• DocumentCode
    3471998
  • Title

    Dynamic Scheduling of Oil Refinery based on Model-optimization and Process-configuration

  • Author

    Guo, Qingqiang ; Li, Qiqiang ; Ding, Ran ; Zhang, Jinsong ; Wang, Xiuhong

  • Author_Institution
    Shandong Univ., Jinan
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    1177
  • Lastpage
    1181
  • Abstract
    The refinery scheduler needs set up new balance quickly among the equipments and storage when equipment conks out or a line in trouble. One of the main reasons why static methods seem to be inadequate in practice to support production management decisions is because they are difficult to combine schedulers´ experience in models quickly. The proposed process-configuration approach gives the flexibility to customize any aspect of the model with little effort, or to include schedulers´ experience quickly when unexpected event happen. The refinery is modelled as a group of interconnected graph nodes and lines, which resembles an individual physical equipments or storage and material flow. The user can modelling dynamically by dragging the node, linking the line and fixing their parameters. Using the saved simulation results, the system allows the user to set up a new model by modifying few property of the component or changing some line´s direction. As a result, the user can easily configure the process and modify the model to reflect changes in the production process and obtain more realistic results.
  • Keywords
    dynamic scheduling; oil refining; production facilities; dynamic scheduling; model-optimization approach; oil refinery; process-configuration approach; production management decisions; Chemical industry; Dynamic scheduling; Job shop scheduling; Material storage; Object oriented modeling; Oil refineries; Petroleum; Production management; Refining; Storage automation; Dynamic scheduling; model-optimization; process-configuration; refinery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338747
  • Filename
    4338747