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Petri Net Supply Chain Demand Prediction Model Based on Federal MAS

FENG Wei,GUO Yongqing,LUO Fei   

  1. (College of Economics and Management,Shanghai Ocean University,Shanghai 201306,China)
  • Received:2014-12-23 Online:2015-09-15 Published:2015-09-15

Abstract: In order to improve the accuracy of the supply chain prediction model, this paper uses federal Multiple Agent System(MAS) to realize the prediction of Petri net supply chain model. It uses Petri net to search and recur real-time change rule of the supply chain enterprise needs, and builds the enterprise supply chain collaborative prediction model. Simulation results with the grey value prediction model and Support Vector Machine(SVM) prediction model show that the proposed model can improve the prediction efficiency of enterprise supply chain prediction model.

Key words: supply chain, demand prediction, Petri net, information management, dynamic characteristic

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