7 Steps To A Successful Discrete Event Simulation Project
Simulation Helpdesk
Everybody believes that the simulation will respond to the questions and doubts that
one has. But, to achieve satisfactory results, the simulation must be properly built. To
ensure that your discrete event simulation model for the marketplace is as accurate as possible to the real system under
investigation, some steps must be taken to ensure that the model’s results align with the expected outcomes.
7 Steps To A Successful Discrete Event Simulation Project
I
Decide On Your Goals
II
Conduct Data Collection
III
Construct the Model
IV
Validate the Model
V
Practice Simulation and Collect Results
VI
Current State Analysis
VII
Scenario Analysis And Improvement Suggestions
I
Decide On Your Goals
The first step is to set a goal. We should never start a simulation without a goal. The goal should be stated clearly, outlining the issues we seek to resolve.
II
Conduct Data Collection
In this stage of the process, we examine the
entire system to determine what data is needed to build the model. This phase of discrete event
simulation takes the longest to understand and collect data so that the activity can be properly performed and the model can be built as realistically as possible.
III
Construct the Model
We should use specialized software for this type of simulation to compare the tool
objects and the components that make up the process. IV
Validate the Model
The next step is to validate the model and
see if it is working properly. Simulator results can be compromised if data is not validated.
V
Practice Simulation and Collect Results
After validating the data, we must simulate and gather the results. To obtain reliable results, the model must
run for a long time. Remember, we’re simulating, so we should run it as often as needed.
VI
Current State Analysis
This step aims to deeply analyze the results of the existing system that provides information about the dynamics of
the system such as its’ bottleneck processes and resources as well as other inefficiencies such as high variation,
waiting times, blockages in processes, accumulation of WIP (work in progress) etc.
VII
Scenario Analysis And Improvement Suggestions
Analyzing and understanding the strength and
weaknesses of the existing system provides valuable information about how to improve it. According to
theory of constraints, in order to improve the overall performance of the system, the performance of the bottleneck process needs to be improved.
Simulation Helpdesk helps organizations analyze and improve their business process
by discrete event simulation modeling. You can get on board at our website and check out our sample simulation case study models.
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