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What is a DES?
Apply in Manufacturing
Apply in Healthcare
Conclusion
3 types of simulation:
Monte Carlo
Continuous
Discrete event
Method of simulating the behavior and performance of complex system.
Keeping track
Starting and ending points
A list of DE pending or expected
Conseptual model
Set objectives and plan
Collect data
Problem formulation
Expermential
design
Create simulation model
Production runs & analysis
Documentation and Report
Healthcare
Can be very useful in designing and optimizing the number and arrangement of the test stands for the best results.
Manufacture
Important logic issues that are addressed in reality using Programmable Logic Controllers (PLC) can be tested using simulation to save valuable time and expense during actual implementation.
When modeling a health care clinic is the capacity of simulation to model complex patient flows through health care clinics, and then to play `what if' games by changing the patient flow rules and policies.
By altering patient routing and flow, it may be possible to minimize patient waiting time and increase staff utilization rates.
Design and evaluation of new manufacturing processes.
Performance improvement of existing manufacturing processes, for example, feasibility study of an automated material handling system.
Establishment of optimum operational policies, for example, studying how many
Cards should be introduced on production shop floor in order to reduce work-in-progress.
An algorithm (or engine) to support production planning and scheduling.
1. Application of discrete-event simulation in health care clinics: A survey .pdf file article JB Jun, SH Jacobson and JR Swisher
2. Applications of discrete event simulation in the design of automotive powertrain manufacturing systems .pdf file article
Arun Jayaraman and Ali K. Gunal
3. Discrete Event Simulation Professor Eduard Babulak and Dr Ming Wang - book pdf.
4. http://www.albrechts.com/mike/DES/Introduction%20to%20DES.pdf
5. http://whatis.techtarget.com/definition/discrete-event-simulation-DES
6. https://www.ncbi.nlm.nih.gov/books/NBK293948/
7. http://isgwww.cs.uni-magdeburg.de/~graham/its_01/lectures/04-DESimulation-1.pdf