Proceedings of the Thirty-second (2022) International Ocean and Polar Engineering Conference
Shanghai, China, June 5–10, 2022
Copyright © 2022 by the International Society of Offshore and Polar Engineers (ISOPE)
ISBN 978-1-880653-81-4; ISSN 1098-6189

www.isope.org

Dispatch Optimization of Maritime Rescue Forces in Arctic Shipping Based on the Comparison ofTOPSIS and the Weighted Scoring Method
Yinglong Chen 1,2, Jun Li 1, Xinjuan Hao 1, Yue Zhao 1, Yongjun Gong 1
1. Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian, China
2. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China
method, and put forward the method of solving the optimization ofmaritime rescue ships by using the mathematical comprehensive
evaluation theory. Jung and Yoo (2019) studied the optimal path
planning of rescue ships based on image processing and cluster analysis.
Razia and Karatas (2016) studied the allocation model of maritime
emergency rescue ships. Luscombe and Kozan (2016) proposed a
dynamic allocation method of rescue resources for emergency
management department. Kim (2010) proposed a stochastic model for
optimal dispatch of marine accident rescue ships with probabilityconstraints. Koczkodaj and Orlowski (1997) put forward the dispatching
method of rescue forces when the rescue target drifts under the influenceof meteorological and sea conditions. Laporte et al (1989) studied theemergency ship dispatch problem with limited rescue time and resources.
Zhu et al. (1999) from China first constructed the optimal selection
model of maritime rescue ships for maritime life and property rescue,
which laid the foundation for the study of the optimal selection ofmaritime rescue ships. Xing et al. (2012) constructed a 0-1 planning
optimization model for the selection of the best search forces formaritime emergencies. Zhou et al. (2005) used the fuzzy decision theory
to identify an optimization method of selecting ships for rescue. Wu andLan (2018) used the fuzzy similarity priority ratio decision-making
method to optimize the dispatch scheme of maritime rescue ships.
It is found that the existing research does not involve the rescue force
dispatch in polar environment, and does not take into account polarspecific factors such as sea ice, polar communication capability and low
temperature resistance of the rescue equipment. In view of the above
studies, this paper sets up a typical Arctic maritime accident situation,
determines the influence factors of Arctic maritime rescue, and uses theWeighted scoring method and TOPSIS to build the rank model forclassic rescue forces in Arctic shipping, such as rescue ships and variousaircrafts.

ABSTRACT
In order to improve the emergency handling ability of Marine rescue inthe Arctic, this paper proposes to use TOPSIS (Technique for order
preference by similarity to ideal solution) and the Weighted scoring
method, respectively, to identify the dispatching rank of Marine rescueforces. By comparing the two methods of dispatch sorting result, thebetter method is identified. Firstly, according to the environmental
characteristics of the Arctic, the evaluation indexes of the dispatching
rescue force is selected, and the weight coefficient of the evaluationindexes is determined comprehensively by the AHP (Analytic hierarchyprocess) and the Entropy weight method; Then, a typical accident
situation in the Arctic Sea is set up, and the Weighted scoring methodand TOPSIS are used to rank maritime rescue forces stationed in
Murmansk respectively. Finally, taking the rank results obtained by theWeighted scoring method as a reference, the rank results obtained byTOPSIS are compared with it. It is concluded that the rescue forces
dispatch rank obtained by TOPSIS is more reasonable, which shows thatTOPSIS can effectively be used to identify the selection of rescue forces
and provide valuable advice to the Arctic Maritime authorities on theirsearch and rescue operations in the Arctic Sea.

KEY WORDS: Arctic shipping; maritime rescue; dispatch
optimization; Entropy weight method; TOPSIS.

INTRODUCTION
The accelerated melting of Arctic Sea ice is making Arctic shipping lanes
more open and polar operations are growing rapidly (Rottem, 2013). In
the Arctic region, the environment is cold and harsh, and maritime
accidents on ships seriously affect the safety of people on board.
Therefore, it is urgent to enhance effective and quick maritime rescue(James and David, 2019). In order to ensure safe operation of polarshipping, scientific research, resource development and other activities,
we should improve the efficiency of rescue and support operations, andminimize the risk of accidents (Bercha, 2006). It is necessary to carry out
research on polar rescue forces dispatch, so as to achieve the optimal
rescue effect in the shortest time.
At present, the research on maritime rescue force dispatch is mainly
based on fuzzy decision theory and various mathematical models.
Ozdamar et al. (2004) first constructed the optimization model for thedispatch scheme of rescue ships by using the comprehensive evaluation

DETERMINATION OF THE WEIGHT OF EVALUATIONINDEXESThe introduction of evaluation indexes
Compared with ordinary sea areas, the low temperature, ice floes, remotelocation and lack of infrastructure (Kruke and Auestad 2021) make thesituation of in Arctic waters unique, which increases the difficulty andchallenges of maritime rescue.

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