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How does modeling and simulation enhance the Systems Engineering process?
Wiki User
∙ 11y ago
The following are some of the ways that modelling and simulation are essential to improving the Systems Engineering process:
Better Design and Analysis: Before a system is actually constructed, engineers can create virtual representations of it using modelling and simulation. This makes it possible to do early design validation and analysis, which aids in spotting and fixing possible problems and inefficiencies while adjustments are still financially feasible. It offers a more thorough comprehension of the behaviour and functionality of the system, resulting in improved design choices.
Risk Mitigation: Engineers can evaluate a system's behaviour under various scenarios and conditions by simulating the system. This aids in identifying and reducing operational risks related to the system. Potential issues can be resolved before they become costly or serious ones by testing and improving the model.
Cost Reduction: Significant cost savings can be achieved through modelling and simulation. It does this by enabling engineers to virtually test and evaluate various design options, thereby eliminating the need for costly and time-consuming physical prototypes and testing.
Time Efficiency: Several design and testing iterations are commonly included in the Systems Engineering process. These iterations can be completed more quickly and effectively with simulation. This quickens the development process and may help complex systems reach the market sooner.
Collaboration Across Disciplines: Systems engineering frequently draws on a variety of fields and specialties. Multidisciplinary teams can work together and communicate more effectively when they have a common platform like modelling and simulation. This system integration ensures that all of the parts function as a whole and helps to achieve a holistic view.
Data Gathering and Analysis: Large volumes of data are produced by simulated systems, which may be examined to learn more about the functionality and behaviour of the system. Engineers can make well-informed decisions and further optimise the system with the help of this data-driven approach.
Training and Testing: You can use simulations to help with training and testing. In complex and safety-critical systems, where real-world testing may be dangerous or impractical, this is especially helpful. It gives operators a secure, regulated setting in which to practise and learn.
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hminnovance llp
Wiki User
∙ 11y agoHelping IPT members to understand the interrelationship of components without physically changing the system.
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