calmedfoundation.org
calmedfoundation.org / Research and analysis /

Simulation models are analyzed by running the software over some length of time that represents a suitable period when t


Simulation models are analyzed by running the software over some length of time that represents a suitable period when t
Simulation models are analyzed by running the software over some length of time that represents a suitable period when the original system is operating under steady state.
The inputs to such models are the decision variables that are under the control of the decision-maker.
These are treated as parameters and the simulation is run for various combinations of values for these parameters.
At the end of a run statistics are gathered on various measures of performance and these are then analyzed using standard techniques.
The decision-maker then selects the combination of values for the decision variables that yields the most desirable performance.
Simulation models are extremely powerful and have one highly desirable feature they can be used to model very complex systems without the need to make too many simplifying assumptions and without the need to sacrifice detail.Fassilia
United States. Alabama



day: 19.09.2018
views - 34


photo:

Simulation models are analyzed by running the software over some length of time that represents a suitable period when t

is typically identified with mathematical analysis, the use of an innovative model and problem-solving procedure such as
is typically identified with mathematical analysis, the use of an innovative model and problem-solving procedure such as the one just described is an entirely legitimate way to conduct an O.
Computer Simulation Models With the growth in computational power these models have become extremely popular over the last ten to fifteen years.
A simulation model is one where the system is abstracted into a computer program.
While the specific computer language used is not a defining characteristic, a number of languages and software systems have been developed solely for the purpose of building computer simulation models; a survey of the most popular systems may be found in OR MS Today October 1997, pp.
Typically, such software has syntax as well as built-in constructs that allow for easy model development.
Very often they also have provisions for graphics and animation that can help one visualize the system being simulated.Fassilia
United States. Alabama



day: 19.09.2018
views - 29


photo:

Simulation models are analyzed by running the software over some length of time that represents a suitable period when t

An army of ants was then released at the anthill and the paths that they chose to get to the mounds of sugar were then o
An army of ants was then released at the anthill and the paths that they chose to get to the mounds of sugar were then observed.
After the model attained a steady state, it was found that the ants by virtue of their own tendencies had found the most efficient paths to their destinations.
One could even conduct some postoptimality analysis.
For instance, various transportation capacities along each link could be analyzed by proportionately varying the width of the link, and a scenario where certain roads were unusable could be analyzed by simply removing the corresponding links to see what the ants would then do.
This illustrates an analogic model.
More importantly, it also illustrates that while O.Fassilia
United States. Alabama



day: 19.09.2018
views - 26


photo:



Perhaps the most famous example of an analogic model was the ANTIAC model the acronym stood for anti-a utomatic- c omput
Perhaps the most famous example of an analogic model was the ANTIAC model the acronym stood for anti-a utomatic- c omputation which demonstrated that one could conduct a valid operations research analysis without even resorting to the use of a computer.
In this problem the objective was to find the best way to distribute supplies at a military depot to various demand points.
Such a problem can be solved efficiently by using techniques from network flow analysis.
However the actual procedure that was used took a different approach.
An anthill on a raised platform was chosen as an analog for the depot and little mounds of sugar on their own platforms were chosen to represent each demand point.
The network of roads connecting the various nodes was constructed using bits of string with the length of each being proportional to the actual distance and the width to the capacity along that link.Fassilia
United States. Alabama



day: 19.09.2018
views - 25


photo:



Having a clear problem definition allows one to better determine the crucial aspects of a system that must be selected f
Having a clear problem definition allows one to better determine the crucial aspects of a system that must be selected for representation by the model, and the ultimate intent is to arrive at a model that captures all the key elements of the system while remaining simple enough to analyze.
Models may be broadly classified into four categories .
Physical Models These are actual, scaled down versions of the original.
Examples include a globe, a scale-model car or a model of a flow line made with elements from a toy construction set.
In general, such models are not very common in operations research, mainly because getting accurate representations of complex systems through physical models is often impossible.
Analogic Models These are models that are a step down from the first category in that they are physical models as well, but use a physical analog to describe the system, as opposed to an exact scaled-down version.Fassilia
United States. Alabama



day: 19.09.2018
views - 20


photo:



more ads:

Waren, The Evolution of Texaco s Blending Systems From OMEGA to StarBlend, Interfaces , 25 5, pp.
Waren, The Evolution of Texaco s Blending Systems From OMEGA to StarBlend, Interfaces , 25 5, pp.

Using SEMS, a branch manager could thus autonomously decide on strategies for further improving service.
Using SEMS, a branch manager could thus autonomously decide on strategies for further improving serv ...

In addition there are constraints governing the assignment of specific fleets to specific legs in the flight schedule.
In addition there are constraints governing the assignment of specific fleets to specific legs in th ...

StarBlend is an extension of OMEGA to a multi-period planning environment where optimal decisions could be made over a l
StarBlend is an extension of OMEGA to a multi-period planning environment where optimal decisions co ...

It works by breaking up the overall problem into smaller, more manageable problems by using a heuristic decomposition ap
It works by breaking up the overall problem into smaller, more manageable problems by using a heuris ...

The bottom line is that an O.
The bottom line is that an O.
project can be successful only if sufficient attention is paid to e ...

However, it is critical to maintain a problem-driven focus - the ultimate aim of an O.
However, it is critical to maintain a problem-driven focus - the ultimate aim of an O.
study is t ...

Before describing these applications, a few words are in order about the standing of operations research in the real wor
Before describing these applications, a few words are in order about the standing of operations rese ...

In this section some examples of successful real-world applications of operations research are provided.
In this section some examples of successful real-world applications of operations research are provi ...

Before ending this section it is worth emphasizing that similar to a traditional Industrial Engineering project, the end
Before ending this section it is worth emphasizing that similar to a traditional Industrial Engineer ...

ads

ads