• Journal of the Korean Society of Marine Environment & Safety
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• v.12 no.4 s.27
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• pp.233-239
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• 2006

This paper aims to evaluate the operation efficiency of Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center) using DEA(Data Envelopment Analysis). for this evaluation, this paper use the quantitative data for DEA analysis with two inputs and four outputs and a qualitative data analysis with the use of expert assessment. The tool for integrating heterogeneous data is fuzzy logic model to decision support system. In this paper, therefore, RCC/RSC evaluates the priority for operation efficiency. The result are found as order as Inchon, Mokpo, Jeju, Donghae, Busan, Pohang, Yosu, Sokcho, Tongyeong, Ulsan, Taean, Gunsan RSC.

• Proceedings of KOSOMES biannual meeting
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• 2005.05a
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• pp.67-72
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• 2005

This paper aims to evaluates the operation efficiency with two inputs and four outputs with the use of DEA(Data Envelopment Analysis), a qualitative data analysis with the use of expert assessment in Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center). The tool for integrating heterogeneous data is model that applies fuzzy logic to decision support system In this paper, therefor, RCC/RSC evaluates the priority for operation efficiency. The result are found as order as Inchon, Mokpo, Jeju, Donghae, Busan, Pohang, Yosu, Sokcho, Tongyeong, Ulsan, Taean, Gunsan RSC.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.191-196
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• 2004

This paper is to measure and ealuates the technical efficiency, pure technical efficiency and scale efficiency with three inputs and two outputs with the use of DEA(data envelopment analysis) in Korean RCC(Rescue Co-ordination Center/RSC(Rescue Sub-Center). Several conclusion emerge. first the average efficiency of overall technical efficiency measure about $91.03\%$ and pure technical efficiency $96.80\%$ is much large then scale efficiency $93.83\%$. It means that inefficiency has much more to do whit the inefficient utilization of resources rather then the scale of production. second, DRS(decreasing return to scale) is Tongyeong and IRS(increasing return to scale) is Incheon, Taean, Gunsan, Yeosu, Ulsan, Donghae in RCC/RSC. finally, inefficiency RCC/RSC. have to benchmarking with reference sets.

• Journal of Navigation and Port Research
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• v.29 no.3 s.99
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• pp.215-220
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• 2005

This paper aim, to measure and evaluates the technical efficiency, pure technical efficiency and scale efficiency with two inputs and four outputs with the use of DEA(Data Envelopment Analysis) in Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center). Several conclusion emerge. first the average efficiency of overall technical efficiency measure about $91.03{\%}$ and pure technical efficiency $96.80{\%}$ is much large then scale efficiency $93.83{\%}$. It means that inefficiency has much more to do whit the inefficient utilization of resources rather then the scale of production. second, DRS(decreasing return to scale)is Tongyeong and IRS(increasing return to scale) is Incheon, Taean, Gunsan, Yeosu, Ulsan, Donghae in RCC/RSC finally, inefficiency RCC/RSC have to benchmarking with reference sets.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.121-127
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• 2003

The Korea Maritime Police Agency(KMPA) is the national maritime Search and Rescuee (SAR) authority with the responsibility to promote an efficient organization of SAR services and to coordinate the conduct of SAR operations within the Korean Search and Rescue Region(SRR). The maritime SAR operations shall provide an adequate and effective search and rescue services to minimize the loss by rendering aid to persons in distress and property in the marine environment. The essence of a successful search and rescue operation is the speed with which it is planned and carried out because survivors who need assistance and whose chances of survival diminish rapidly with time. This paper aims to propose an optimal allocation model of maritime SAR fleet in view of minimizing the search and rescue time. When maritime accidents occur, rescue units have to reach to the distress scene within the specified time. For this, SAR units must be redeployed to an advanced base so that Rescue Units(RU) can reach to the scene of distress in the shortest possible time. The Korean maritime SRR is divided into 180 sub-areas in consideration of an operational and technical ability of SAR units. The suggested model is verified through an empirical application to the Korean maritime SRR. And also the Rescue Vessels(RV) required is estimated for each Rescue Co-ordination Center(RCC).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.35-41
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• 2003

The Korea Maritime Police Agency(KMPA) is the national maritime Search and Rescue (SAR) authority with the responsibility to promote an efficient organization of SAR services and to coordinate the conduct of SAR operations within the Korean Search and Rescue Region(SRR). The maritime SAR operations shall provide an adequate and effective search and rescue services to minimize the loss of life, injury property damage or loss by rendering aid to persons in distress and property in the marine environment. The essence of a successful search and rescue operation is the speed with which it is planned and carried out because survivors who need assistance and whose chances of survival diminish rapidly with time. This paper aims to propose an optimal allocation model of maritime SAR fleet in view of minimizing the search and rescue time. When maritime accidents occur, rescue units have to reach to the distress scene within the specified time. For this. SAR units must be redeployed to an advanced base so that Rescue Units(RU) can reach to the scene of distress in the shortest possible time. The Korean maritime SRR is divided into 180 sub-areas in consideration of an operational and technical ability of SAR units The suggested model is verified through an empirical application to the Korean maritime SRR. And also the Rescue Vessels(RV) required is estimated for each Rescue Co-ordination Center(RCC).

• Proceedings of KOSOMES biannual meeting
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• 2006.11a
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• pp.253-258
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• 2006

This paper aims to measure and evaluates the technical efficiency with two inputs and four outputs with the use of fuzzy DEA(Data Envelopment Analysis) in Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center). Especially, this paper included not only the marine accident data which occurred for the analysis in particular but also the possibility data of a potential marine accident by an Environmental Stress value and analyzed the technical efficiency. And in this paper, asymmetrical triangular fuzzy number is presented about inputs/ outputs data and a procedure is suggest for it solution. The basic idea is to transform the fuzzy CCR model into a crisp linear programming problem by applying an alternative ${\alpha}-cut$ approach. Also this paper propose a ranking method for fuzzy RCC/RSC using presented fuzzy DEA approach. The result, when ${\alpha}-cut$ is 0.5, efficiency priority should be in order to YS, BS, MP, TS, JJ, PH, US, IC, SC, DR, GS, TA, WD RCC/RSC. Finally, Inefficiency TA, WD RCC/RSC have to benchmarking with reference sets.