Publication detail

Primary logistics planning of oil products under the imbalance of supply and demand

Qiu, Rui Liang, Yong-Tu Liao, Qi Jiao, Ying-Qi Wang, BoHong Guo, Yi Zhang, Hao-Ran

English title

Primary logistics planning of oil products under the imbalance of supply and demand

Type

WoS Article

Language

en

Original abstract

This paper intends to complete the primary logistics planning of oil products under the imbalance of supply and demand. An integrated mathematical programming model is developed to simultaneously find the balance between supply and demand, and optimize the logistics scheme. The model takes minimum logistics cost and resource adjustment cost as the objective function, and takes supply and demand capacity, transportation capacity, mass balance, and resource adjustment rules as constraints. Three adjustment rules are considered in the model, including resource adjustment within oil suppliers, within oil consumers, and between oil consumers. The model is tested on a large-scale primary logistics of a state-owned petroleum enterprise, involving 37 affiliated refineries, 31 procurement departments, 286 market depots and dedicated consumers. After the unified optimization, the supply and demand imbalance is eased by 97% and the total cost is saved by 7%, which proves the effectiveness and applicability of the proposed model.

Keywords in English

Oil product logistics · Supply and demand imbalance · Petroleum enterprise · Resource adjustment · Mathematical Programming model

Released

2022-08-01

Publisher

KEAI PUBLISHING LTD

Location

Beijing

ISSN

1672-5107

Journal

Petroleum Science

Volume

19

Number

4

Pages from–to

1915–1925

Pages count

11

BIBTEX


@article{BUT182569,
  author="Qiu, Rui and Liang, Yong-Tu and Liao, Qi and Jiao, Ying-Qi and Wang, BoHong and Guo, Yi and Zhang, Hao-Ran",
  title="Primary logistics planning of oil products under the imbalance of supply and demand",
  journal="Petroleum Science",
  year="2022",
  volume="19",
  number="4",
  pages="1915--1925",
  doi="10.1016/j.petsci.2022.03.021",
  issn="1672-5107",
  url="https://www.sciencedirect.com/science/article/pii/S199582262200070X?via%3Dihub"
}