Affiliations: [a]
School of Economics and Management, Chang’an University, Xi’an, China
| [b]
School of Economics and Management, Hunan Institute of Technology, Hengyang, China
Correspondence:
[*]
Corresponding author. Qian Li, School of Economics and Management, Chang’an University, Xi’an, China. E-mail: [email protected].
Abstract: With the popularity of computer technology, big data, Internet of things and other new IT technologies appear. With the rapid transformation of the times, the traditional logistics industry can no longer meet the needs. Therefore, the new logistics method has been studied by various technicians. Petri network logistics is one of the new methods. The knowledge flow modeling of supply chain under Petri network is expounded. The basic theory and method of logistics are analyzed. Using the particle swarm optimization (PSO) algorithm of data Petri network to combine the Internet of things with Petri network, the innovation research is carried out and the supply chain knowledge flow model is built. In the test of information operation efficiency of the algorithm, it is proved that our algorithm is feasible.
Keywords: Petri network, logistics, supply chain knowledge flow
