Game theoretic optimisation in process and energy systems engineering: A review

被引:6
|
作者
Marousi, Asimina [1 ]
Charitopoulos, Vassilis M. [1 ]
机构
[1] UCL, Sargent Ctr Proc Syst Engn, Dept Chem Engn, London, England
来源
基金
英国工程与自然科学研究理事会;
关键词
process systems engineering; game theory; fairness schemes; supply chain optimisation; process design optimisation; ECO-INDUSTRIAL PARKS; SUPPLY CHAIN MANAGEMENT; PLANT HEAT INTEGRATION; STACKELBERG-GAME; TRANSFER PRICE; DECENTRALIZED OPTIMIZATION; PROGRAMMING APPROACH; GLOBAL OPTIMIZATION; COST DISTRIBUTION; OPTIMAL-DESIGN;
D O I
10.3389/fceng.2023.1130568
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Game theory is a framework that has been used by various research fields in order to represent dynamic correlation among stakeholders. Traditionally, research within the process and energy systems engineering community has focused on the development of centralised decision making schemes. In the recent years, decentralised decision-making schemes have attracted increasing attention due to their ability to capture multi-stakeholder dynamics in a more accurate manner. In this article, we survey how centralised and decentralised decision making has been facilitated by game theoretic approaches. We focus on the deployment of such methods in process systems engineering problems and review applications related to supply chain optimisation problems, design and operations, and energy systems optimisation. Finally, we analyse different game structures based on the degree of cooperation and how fairness criteria can be employed to find fair payoff allocations.
引用
收藏
页数:13
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