Simulation Model: Simplification Of The Real World
Simulation models becomes a trend topic for describing the real system. Model is the simplification of the real world. (Pidd, 2003) states the model is representation of the part of reality which the people wish to understand, change, manage, and control it. Simulation is used to know the behavior of the real system. (Forrester, 1961) states the simulation consists of tracing through the flows of orders, goods, and information actually then observing the sequences of new decisions. Adams et al. (1999), process simulation can be used to support several key steps in the continuous improvement process. To be most effective, simulation models should be developed that apply continuous improvement concepts.
Simulation using System Dynamics (SD)
was developed by Forrester (1961) from Massachusetts Institute of Technology (MIT). System Dynamics is a computer-aided approach, at the beginning called “Industrial Dynamics” (Forrester, 1961) describes Industrial Dynamic as: “…the study of the information feedback characteristics of industrial activity to show how organizational structure, amplification (in policies), and time delays (in decision and actions) interact to influence the success of the enterprise”. System Dynamics is used in many areas, consists of two mains of the characteristics, are feedback loop structures and delay. (Pidd, 2003) states delays and feedback loops are fundamental of System Dynamics that responsible to describe the behavior of the real system. (Forrester, 1992), System Dynamics (SD) lead to equations of model, simulation to understand dynamic behavior, evaluation of alternative policies, education and choice of a better policy and implementation. (Pfaffenbichler, Emberger and Shepherd, 2010) mention two key elements of System Dynamics (SD) in modeling are the structure of the modeled system (qualitative) and the parameter of the modeled system (quantitative). Simulation model by System Dynamics is one of the stochastic simulation models. There is a main differences between deterministic and stochastic simulation models, which deterministic simulation models describe the behavior when there are random effect and the deterministic simulation models are assumed there are no random effect (Shapiro, 2001).
Simulation using System Dynamics (SD)
was developed by Forrester (1961) from Massachusetts Institute of Technology (MIT). System Dynamics is a computer-aided approach, at the beginning called “Industrial Dynamics” (Forrester, 1961) describes Industrial Dynamic as: “…the study of the information feedback characteristics of industrial activity to show how organizational structure, amplification (in policies), and time delays (in decision and actions) interact to influence the success of the enterprise”. System Dynamics is used in many areas, consists of two mains of the characteristics, are feedback loop structures and delay. (Pidd, 2003) states delays and feedback loops are fundamental of System Dynamics that responsible to describe the behavior of the real system. (Forrester, 1992), System Dynamics (SD) lead to equations of model, simulation to understand dynamic behavior, evaluation of alternative policies, education and choice of a better policy and implementation. (Pfaffenbichler, Emberger and Shepherd, 2010) mention two key elements of System Dynamics (SD) in modeling are the structure of the modeled system (qualitative) and the parameter of the modeled system (quantitative). Simulation model by System Dynamics is one of the stochastic simulation models. There is a main differences between deterministic and stochastic simulation models, which deterministic simulation models describe the behavior when there are random effect and the deterministic simulation models are assumed there are no random effect (Shapiro, 2001).