Simulation and systems modelling Essay Example | Topics and Well Written Essays - 3000 words

Simulation and systems modelling - Essay Example It provides an overview of DES, DES adoption challenges, and DES application main areas in manufacturing. The report also represents three selected famous systems appeals for small, medium, and large companies. Finally, the report gives a conclusion and future directions for simulations. First of all, to define simulation, The Oxford English Dictionary describes Simulation as: "The technique of imitating the behaviour of some situation or system (Economic, Mechanical etc.) by means of an analogous model, situation, or apparatus, either to gain information more conveniently or to train personnel." Also, computer simulation methods have developed since the early 1960s. (Holst, 2001) Holst defines discrete event simulation (DES) as "The modeling over time of a system all of whose state changes occur at discrete points in time those points when an event occurs". In discrete event simulation, the operation of a system is represented as a chronological sequence of events. Each event occurs at an instant in time and marks a change of state in the system (Banks et al, 2005) The need for simulation applications in management is increasing. First of all, Simulation is considered to be a powerful decision making tool for managers. Xianglong et al (2001) provided simulation system that can provide the decision-maker a sequential decision-making environment by establishing a virtual reality simulation system. Also, it could be used for experiments planning and results analysis. Semini et al (2006) listed several reasons why a simulation can support manufacturing logistics decision-making: It facilitates understanding of the real system and its behavior. It reveals previously hidden relationships and provides a systematic way to analyze the situation Can facilitate communication and provide a basis for discussions. "What-if" analyses can be carried out, allowing the decision-maker to test the affects of different alternative scenarios without having to make changes in the real system. Also, Simulation applications are used for risk and disaster management for businesses, organizations, or even countries. It could construct useful visualizations of risk, as provided by triangular decompositions and trade risk profiles, and calculating relevant risk measures. For example, it can provide additional