A fair profit allocation model for the distribution plan optimisation of refined products supply chains
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU141357" target="_blank" >RIV/00216305:26210/21:PU141357 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/B9780323885065502862?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/B9780323885065502862?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/B978-0-323-88506-5.50286-2" target="_blank" >10.1016/B978-0-323-88506-5.50286-2</a>
Alternative languages
Result language
angličtina
Original language name
A fair profit allocation model for the distribution plan optimisation of refined products supply chains
Original language description
Refined products supply chain optimisation is a crucial issue in the oil industry. The task is to transport refined products from refineries to storage depots and retail markets through multiple transport modes. The optimisation of the refined products supply chain has been mostly based on maximising the total profit. However, each company, along with the supply chain, pursuits their own maximum profit. The solution obtained by the total chain method may not satisfy all the participants in the refined products supply chain. Bargains have existed between these companies, and steps are required to adjust the transport plan, which may affect the optimality of the plan. Also, the bargain abilities of these companies are different. A mixed-integer nonlinear programming (MINLP) model considering both cooperative game theory and transfer prices to simulate the behaviours of stakeholders is proposed to solve this problem of the optimal refined products distribution planning. Material balance, production rate, transport modes and capacities are developed as constraints. Nash bargaining solutions for the multi-player bargaining game are obtained via maximising a tailored objective function. In this way, a refined products distribution plan with more fair profit allocation can be obtained, and the bargaining ability of each participant can be considered. The model is applied to a refined products supply chain in China as a case study to show its validity and applicability. This method can also be used in the optimal planning of other refined products supply chain and help to enhance their performance.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
31st European Symposium on Computer Aided Process Engineering
ISBN
9780323885065
Number of pages of the result
6
Pages from-to
1847-1852
Number of pages of the book
2140
Publisher name
Elsevier Ltd.
Place of publication
Neuveden
UT code for WoS chapter
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