“…It promotes a more complicated, quantitative simulation and is able to achieve more robust and reliable outcomes [3]. Since the 1960s, several studies have used the system dynamic method to address or simulate scenarios in many different applications, such as in socioeconomic dynamics [4, 5], business systems [6], corporate planning and policy design [7], urban dynamics [8, 9], analysis of urban problems and responses to policy changes [10], agricultural systems [11], agricultural policy analysis [12], ecological systems [13], predicting flood patterns caused by snowmelt [14], water resources management [15], simulation of recharge and flow mechanisms in a fractured bedrock aquifer [16], simulating the process of accumulated metals treatment in constructed wetlands [17], implementing health care policies and programs [18], analyzing the impact of strategies for addressing epidemics, [19], environmental systems [20, 21], prediction of solid waste generation [22], analysis of collection capacity and electricity generation from solid waste [23], and even as a decision support tool to solve the coastal zone management problem [24]. …”