Modeling New Cold Chain Logistics Processes in the Post-Epidemic Period Based on Petri Net

Abstract

Over the past few years, there has been a steady increase in demand for frozen and refrigerated products among Chinese residents. The growth of the cold chain logistics industry has played an important role in advancing China's economy. However, due to the impact of COVID-19, there is now concern over the safety of such products, which has led to a potential setback in economic recovery. This article attempts to describe the difference between the new cold chain logistics and the traditional cold chain logistics in the post-epidemic period from the structural changes in the cold chain logistics and to explore the structure of the process. To fill the gap in modeling study on new cold chain logistics, this article uses Petri net to model the new cold chain logistics in the post-epidemic period and then analyzes the model using TINA software. This study aims to provide an optimization solution for the new cold chain logistics process and to serve as a basis for future related research. However, there is a gap between the results obtained through simulation and the real situation. If researchers want to further improve the model and solve the problem, they still have to cooperate with related companies to understand the actual situation.