Iterating between modeling and simulation (M&S) can improve the quality of the system design early, thereby reducing the number of errors found later in the design process.
Most organizations find modeling and simulation a money saver for testing conditions that might be difficult to reproduce with hardware prototypes alone, especially in the early phase of the design process when hardware may not be available.
Modeling and simulation is the use of models as a basis for simulations to develop data utilized for managerial or technical decision making.
A simulation is the execution of a model, represented by a computer program that gives information about the system being investigated. The simulation approach of analyzing a model is opposed to the analytical approach, where the method of analyzing the system is purely theoretical.
In the field of simulation, the concept of “principle of computational equivalence” has beneficial implications for the decision-maker. Simulated experimentation accelerates and replaces effectively the “wait and see” anxieties in discovering new insight and explanations of future behavior of the real system.
Enter advanced technology. With the integration of artificial intelligence, agents and other modeling techniques, simulation has become an even more effective and appropriate decision support for managers.
Simulation modeling solves real-world problems safely and efficiently. It provides an important method of analysis which is easily verified, communicated and understood. Across industries and disciplines, simulation modeling provides valuable solutions by giving clear insights into complex systems.
All simulations are based on a mathematical model of the process being investigated.
Simulation allows a detailed study of the object before it is realized. The parameters of the mathematical model can be varied to examine various aspects of the process.
Model parameters can also be so adjusted that the simulation yields replication of the reality as accurately as possible. The simulation is also a mechanism by which future developments can be predicted or evaluated.
Want to learn more? Tonex offers Fundamentals of Modeling and Simulation Training Workshop, a 2-day course that introduces the key Modeling & Simulation (M&S) concepts, terminology of modern modeling and simulation technology, use cases and applications in operations research and systems engineering, verification and validation of critical functions, failure analysis, modeling and simulating crucial requirements such as performance, reliability, safety, security, threats.
Participants will gain a broad knowledge of M&S concepts, use cases, applications, methods, procedures, schemes, natural languages, numerical data, and important mathematical topics.
For more information, questions, comments, contact us.