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Resource Allocation of Large Scale Engineering Based on Optimal Control Theory
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- 발행기관
- 보안공학연구지원센터(IJCA) 바로가기
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- 간행물
- International Journal of Control and Automation SCOPUS 바로가기
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- 통권
- Vol.7 No.1 (2014.01)바로가기
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- 페이지
- pp.199-214
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A214719
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- It is the common issue for all of countries that lots of safety risk accidents happen in large scale engineering projects. To save cost, generally, no enough resource is booked, or not very qualified resource is selected, which is one of the import safety risk factors in large scale engineering projects. But less scientific strategies are available to balance between safety risk values and safety risk investment. In the large scale engineer safety risk management filed, currently most of methods are qualitative, so it is a hot and difficult topic that constructs a quantitative model for practical problems, especially based on optimal control theory. In this paper, we will take both advantages of maximum principle and dynamic programming to solve the large scale engineering project safety risk issues caused by resource numbers and resource quality. Firstly, by maximum principle, establishes safety risk model considering resource numbers, and give iterative steps of the gradient descent method for numerical solution; Secondly, by dynamic programming, establishes safety risk economic model which takes into account the quality of resource; In the end, both the models are validated in one practical equipment case by combining the advantages of each algorithms .
목차
Abstract
1. Introduction
1.1. Safety Risk Management Process
1.2. Resource Allocation Issues
2. The Optimal Control Model of the Maximum Principle
3. Gradient Descent Calculation Method
4. Optimal Control Model of Dynamic Programming
5. Resource Allocation Model Based on Optimal Control
6. Case Study of Resource Allocation Based on Optimal Control
6.1. Resource Allocation Based on Maximum Principle
6.2 Resource Allocation Based Dynamic Programming
6.3 Case Summary of Resource Allocation
7. Conclusion
References
키워드
Large scale engineering Safety risk Resource allocation Optimal control Maximum principle Dynamic programming저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Control and Automation
- 간기
- 월간
- pISSN
- 2005-4297
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.1
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