• 제목/요약/키워드: Management methods

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한국형 PDRI(Project Definition Rating Index)기법 개발 방향 (A Study on the Direction for Developing the Korean PDRI(Project Definition Rating Index))

  • 홍심희;유정호
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2016년도 춘계 학술논문 발표대회
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    • pp.168-169
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    • 2016
  • Risk management at an early stage of projects is known as an effective method expected various benefits. The PDRI(Project Definition Rating Index) by the CII(Construction Industry Institute) is defined project scope for reducing risks. In addition, the PDRI is one of the verified methods for achieving benefits by a risk management. The literature review in Korea about risk management is all about focusing on construction works and the construction phase. Thus, we need to extend the perspective of a project management such as the PDRI. To develop the Korean PDRI, However, we have to consider Korean situations. Therefore, in this study, we analyze some previous studies of PDRI' indexes and its using methods, and suggest the new direction for using PDRI in Korea. This method will enable to improve the scoring method of a project management with PDRI in Korea.

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도시공원 특성에 따른 관리유형의 평가 (An Evaluation on Management Types by Characteristics of Urban Parks)

  • 김효정;강은지;조중현
    • 한국조경학회지
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    • 제38권5호
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    • pp.21-30
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    • 2010
  • 본 연구는 최근 공원관리에 대한 새로운 방법론이 요구됨에 따라 공원유형을 재분류하고, 그에 적합한 관리방식을 제안하고자 하였다. 제안된 공원유형은 공원이용자, 이용시설 및 자원, 관리업무의 난이도에 따라 '산지자연형 공원', '생태목적형 공원', '시설집중형 공원'으로 분류할 수 있었다. 이를 바탕으로 공무원과 일반시민 등 이용자로 나누어 설문조사를 한 결과, 산지자연형 공원은 주민들이 일상적으로 이용하는 공원으로 전문적인 지식이나 기술을 필요로 하지 않으므로 자치구에서 관리하는 것이 적합한 것으로 나타났다. 생태목적형 공원은 전문성이 요구되는 공원으로 전문성을 가진 민간단체를 지정하는 것이 좋으며, 시설집중형 공원은 복합적인 공간으로한 방식보다는 다양하고 복합적인 관리방식이 필요한 것으로 나타났다.

선형계획을 위한 내부점법의 원문제-쌍대문제 로그장벽법 (A primal-dual log barrier algorithm of interior point methods for linear programming)

  • 정호원
    • 경영과학
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    • 제11권3호
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    • pp.1-11
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    • 1994
  • Recent advances in linear programming solution methodology have focused on interior point methods. This powerful new class of methods achieves significant reductions in computer time for large linear programs and solves problems significantly larger than previously possible. These methods can be examined from points of Fiacco and McCormick's barrier method, Lagrangian duality, Newton's method, and others. This study presents a primal-dual log barrier algorithm of interior point methods for linear programming. The primal-dual log barrier method is currently the most efficient and successful variant of interior point methods. This paper also addresses a Cholesky factorization method of symmetric positive definite matrices arising in interior point methods. A special structure of the matrices, called supernode, is exploited to use computational techniques such as direct addressing and loop-unrolling. Two dense matrix handling techniques are also presented to handle dense columns of the original matrix A. The two techniques may minimize storage requirement for factor matrix L and a smaller number of arithmetic operations in the matrix L computation.

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한계분석법과 유전알고리즘을 결합한 다단계 다계층 재고모형의 적정재고수준 결정 (Optimal Spare Part Level in Multi Indenture and Multi Echelon Inventory Applying Marginal Analysis and Genetic Algorithm)

  • 정성태;이상진
    • 경영과학
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    • 제31권3호
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    • pp.61-76
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    • 2014
  • There are three methods for calculating the optimal level for spare part inventories in a MIME (Multi Indenture and Multi Echelon) system : marginal analysis, Lagrangian relaxation method, and genetic algorithm. However, their solutions are sub-optimal solutions because the MIME system is neither convex nor separable by items. To be more specific, SRUs (Shop Replaceable Units) are required to fix a defected LRU (Line Replaceable Unit) because one LRU consists of several SRUs. Therefore, the level of both SRU and LRU cannot be calculated independently. Based on the limitations of three existing methods, we proposes a improved algorithm applying marginal analysis on determining LRU stock level and genetic algorithm on determining SRU stock level. It can draw optimal combinations on LRUs through separating SRUs. More, genetic algorithm enables to extend the solution search space of a SRU which is restricted in marginal analysis applying greedy algorithm. In the numerical analysis, we compare the performance of three existing methods and the proposed algorithm. The research model guarantees better results than the existing analytical methods. More, the performance variation of the proposed method is relatively low, which means one execution is enough to get the better result.

국내외 제도 비교를 통한 폐의약품 관리 개선 방안 (Improvement of Waste Drug Management System by Comparing Domestic and Overseas Programs)

  • 김호정;최예지;이인향
    • 한국임상약학회지
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    • 제29권4호
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    • pp.286-294
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    • 2019
  • Background: At the end of the'Waste Drug Disposal Project', collection and disposal of waste drugs remain a social issue. Objective: This study aimed to provide suggestions to improve the drug waste management system in Korea by comparing domestic and overseas relevant programs. Methods: This is a comparative study between South Korea, Australia, Canada, France, and the US. These overseas countries were selected because they have been operating waste drug management programs continuously to date. Comparison was conducted by a pre-determined analysis frame including legal regulation, enforcement program and its performance. Results: All selected countries except Australia had legal regulations on drug wastes. The US had the largest variety of drug waste disposal methods. Canada had recommended that pharmacies actively participate in drug waste withdrawal programs. France had the largest variety of methods to promote relevant programs, including window sticker, SNS, and app, as well as the highest level of awareness and participation. Australia had the lowest level of awareness and participation in pharmaceutical waste management programs. Pharmaceutical companies took responsibility of paying for these programs in the selected overseas countries. Conclusion: Further efforts should be made to establish a clear guideline including the role of pharmaceutical companies, and to develop various methods for the public to be aware of appropriate ways of disposing drug wastes in Korea.

Agent Based Information Security Framework for Hybrid Cloud Computing

  • Tariq, Muhammad Imran
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.406-434
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    • 2019
  • In general, an information security approach estimates the risk, where the risk is to occur due to an unusual event, and the associated consequences for cloud organization. Information Security and Risk Management (ISRA) practices vary among cloud organizations and disciplines. There are several approaches to compare existing risk management methods for cloud organizations but their scope is limited considering stereo type criteria, rather than developing an agent based task that considers all aspects of the associated risk. It is the lack of considering all existing renowned risk management frameworks, their proper comparison, and agent techniques that motivates this research. This paper proposes Agent Based Information Security Framework for Hybrid Cloud Computing as an all-inclusive method including cloud related methods to review and compare existing different renowned methods for cloud computing risk issues and by adding new tasks from surveyed methods. The concepts of software agent and intelligent agent have been introduced that fetch/collect accurate information used in framework and to develop a decision system that facilitates the organization to take decision against threat agent on the basis of information provided by the security agents. The scope of this research primarily considers risk assessment methods that focus on assets, potential threats, vulnerabilities and their associated measures to calculate consequences. After in-depth comparison of renowned ISRA methods with ABISF, we have found that ISO/IEC 27005:2011 is the most appropriate approach among existing ISRA methods. The proposed framework was implemented using fuzzy inference system based upon fuzzy set theory, and MATLAB(R) fuzzy logic rules were used to test the framework. The fuzzy results confirm that proposed framework could be used for information security in cloud computing environment.

소프트웨어 신뢰성 향상을 위한 정형기법 (A Survey on Formal Verification Methods)

  • 주운기;이충호;김중배
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2003년도 추계학술대회 및 정기총회
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    • pp.297-300
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    • 2003
  • This paper considers formal verification methods for enhancing software reliability. The formal method verifies that a software is correctly implemented according to its specification by using a mathematical formalism. This paper presents a partial survey on the formal methods and discusses possible applications for the improved software implementation. Finally, some topics are remarked as further studies.

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가속화 수명 실험에서의 비모수적 추론 (Nonparametric Inference for Accelerated Life Testing)

  • 김태규
    • 품질경영학회지
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    • 제32권4호
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    • pp.242-251
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    • 2004
  • Several statistical methods are introduced 1=o analyze the accelerated failure time data. Most frequently used method is the log-linear approach with parametric assumption. Since the accelerated failure time experiments are exposed to many environmental restrictions, parametric log-linear relationship might not be working properly to analyze the resulting data. The models proposed by Buckley and James(1979) and Stute(1993) could be useful in the situation where parametric log-linear method could not be applicable. Those methods are introduced in accelerated experimental situation under the thermal acceleration and discussed through an illustrated example.

조립 공차 설계를 위한 시뮬레이션 모델 개발 (Development of Simulation Model to Assembly Tolerance Design)

  • 장현수
    • 대한안전경영과학회지
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    • 제3권3호
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    • pp.221-230
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    • 2001
  • The assembly tolerance design methods have applied linear or nonlinear programming methods and used simulation method and search algorithms to optimize the tolerance allocation of each part in an assembly. However, those methods are only considered to the relationship between tolerance and manufacturing cost, which do not consider a quality loss cost for each part tolerance. In this paper, the integrated simulation model used genetic algorithm and the Monte-Carlo simulation method was developed for the allocation of the optimal tolerance considering the manufacturing cost and quality loss cost.

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Nonparametric Estimation of Renewal Function

  • Jeong, Hai-Sung;Kim, Jee-Hoon;Na, Myoung-Hwan
    • 품질경영학회지
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    • 제25권4호
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    • pp.99-105
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    • 1997
  • We consider a nonparametric estimation of the renewal function. In this paper, we suggest modified methods for Frees's estimator to enhance the efficiency. The methods are based on a piecewise linearization and on the fact that the bounded monotonic functions converging pointwise to the bounded monotonic continuous function converge uniformly. In a simulation study, we show that the modified methods have the better efficiency than that introduced by Frees.

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