AN AGENT-BASED SIMULATION FRAMEWORK FOR SUPPLY CHAIN DISRUPTIONS AND FACILITY FORTIFICATION

Author(s):  
Xueping Li ◽  
Rodney Kizito ◽  
Taynara I. Paula
2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.


2018 ◽  
Vol 138 ◽  
pp. 119-135 ◽  
Author(s):  
Iván García-Magariño ◽  
Guillermo Palacios-Navarro ◽  
Raquel Lacuesta ◽  
Jaime Lloret

2019 ◽  
Vol 15 (2) ◽  
pp. 54-68 ◽  
Author(s):  
Jian Tan ◽  
Guoqiang Jiang ◽  
Zuogong Wang

In the supply chain network, information sharing between enterprises can produce synergistic effect and improve the benefits. In this article, evolutionary game theory is used to analyse the evolution process of the information sharing behaviour between supply chain network enterprises with different penalties and information sharing risk costs. Analysis and agent-based simulation results show that when the amount of information between enterprises in supply chain networks is very large, it is difficult to form a sharing of cooperation; increase penalties, control cost sharing risk can increase the probability of supply chain information sharing network and shorten the time for information sharing.


2015 ◽  
Vol 48 (3) ◽  
pp. 640-645 ◽  
Author(s):  
Maurício F. Blos ◽  
Robson M. Da Silva ◽  
Paulo E. Miyagi

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