• 제목/요약/키워드: MANAGEMENT OBJECTIVES

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공급사슬 통합의 대상과 유형의 분류에 관한 탐색적 연구 (An exploratory study on the objectives of SC integration and classifying the type of SC integration)

  • 곽수일;문종범;김수욱
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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    • pp.651-657
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    • 2005
  • This study figures out the objectives of supply chain integration and proposes a conceptual framework for classifying the type of supply chain integration in order to help developing supply chain integration strategy. We figure out the objectives of supply chain integration by structural integration and functional integration and then develop a conceptual framework for classifying the type of supply chain integration by combining the clusters of structural integration factors and functional integration factors. Using the framework, a firm would be able to figure out which type of supply chain it belongs to and develop appropriate supply chain integration strategy.

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A Transportation Problem with Uncertain Truck Times and Unit Costs

  • Mou, Deyi;Zhao, Wanlin;Chang, Xiaoding
    • Industrial Engineering and Management Systems
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    • 제12권1호
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    • pp.30-35
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    • 2013
  • Motivated by the emergency scheduling in a transportation network, this paper considers a transportation problem, in which, the truck times and transportation costs are assumed as uncertain variables. To meet the demand in the practical applications, two optimization objectives are considered, one is the total costs and another is the completion times. And then, a multi-objective optimization model is developed according to the situation in applications. Because there are commensurability and conflicting between the two objectives commonly, a solution does not necessarily exist that is best with respective to the two objectives. Therefore, the problem is reduced to a single objective model, which is an uncertain programming with a chance-constrain. After some analysis, its equivalent deterministic form is obtained, which is a nonlinear programming. Based on a stepwise optimization strategy, a solution method is developed to solve the problem. Finally, the computational results are provided to demonstrate the effectiveness of our model and algorithm.

A Security Metrics Taxonomization Model for Software-Intensive Systems

  • Savola, Reijo M.
    • Journal of Information Processing Systems
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    • 제5권4호
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    • pp.197-206
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    • 2009
  • We introduce a novel high-level security metrics objective taxonomization model for software- intensive systems. The model systematizes and organizes security metrics development activities. It focuses on the security level and security performance of technical systems while taking into account the alignment of metrics objectives with different business and other management goals. The model emphasizes the roles of security-enforcing mechanisms, the overall security quality of the system under investigation, and secure system lifecycle, project and business management. Security correctness, effectiveness and efficiency are seen as the fundamental measurement objectives, determining the directions for more detailed security metrics development. Integration of the proposed model with riskdriven security metrics development approaches is also discussed.

다목적 최적화 기반 구조물 수명관리의 효율적 의사결정을 위한 목적감소 기법의 적용 (Objective Reduction Approach for Efficient Decision Making of Multi-Objective Optimum Service Life Management)

  • 김선용
    • 한국산학기술학회논문지
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    • 제18권2호
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    • pp.254-260
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    • 2017
  • 사회기반시설물은 적절한 수명관리를 통해 경제적이고 안전한 구조성능을 유지한다. 일반적으로 최적화 기법을 적용하여, 유지보수의 시점과 방법을 결정하게 되는데, 이 적용에 있어서 단일 목적함수만을 고려하기 보다는 다수의 목적함수를 동시에 고려하는 것이 보다 합리적인 의사결정을 유도한다. 최근까지 수명관리에 관련한 연구는 생애주기 비용 최소화 또는 구조성능 최대화와 관련한 목적함수를 적용하여 왔으며, 새로운 확률론적 구조성능 및 안전성 평가 기법을 이용하여 다양한 형태의 목적함수를 개발/적용하고 있다. 이러한 다수의 목적함수를 동시에 고려하는 다목적 최적화 기반 사회기반시설물 수명관리가 최근 국내외에서 많이 적용되고 있다. 하지만, 수명관리 최적화를 위한 목적함수의 개수가 증가함에 따라 신뢰성있는 결과를 얻기 위해서는 많은 계산시간이 소요되며, 특히 확률론적 계산을 위한 시뮬레이션 기법이 적용되는 목적함수의 경우 계산시간은 더욱 증가하게 된다. 또한, 목적함수의 개수 증가에 따라 계산결과의 차수가 증가하기 때문에 이를 시각화하고 나아가 의사결정에 어려움이 발생한다. 따라서, 본 논문에서는 다목적 최적화 문제의 계산된 결과를 바탕으로 한 의사결정의 효율성 향상을 위해 최소 필수 목적함수를 구별하는 목적감소 기법을 적용하여 콘크리트 교량 상판의 수명관리에 대한 연구를 수행하였으며, 최초 4개의 목적함수가 2개까지 감소되는 결과를 보여준다.

Abstracted Meta-model for Effective Capabilities Portfolio Management (CPM)

  • Lee, Joongyoon;Yoon, Taehoon;Park, Youngwon
    • 시스템엔지니어링학술지
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    • 제7권1호
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    • pp.31-41
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    • 2011
  • The purpose of this paper is to provide an abstracted meta-model for executing Capabilities Portfolio Management (CPM) effectively based on DoDAF2.0. The purpose of developing an architecture is for beneficial use of it. A good set of architectural artifacts facilitates the manipulation and use of them in meeting its usage objectives well. Systems engineering methodologies evolve to accommodate or to deal with enterprise or SoS/FoS level problems. And DoD's Capabilities Portfolio Management (CPM) is a good example which demonstrates enterprise or SoS level problems. However, the complexity of the architecture framework makes it difficult to develop and use the architecture models and their associated artifacts. DoDAF states that it was established to guide the development of architectures and to satisfy the demands of a structured, repeatable method for evaluating alternatives which add value to decisions and management practices. One of the objectives of DoDAF2.0 is to define concepts and models usable in CPM which is one of DoD's six core processes. However, DoDAF and various guidelines state requirements for CPM rather than how to. This paper provides methodology for CPM which includes process and tailored meta-models based on DoDAF Meta Model (DM2).

THE CLASSIFICATION SYSTEM OF RIVER HEALTH FOR THE ENVIRONMENTAL WATER QUALITY MANAGEMENT

  • Carolyn G. Palmer;Jang, Suk-Hwan
    • Water Engineering Research
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    • 제3권4호
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    • pp.259-267
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    • 2002
  • South Africa has developed a policy and law that calls and provides for the equitable and sustainable use of water resources. Sustainable resource use is dependent on effective resource protection. Rivers are the most important freshwater resources in the country, and there is a focus on developing and applying methods to quantify what rivers need in terms of flow and water quality. These quantified and descriptive objectives are then related to specified levels of ecological health in a classification system. This paper provides an overview of an integrated and systematic methodology, where, fer each river, and each river reach, the natural condition and the present ecological condition are described, and a level/class of ecosystem health is selected. The class will define long term management goals. This procedure requires each ecosystem component to be quantified, starting with the abiotic template. A modified flow regime is modelled for each ecosystem health class, and the resultant fluvial geomorphology and hydraulic habitats are described. Then the water chemistry is described, and the water quality changes that are likely to occur as a consequence of altered flows are predicted. Finally, the responses to the stress imposed on the biota (fish, invertebrates and vegetation) by modified flow and water quality are predicted. All of the predicted responses are translated into descriptive and/or quantitative management objectives. The paper concludes with the recognition of active method development, and the enormous challenge of applying the methods, implementing the law, and achieving river protection and sustainable resource-use.

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간호사의 목표관리(MBO)에 대한 인식과 간호조직의 유효성 (Perception of Management by Objectives and Organizational Effectiveness among Clinical Nurses)

  • 신을숙;안성희
    • 간호행정학회지
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    • 제14권3호
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    • pp.278-286
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    • 2008
  • Purpose: It is a descriptive study to analyze correlation between the perception of management by objectives(MBO) and organizational effectiveness among clinical nurses. Methods: The subjects were 315 nurses at two hospitals (A and B) of C university, who have had more than 3.5 years of nursing experience. The survey instrument included two major concepts, perception of MBO (29 items) and organizational effectiveness, which has three sub-concepts, job satisfaction (18 items), organizational commitment (12 items), and motivation (20 items). The data analyses included t-test, ANOVA, Scheffe test, Pearson's correlation coefficients, and Stepwise multiple regression. Result: The mean score of the perception of MBO was 3.13 out of 5. In organizational effectiveness, job satisfaction was 3.09, organizational commitment 3.25, and motivation 3.38. The perception of MBO had significantly positive correlation with job satisfaction(r=.71), organizational commitment(r=.65) and motivation (r=.61). The perception of MBO explained 50.4%, 42.4%, and 37.1% for job satisfaction, organizational commitment, and motivation respectively. Conclusions: The results show that the MBO affected the organizational effectiveness, and the MBO serves as a useful system to improve the organizational effectiveness in a nursing department.

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An Integer Programming Formulation for Outpatient Scheduling with Patient Preference

  • Wang, Jin;Fung, Richard Y.K.
    • Industrial Engineering and Management Systems
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    • 제13권2호
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    • pp.193-202
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    • 2014
  • Patients' satisfaction while receiving medical service is affected by whether or not their preferences can be met, including time and physician preference. Due to scarcity of medical resource in China, efficient use of available resources is urgently required. To guarantee the utilization ratio, the scheduling decisions are made after all booking information is received. Two integer models with different objectives are formulated separately, maximizing the degree of satisfaction and revenue. The optimal value of the two models can be considered as the bound of corresponding objectives. However, it is improper to implement any of the extreme policies. Because revenue is a key element to keep the hospital running and satisfaction degree is related to the hospital's reputation, neither the revenue nor the satisfaction can be missed. Therefore, hospitals should make a balance. An integrated model is developed to find out the tradeoff between the two objectives. The whole degree of mismatching that is related to patient satisfaction and other separate mismatching degree are considered. Through a computational study, it is concluded that based on the proposed model hospitals can make their decisions according to service requirement.

Congestion Management in Deregulated Power System by Optimal Choice and Allocation of FACTS Controllers Using Multi-Objective Genetic Algorithm

  • Reddy, S. Surender;Kumari, M. Sailaja;Sydulu, M.
    • Journal of Electrical Engineering and Technology
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    • 제4권4호
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    • pp.467-475
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    • 2009
  • Congestion management is one of the technical challenges in power system deregulation. This paper presents single objective and multi-objective optimization approaches for optimal choice, location and size of Static Var Compensators (SVC) and Thyristor Controlled Series Capacitors (TCSC) in deregulated power system to improve branch loading (minimize congestion), improve voltage stability and reduce line losses. Though FACTS controllers offer many advantages, their installation cost is very high. Hence Independent System Operator (ISO) has to locate them optimally to satisfy a desired objective. This paper presents optimal location of FACTS controllers considering branch loading (BL), voltage stability (VS) and loss minimization (LM) as objectives at once using GA. It is observed that the locations that are most favorable with respect to one objective are not suitable locations with respect to other two objectives. Later these competing objectives are optimized simultaneously considering two and three objectives at a time using multi-objective Strength Pareto Evolutionary Algorithms (SPEA). The developed algorithms are tested on IEEE 30 bus system. Various cases like i) uniform line loading ii) line outage iii) bilateral and multilateral transactions between source and sink nodes have been considered to create congestion in the system. The developed algorithms show effective locations for all the cases considered for both single and multiobjective optimization studies.

Off-line Multicritera Optimization of Creep Feed Ceramic Grinding Process

  • Chen Ming-Kuen
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 1998년도 The 12th Asia Quality Management Symposium* Total Quality Management for Restoring Competitiveness
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    • pp.680-695
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    • 1998
  • The objective of this study is to optimize the responses of the creep feed ceramic grinding process simultaneously by an off-1ine multicriteria optimization methodology. The responses considered as objectives are material removal rate, flexural strength, normal grinding force, workpiece surface roughness and grinder power. Alumina material was ground by the creep feed grinding mode using superabrasive grinding wheels. The process variables optimized for the above objectives include grinding wheel specification, such as bond type, mesh size, and grit concentration, and grinding process parameters, such as depth of cut and feed rate. A weighting method transforms the multi-objective problem into a single-objective programming format and then, by parametric variation of weights, the set of non-dominated optimum solutions are obtained. Finally, the multi-objective optimization methodology was tested by a sensitivity analysis to check the stability of the model.

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