Mohammadiun Saeed, Gharahbagh Abdorreza Alavi, Bakhtavar Ezzeddin, Hu Guangji, Li Jianbing, Hewage Kasun, Sadiq Rehan
School of Engineering, University of British Columbia, Okanagan, Kelowna, BC V1V 1V7, Canada.
Department of Electrical and Computer Engineering, Azad University - Shahrood Branch, Shahrood 1584743311, Iran.
J Hazard Mater. 2023 Oct 27;463:132838. doi: 10.1016/j.jhazmat.2023.132838.
Marine oil spill response is a time sensitive and complex task, in which the management of oily wastewater generated from response operations could be a bottleneck limiting the response capacity and efficiency. This study developed a multi-agent decision support system to effectively coordinate mechanical containment and recovery (MCR) of spilt oil and oily wastewater management (OWM) operations. The system aims to minimize the overall response time, cost, and the volume of weathered oil by applying evolutionary optimization, oil weathering process, and response operational agents. The multi-agent system was used to manage an incident through a hypothetical case study in Canada. The system enables the scheduling of available response assets considering all complex operational details of MCR and OWM, such as available oily wastewater storage and transportation capacities and the competitive skimming process of various response vessels. Implementing the evolutionary multi-objective optimization led to a considerable reduction in response time (about 13.6% or 67 hr), cost (about 1.4% or CA$24,800), and volume of weathered oil (about 9.2% or 19 m) compared to the shortest distance approach. The developed multi-agent system can facilitate decision-making in complex marine oil spill response tasks for maximizing response efficiency.
