

This paper, considers Network Failure Manufacturing System (NFPMS) and production control policy of unreliable multi-machines, multi-products with perishable items. The production control policy is based on the Hedging Point Policy (HPP). The important point in the simulation of this system is assumed that the customers who receive perishable item are placed in priority queue of the customers w...