A fair profit allocation model for the distribution plan optimisation of refined products supply chains

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A fair profit allocation model for the distribution plan optimisation of refined products supply chains

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A fair profit allocation model for the distribution plan optimisation of refined products supply chains

Popis výsledku anglicky

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.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

20704 - Energy and fuels

Projekt

<a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

31st European Symposium on Computer Aided Process Engineering

ISBN

9780323885065

Počet stran výsledku

6

Strana od-do

1847-1852

Počet stran knihy

2140

Název nakladatele

Elsevier Ltd.

Místo vydání

Neuveden

Kód UT WoS kapitoly

—