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Modeling & organizations

Modeling allows for a mode of inquiry to be developed pertaining to the area in which it is being used. By bringing together the logical, mathematical and physical characteristics that a phenomenon possess, a model allows for an in-depth analysis which gives a birds-eye view of the scenario and allows for the detection of sinks where resources are being over used or under used. In general terms, a model presents the conceptual staging of a phenomenon that is already present in real life. It is the conceptual reincarnation of an occurrence or a frequent series of occurrences that exist in the real world.

The most common example of a model is a map (Powell & Baker, 2008). A map presents the very core of concepts that establish the foundations of modeling. It allows for a quantitative representation of numerous qualitative aspects that exist in the real world. A model relevant to a scenario is designed by bringing empirical data pertaining to that scenario. It is necessary for the data to be of a nature that allows the generation and observation of the data to be repeated. If the model is found to be inconsistent with the data, it is mandatory that the model is either redesigned or modified.

The manner adopted to design the model and the approach that is given to the foundation of the model is more than often reliant upon the requirements of the end user. However, when analyzing a model, it is necessary to understand that every model has a number of assumptions that justify the validity of that model. Modeling can be used and is brought into use in almost all developed areas of daily life. An example can be found in the US Postal Service that exercises numerous models to ensure efficiency in its operational framework.

One of the most frequently used of these models is the Transportation Model the US Postal Service uses in order to reduce transportation costs (ILOG, 2008). This model has been generated by combining a number of networks together and has been made possible by collaboration between USPS and IBM. The reason because of which organizations are opting to developing and implementing models is because a model allows for the establishment for better understanding of a system that would otherwise enter into a spiral that would lead to an increase in the degree of complexity as time goes by.

It is for the same reason that more than one model alone is often used by organizations to develop a better understanding of the interaction between the internal and external elements that influence the functioning of the organization (Brooks, 2001). Factors that hold relevance when a scientific model is being designed or studied include simulation, structure and visualization.

However, the numbers of types of models that are brought into use in the modern day world of modeling are equivalent to the number of applications that models are used for. It is for the same reason that models are used to study phenomenon ranging from ecological to economical to behavioral. This also explains why models are relatable to almost every platform that their area of application requires them to be related to. The platforms that are used to design and study models can range from mental to visual to mathematical to spreadsheet.

We can conclude from this brief analysis of models and their relevance that models allow for a thorough understanding of the subject scenario to be developed which in turn allows for the identification of problems and their eradication to increase efficiency. Works Cited Brooks, W. (2001, May 31). Modeling Lesson. Retrieved March 12, 2009, from nasa. gov: http://www. nas. nasa. gov/About/Education/Ozone/modeling. html ILOG. (2008, September 9). The United States Postal Service Uses Transportation Modeling to Reduce Transportation Costs . Retrieved March 12, 2009, from ilog. com: http://www. ilog. com/corporate/rele

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