西南石油大学学报(社会科学版) ›› 2018, Vol. 20 ›› Issue (2): 6-18.DOI: 10.11885/j.issn.1674-5094.2017.10.19.01

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Research on the Application of Petrochemical Production Planning Optimization——A Case Study on Daqing Petrochemical Company

BAI Lin1, WANG Kun2   

  1. 1. Daqing Petrochemical Company The Refinery Plant, Daqing Heilongjiang, 163711, China;
    2. Daqing Petrochemical Company The Engineering Management Department, Daqing Heilongjiang, 163711, China
  • Received:2017-10-19 Online:2018-03-01 Published:2018-03-01

Abstract: In order to maximize profits in petrochemical production and management, the research summarizes the development and present situation of technology and theory of the petrochemical production planning optimization, and analyzes the problems existing in the application of the refining and petrochemical production optimization technology and theory in China. Examples show that proper application of linear programming technology can improve the efficiency and reach maximize benefits in the refining and petrochemical production and management. Based on the simplified virtual petrochemical production process and petrochemical-production plan data in April, 2007 of Daqing Petrochemical Company, using linear programming method, we calculate the optimal production plan with full consideration of market changes and present petrochemical technology. The results say that the optimal petrochemical production profit of Daqing Petrochemical Company is 171.8865 million Yuan, and if the company achieves optimal profit of 150.817 million Yuan, any sub-optimal profits are lower than the optimal benefit. Proper use of linear programming can improve petrochemical production profit and achieve profit maximization. The implementation of some advanced production planning optimization technologies, such as Delta-Base, swing cut, distributed recursive method and multivariable integer programming (MIP) and multi period modeling, can further improve the accuracy of the refining and petrochemical production planning optimization model and achieve profit maximization in petrochemical production.

Key words: petrochemical, production planning optimization, linear programming, Delta-Base, swing-cut, recursive method, multivariable integer programming (MIP), multiperiod modeling

CLC Number: