What is modelling?
Models are a way of describing our beliefs about how the world functions. Modelling by definition is a physical, mathematical or logical representation of a system, entity, phenomenon or process. It is used as a simplified representation of a system at any particular time intended to promote the understanding of the pearl process. Modelling is similar to the system it represents but simpler. It is used in multiple domains including computer modelling, system engineering, education, process simulation and mathematical modelling services as a means of representation of concepts. Just as engineering drawings help to explain the 3D structure of mechanical and architectural designs, conceptual models are used as a means by which real-time systems are architectured and designed. Mathematical modelling is used for a number of different reasons for developing scientific understanding, testing the effect of changes in a system, and aid tactical and strategic decisions in a system.
What is simulation?
Simulation is the replica of a real-world process or system. The simulation requires the use of models which represents the key characteristics or behaviour of the system and process. It represents the evolutions of the model over time. Process Simulation is used in multiple concepts such as safety, engineering, testing, training, education, video games, medical science and economics. It is used in scientific modelling or natural systems to gain valuable insights and make informed predictions into their functioning. In areas like aerospace or medical training where small mismanagement or mistakes can prove life-threatening, process simulation and modelling is a preferred alternative.
How is modelling different from simulation?
The terms modelling and simulation are both used for better understanding and to reduce costs and are often used synonymous. However, modelling resides on an abstract level while simulation resides on the implementation level. Modelling is perceived as an abstraction of reality resulting in the formal understanding of a concept. The execution of model overtime is understood as simulation. In other words, modelling targets conceptualisation and simulation focuses mainly on implementation.
Modelling and simulation i.e conceptualisation and implementation are two mutually dependent activities. Like in system engineering, a management professional needs to make sure that a system design is aligned with system development, modelling and simulation needs to be conducted with the same level of professionalism for the model that needs to be implemented.
What is the difference between steady-state simulation and dynamic simulation?
Steady-state simulations are widely used in the industry and are a common practice nowadays. Steady-state simulation is a key for process conceptualisation, designing and evaluation. It is important to highlight that a steady-state does not mean a fixed position, it means fixed behaviour. It is similar to when a pendulum is in fixed oscillation.
Dynamic simulation, on the other hand, allows engineers to study how a system behaves in reaction to change. The most significant difference between a steady-state and dynamic state simulation is that a steady-state assumes that all the variables remain constant with respect to time. There is no accumulation of energy in the system which means the overall input matches its output.