Application of a Mathematic Programming Model for Integrated Planning and Scheduling of Petroleum Supply Networks
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  • 作者:Tung-Hsiung Kuo ; Chuei-Tin Chang
  • 刊名:Industrial & Engineering Chemistry Research
  • 出版年:2008
  • 出版时间:March 19, 2008
  • 年:2008
  • 卷:47
  • 期:6
  • 页码:1935 - 1954
  • 全文大小:590K
  • 年卷期:v.47,no.6(March 19, 2008)
  • ISSN:1520-5045
文摘
The scope of this study is concerned with the petroleum supply network operated by a typical oil company,in which the crude oil is consumed to produce ethylene, propylene, liquefied petroleum gas, butadiene, benzene,toluene, xylene, gasoline, kerosene, diesel, and other byproducts. These petrochemical products are usuallymanufactured with a cluster of strategically located conversion refineries.1 A complete petroleum supplychain consists of at least 13 different types of production units, that is, the atmospheric distillation units, thevacuum distillation units, the cokers, the fluid catalystic cracking units, the naphtha crackers, the butadieneextraction units, the hydrotreaters, the aromatics extraction units, the reforming units, the xylene fractionationunits, the parex units, the xylene isomar units, and the tatory units. Traditionally, the production plan of anindustrial supply chain is created first and a compatible schedule is then identified accordingly. Because thedetailed scheduling constraints are often ignored in the planning model, there is no guarantee that an operableschedule can be obtained with this hierarchical approach. To address this issue, a single mixed-integer linearprogram (MILP) has been formulated in this study to coordinate various planning and scheduling decisionsfor optimizing the supply chain performance. Solving this MILP model yields the proper procurement schemefor crude oils, the schedules for producing various petrochemical products, and the corresponding logistics.The appropriate sources (suppliers) of raw materials, the economic order quantities, the best purchasing intervals,and also the transportation schedules can be identified accordingly. In particular, the optimal production scheduleof olefins, aromatics, and other petrochemical products over the specified planning horizon is configured byselecting throughput, operating conditions, and technology options for each unit in the chain, by maintainingthe desired inventory level for each process material, by securing enough feedstock, and by deliveringappropriate amounts of products to the customers.

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