Simulation and modeling approaches
Interdisciplinary scientific approaches like simulation and modeling, help organizations manage to make effective decisions, especially when a complex real-world challenge is concerned. In essence, complex problems in organizations can only be solved by scientific methods, which tend to offer a variety of the best solutions to such challenges. One of the significant benefits one can acquire from the simulation and modeling method is having valuable solutions to complex organizationdiscrete-event models, without applying knowledge in programming. Substantially, the approach tends to utilize a significant analysis technique that offers an easy way of verification, communication which enables the management to deeply understand the problem they have, thereby making a solid decision on the most effective solution.
Further, simulation and modeling enable management to experiment on valid digital system representation. In contrast to physical methods, simulation and modeling are based on computer software that uses equations and algorithms to describe a particular issue. As such, management can have a dynamic environment regarding computer models analysis, represented in both 2D and 3D. Typically, the 2D or 3D visuals enable organization managements to create and analyze digital prototypes regarding physical models quickly, thereby predicting the model’s performance in the real world.
Simulation and modeling allow organization management to conduct a detailed study of an existing issue before decision making is achieved. In essence, the modeling parameters can easily be varied or adjusted to examine different process aspects and for simulation to accurately yield the reality replication. Unlike other methods such as linear or Excel programming, simulation and modeling have the ability to analyze the model as it runs simulations simultaneously. As a result, the management can easily interact with the simulation model while running and inspect the processes, thereby monitoring and evaluating the implications. One of the examples relating to the benefits one can get from simulation and modeling is when the Athens Olympics organizing team developed the Process Logistics Advanced Technical Optimization approach or project. The reason behind the success of the project was driven by the fact that the organizing team utilized computer simulation, which helped them to conduct a variety of several analyses regarding what-if. The approach provided the organizing team with a variety of possible solutions, which they tried out without actual implementation, thereby arriving at the most suitable one.
A process flowchart is an essential graphical representative of how business processes take place in the workplace. It can, therefore, be used for the top-down understanding of a company’s operations and activities. It enables organization managers to view and comprehend how different processes work, including various steps involved in those processes and the events that may impact change in the outcomes of the processes. Also, flowcharts help managers to figure out potential improvements, for example, when removing or automating specific steps. One can use a flowchart to completely re-engineer a specific process by changing its function. Besides, it enables the organization management to document their processes so that both senior staffs and the workforce are on the same page regarding how processes should operate. An example of the flowchart use include is when an organization has multiple processes to run simultaneously. In essence, the management will have to deploy a flowchart to monitor and evaluate parts of the processes that may need to be improved or eliminated for the success of the whole project in place.
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