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00000nam c2200205 c 4500
000000846629
20220928131122
110208s2010 ulk m CC 001a kor
▼a 211070
▼c 211070
▼d 211070
▼l DM0000005714
▼v 20088502
▼f DD
▼a 393.8
▼a 393.8
▼b 국384ㅂ
▼c 20088502
▼a 함대 수준에서의 한국 해군함정 운용계획에 대한 연구=
▼x A Study on Operational Planning for the ROK Navy's Ships at the Fleet Level/
▼d 정환식.
▼a 서울:
▼b 국방대학교,
▼c 2010.
▼a 105 p.;
▼c 27 cm.
▼a 지도교수 이재영
▼a 학위논문(박사) --
▼b 국방관리대학원,:
▼c 군사운영분석전공,
▼d 2010
▼a 함대수준
▼a 한국해군함정
▼a 운용계획
▼a Operational scheduling
▼a NSGA-II
▼a Non-dominated Sorted Genetic Algorithm-II
▼a Berth allocation planning
▼a Two-stage stochastic programming model
▼a 군사운영분석
▼a 이재영
▼a 박사논문
▼a 학위논문
▼a 박사학위논문
▼a (군대학) 학위논문
| 자료유형 : | (군대학) 학위논문 |
|---|---|
| 분류기호 : | 393.8 |
| 서명/저자사항 : | 함대 수준에서의 한국 해군함정 운용계획에 대한 연구= A Study on Operational Planning for the ROK Navy's Ships at the Fleet Level/ 정환식. |
| 발행사항 : | 서울: 국방대학교, 2010. |
| 형태사항 : | 105 p.; 27 cm. |
| 일반주기 : | 지도교수 이재영 |
| 학위논문주기 : | 학위논문(박사) -- 국방관리대학원,: 군사운영분석전공, 2010 |
| 언어 | 한국어 |
| 원문보기 : |
함대 수준에서의 한국 해군함정 운용계획에 대한 연구 = A Study on Operational Planning for the ROK Navy's Ships at the Fleet Level |
|---|
An operational planning for the Republic of Korea’s (ROK’s) Navy Ship could be divided into two domains in the fleet level. One is the operational scheduling in the aspect of the entire operation and the other is the berth allocation planning in naval ports.
For finding such an efficient operational planning, we may have to rely on a “model”, which is an abstract representation of the real problem.
The operational scheduling is to determine the available periods of each ship in this study. The ships’ “availability” means that their main systems—weapons, navigation, and propulsion—are in full operational readiness. If some of these major systems are not ready, then the ships should not be available for operations, as a high level of availability of the ROK Navy’s limited resources determines its Navy’s strength. However, if some ships are operated without proper maintenance only to improve their availability, this will result in inefficiencies. This study examines the operational scheduling for two squadron ships and considers multiple objectives, such as availability, the number of ships overlapping maintenance, and deviation from available ships in a particular week. This study applied the NSGA-II algorithm to find better solutions for more efficient scheduling. The experiment reached an efficient solution after 1,000 generations. Three efficient operation schedules were compared on the basis of three multiple objectives among the Pareto optimal set. Finally, this model lessened the deviation of available ships in a particular week, considering the ROK Navy’s limited resources.
The berth allocation planning is to establish an efficient berth allocation plan for navy ships in their home port within the constraints of limited resources such as berths and equipment. In general, navy ships require pier services such as maintenance and standby during their period in port. Berth allocation planning is a complex and challenging problem because of the inherent uncertainties in the maintenance requirements of each ship. In this study, to deal with this uncertainty, a scenario based stochastic programming model has been developed for the berth allocation planning. The model was formulated as a two-stage stochastic programming model based on the “fan of individual scenarios.” The scenarios were generated considering a maintenance requirement uncertainty which depends on the number of running days of each ship. The probabilities are estimated based on the historical maintenance data corresponding to the running days of each ship. The model is applied to the berth allocation problem in Korean naval ports. The expected benefit of the stochastic model was analyzed quantitatively based on the value of the information measured. The results indicated that the solutions of the stochastic model were much more effective than those of the deterministic model which shows only average results.
Chapter 1. Introduction
1. Research Background and Motivation
2. Fleet Organization
3. Scope of the Research
Chapter 2. Literature Review
1. Operational Scheduling for ROK Navy's Ships
2. Berth Allocation Planning in Naval Ports
Chapter 3. Operational Scheduling for ROK Navy's Ships
1. Introduction
2. NSGA-II Algorithm
3. Model Formulation
4. Experiment and Results Analysis
5. Summary
Chapter 4. Berth Allication Planning in Naval Ports
1. Introduction
2. Problem Description
3. An Overview of Modeling Under Uncertainty
4. Model Formulation
5. Case Study
6. Summary
Chapter 5. Conclusions and Future Research
1. Conclusions
2. Future Research
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