Dynamic modeling of power supply chain optimization

The purpose of this study is to modeling the factors affecting supply chain optimality based on the system dynamics technique in the power industry. The present study uses a hybrid approach to develop a qualitative-quantitative approach to formulate and validate the factors influencing the supply chain optimality. To elaborate and identify the optimal factors, from content analysis and thematic analysis using Novio software to construct themes, a qualitative model of factors influencing supply chain optimality was designed. On the optimality of the supply chain, 23 experts and experts in the electricity industry with purposive sampling method were selected. In the quantitative part, the system dynamics method was used for modeling, and then the data collected was analyzed by Venice software. This simulation was carried out over a one year period and represents a long-term horizon. Then the results of this simulation were presented and interpreted on the variables studied. Determining the relationships between variables and the types of variables can lead to a better understanding of the issue and to making appropriate decisions on the supply chain optimality problem.