A study of the effect of fundamental relationships in discrete event programming
This paper explores the implementation of functional relationship variables in Discrete Event Simulation (DES) programming through the integration of outside programs such as MATLAB and Excel, along with innovative Arena programming in Arena simulation programs. Discrete event programming depends on and is most easily used when variables in a system are represented by common probability density functions such as exponential or Poisson. However, real world systems many times have variables that can not be accurately represented by these probability density functions but are functionally related to factors inside the simulation, such as queue length; and outside the simulation, such as temperature or tides. Using outside programs to model these functional variables greatly eases programming time in relation to attempting the same variable implementation in Arena alone and results in much greater simulation accuracy and usefulness in decision making.