4.7 Article

Scheduling of a branched multiproduct pipeline system with robust inventory management

期刊

COMPUTERS & INDUSTRIAL ENGINEERING
卷 162, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2021.107760

关键词

Multiproduct pipeline; Scheduling; Market-oriented mode; Demand uncertainty; Robust inventory management

资金

  1. National Natural Science Foundation of China [51874325]
  2. Science Foundation of China Uni-versity of Petroleum, Beijing [2462021BJRC009, 19K15260]
  3. Japan Ministry of Ed-ucation, Culture, Sports, Science and Technology

向作者/读者索取更多资源

This study focuses on the scheduling problem of branched multiproduct pipeline system under market-oriented mode, proposing a scheduling method that considers market demand uncertainty and robust inventory management. This method can effectively reduce operational costs and adjustment frequency caused by demand uncertainty, ensuring that the schedule remains feasible within a certain fluctuation range.
As the main transportation mode of refined products, multiproduct pipelines play an important role in ensuring the downstream energy supply. Before the market-oriented reform of refined products, the construction and management of multiproduct pipelines were monopolized by giant state-owned enterprises, forming the selfoperation mode. However, with the development of refined products market, the market-oriented operation mode has gradually formed. Under the new mode, the market demand presents a stronger uncertainty, resulting in the scheduling method under self-operation mode may not be able to cope with the supply interruption risk caused by demand uncertainty. The robustness of the obtained schedule is low. Aiming at above issue, this paper proposes a method for scheduling of branched multiproduct pipeline system under market-oriented mode. The method considers market demand uncertainty and robust inventory management. It can not only reduce additional operation cost caused by demand uncertainty, but also decrease the adjustment frequency of schedule, so that the schedule is still feasible within a certain fluctuation range. Finally, the proposed model is validated by applying it to a real-world multiproduct pipeline system.

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