Fair Production Allocation in Crude Oil Refinery Supply Chain

Fenglian Dong; Qingbao Xie; Zonglin Lyu; Meng Zhang; Pengfei Liu; Xiaoyang Mao; Zijing Yang; Songsong Liu

doi:10.2991/978-2-38476-507-2_7

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Fair Production Allocation in Crude Oil Refinery Supply Chain

Authors

Fenglian Dong¹, Qingbao Xie³, Zonglin Lyu², Meng Zhang¹, Pengfei Liu¹, Xiaoyang Mao¹, Zijing Yang⁴, Songsong Liu⁴^{, *}

¹Key Laboratory of Oil & Gas Business Chain Optimization, CNPC, PetroChina Planning and Engineering Institute, Beijing, 100083, China

²China National Petroleum Corporation Refining, Chemical and New Materials Branch, Beijing, 100010, China

³China University of Petroleum, Beijing, 102249, China

⁴School of Management, Harbin Institute of Technology, Harbin, 150001, China

^*Corresponding author. Email: s.liu@hit.edu.cn

Corresponding Author

Songsong Liu

Available Online 15 December 2025.

DOI: 10.2991/978-2-38476-507-2_7 How to use a DOI?
Keywords: Crude Oil Supply Chain; Supply Chain Optimization; Refinering; Fairness
Abstract: This paper proposes a proportional fairness optimization model based on the Nash bargaining method to address the issue of fair production allocation in crude oil scheduling. The research focuses on complex factors such as transportation, processing and inventory in oil refineries, and constructs an mixed integer linear programming (MILP) framework to balance system efficiency and fairness. By adapting Nash bargaining method, the proposed model allocates the crude oil processing volumes among refineries. Case studies show the applicability of the proposed model. This study provides the oil industry with the decision-making tool that simultaneously optimizes economic benefits and production allocation fairness.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2025 4th International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2025)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 15 December 2025
ISBN: 978-2-38476-507-2
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-507-2_7 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Fenglian Dong
AU  - Qingbao Xie
AU  - Zonglin Lyu
AU  - Meng Zhang
AU  - Pengfei Liu
AU  - Xiaoyang Mao
AU  - Zijing Yang
AU  - Songsong Liu
PY  - 2025
DA  - 2025/12/15
TI  - Fair Production Allocation in Crude Oil Refinery Supply Chain
BT  - Proceedings of the 2025 4th International Conference on Public Management, Digital Economy and Internet Technology (ICPDI 2025)
PB  - Atlantis Press
SP  - 68
EP  - 73
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-507-2_7
DO  - 10.2991/978-2-38476-507-2_7
ID  - Dong2025
ER  -

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