"Artificial Intelligence Plus"Assisted the Exploration of Dynamic Integration Optimization of the Whole Industrial Chain of Petrochemical Enterprises
Since 2024,the diesel market has continued to weaken.In the face of the current market difficulties,reasonably regulating resources in order to promote the recovery of diesel wholesale prices,has become an important way to alleviate diesel losses.While,at present,there is a lack of direct quantification of the relationship between diesel production adjustment and price change.Based on the production and management planning optimization software and back propagation neural network,the"diesel wholesale price prediction model"is established in this study.The model is applied to the monthly production and operation optimization of a petrochemical enterprise.Meanwhile,the planning optimization model realizes the dynamic calculation that closely combines the planning optimization and the market.It is of great significance to fully consider the influence of large-scale and influential production scheduling of petrochemical enterprises on the market,which is of great significance in today's changing novel market environment.
artificial neural networkprice predictionpetrochemical industrydiesel marketproduction and management optimization
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