• Title/Summary/Keyword: Management methods

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Flexible Mixed decomposition Method for Large Scale Linear Programs: -Integration of a Network of Process Models-

  • Ahn, Byong-Hun;Rhee, Seung-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.11 no.2
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    • pp.37-50
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    • 1986
  • In combining dispersed optimization models, either primal or dual(or both) decomposition method widely used as an organizing device. Interpreting the methods economically, the concepts of price and resource-directive coordination are generally well accepted. Most of deomposition/ integration methods utilize either primal information of dual information, not both, from subsystems, while some authors have developed mixed decomposition approaches employing two master problems dealing primal and dual proposals separately. In this paper a hybrid decomposition method is introduced, where one hybrid master problem utilizes the underlying relationships between primal and dual information from each subsystem. The suggested method is well justified with respect to the flexibility in information flow pattern choice (some prices and other quantities) and to the compatibility of subdivision's optimum to the systemwide optimum, that is often lacking in conventional decomposition methods such as Dantzig-Wolfe's. A numerical example is also presented to illustrate the suggested approach.

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Validation Measures of Bicluster Solutions

  • Lee, Young-Rok;Lee, Jeong-Hwa;Jun, Chi-Hyuck
    • Industrial Engineering and Management Systems
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    • v.8 no.2
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    • pp.101-108
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    • 2009
  • Biclustering is a method to extract subsets of objects and features from a dataset which are characterized in some way. In contrast to traditional clustering algorithms which group objects similar in a whole feature set, biclustering methods find groups of objects which have similar values or patterns in some features. Both in clustering and biclustering, validating how much the result is informative or reliable is a very important task. Whereas validation methods of cluster solutions have been studied actively, there are only few measures to validate bicluster solutions. Furthermore, the existing validation methods of bicluster solutions have some critical problems to be used in general cases. In this paper, we review several well-known validation measures for cluster and bicluster solutions and discuss their limitations. Then, we propose several improved validation indices as modified versions of existing ones.

Literature Review on the Statistical Methods in KSQM for 50 Years (품질경영학회 50주년 특별호: 통계적 기법 분야 연구 리뷰)

  • Lim, Yong Bin;Kim, Sang Ik;Lee, Sang Bok;Jang, Dae Heung
    • Journal of Korean Society for Quality Management
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    • v.44 no.2
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    • pp.221-244
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    • 2016
  • Purpose: This research reviews the papers, published in the Journal of the Korean Society for Quality Control (KSQC) and the Journal of the Korean Society for Quality Management (KSQM) since 1965, in the area of statistical methods. The literature review is performed in the four fields of the statistical methods and we categorize the published articles into the several sub-areas in each field. Methods: The reviewed articles are classified into the four main categories: probability model and estimation, Bayesian analysis and non-parametric analysis, regression and time series analysis, and application of data analysis. We examine the contents and relationships of the published articles of the several sub-areas in each category. Results: We summarize the reviewed papers in the chronological road-maps for each sub-area, and outline the relations of the connected papers. Some comments on the contents and the contributions of the reviewed papers are also provided in this paper. Conclusion: Various issues are employed and published on the research of the application statistical methods for past 50 years, and many worthy works are achieved in the theory and application areas of statistical methods for improving quality in the manufacturing and service industries. The future direction of the research in the statistical quality management methods also can be explored by the contents of this research.

Study on The Regulation on Poisonous Medicinal Herbs (독성 한약재의 법적 규제에 관한 연구)

  • Kweon, Kee-Tae
    • The Korean Society of Law and Medicine
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    • v.11 no.1
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    • pp.271-296
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    • 2010
  • Objective: Poisonous Medicinal herbs can be considered as a risk factor to public health unless they are prescribed by Doctor of traditional Korean medicine. The proper method to manage them should be prepared to prevent risk factors caused by misuse and abuse of the poisonous medicinal herbs and enhance public health. Methods: In this dissertation (paper), the definition, scope, management status, data about pharmacology and toxicity and media release regarding adverse reaction were understood after organizing documents, laws and regulations concerning poisonous medicinal herbs. Also, management methods are suggested by analyzing related examples and regulations in China, Japan and Hong Kong, where the use of herbal medicine is general. Results: Methods for items for poisonous medicinal herbs, safety information management, management based on standardization of traditional processing methodology and reorganization and revision of related laws and regulations are established. Conclusion: Proper laws and regulations are not yet established to manage poisonous medicinal herbs in Korea. In this regard, it is urgent to establish laws and regulations which can apply independently. The purpose of the laws and regulations should be to enhance management of poisonous medicinal herbs and prevent incidence of addiction and death, improving the public health.

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Key Technologies for Building Information Modeling (BIM) (건축물 수명주기 관리를 위한 핵심기술들)

  • Lee, Ghang
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.145-149
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    • 2006
  • Building Information Modeling (BIM) is the process of integrating and re-using information generated and used throughout the lifecycle of a building. BIM may not be very different from other management methods in that it aims to minimize the economic loss and maximize the profit by designing, building, and maintaining a building better, faster, yet cheaper. The major difference between BIM and other methods is that BIM approaches the goal from a system point of view whereas other methods generally approaches the goal from a business management point of view. Since a project cannot succeed without considering both systematic and managerial aspects of a project, the line has been blurred these days. This paper explores a historical background of BIM and discusses the key technologies for successful implementation of BIM.

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The Nutrition Assessment and Care for the Elderly in Japan

  • Sugiyama, Michiko;Nishimura, Akio;Koyama, Hideo
    • Journal of Community Nutrition
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    • v.2 no.1
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    • pp.12-26
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    • 2000
  • In Japan, a new nursing insurance system was enforced in April 2000, where premiums were paid according to the level of necessary care. Our project, Nutrition Care and Management(NCM) for the elderly was started in 1995, funded by the Ministry of Health and Welfare of Japan. The NCM project was to provide appropriate nutrition care for the elderly and to see that it effectively functions as part of the health care services. There were 4 stages to the project : the first stage was to find out the PEM status among the elderly patients in hospital and home-care settings in Japan. The 2nd stage was to develop and evaluate nutritional assessment methods, anthropometry, resting energy expenditure measuring methods using of portable indirect calorimeter, and the convenient protein energy intake assessment methods, etc. for the elderly patients with PEM risk. The 3rd stage was to examine the effectiveness of the nutrition care plan induced of protein energy supplement and team care in improving nutrition among the elderly patients. The last stage was to develop the NCM set for the elderly patient based on the past three years of scientific evidence. it is expected that the NCM system for the elderly will provide adequate nutritional care management, improve the elderly care environment and create effective resource management.

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Exploring Reliability of Wood-Plastic Composites: Stiffness and Flexural Strengths

  • Perhac, Diane G.;Young, Timothy M.;Guess, Frank M.;Leon, Ramon V.
    • International Journal of Reliability and Applications
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    • v.8 no.2
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    • pp.153-173
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    • 2007
  • Wood-plastic composites (WPC) are gaining market share in the building industry because of durability/maintenance advantages of WPC over traditional wood products and because of the removal of chromated copper arsenate (CCA) pressure-treated wood from the market. In order to ensure continued market share growth, WPC manufacturers need greater focus on reliability, quality, and cost. The reliability methods outlined in this paper can be used to improve the quality of WPC and lower manufacturing costs by reducing raw material inputs and minimizing WPC waste. Statistical methods are described for analyzing stiffness (tangent modulus of elasticity: MOE) and flexural strength (modulus of rupture: MOR) test results on sampled WPC panels. Descriptive statistics, graphs, and reliability plots from these test data are presented and interpreted. Sources of variability in the MOE and MOR of WPC are suggested. The methods outlined may directly benefit WPC manufacturers through a better understanding of strength and stiffness measures, which can lead to process improvements and, ultimately, a superior WPC product with improved reliability, thereby creating greater customer satisfaction.

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PRACTICAL APPROACHES TO RISK MANAGEMENT FOR GLOBAL CONTRACTORS

  • Seung Heon Han;Du Yon Kim;Han Him Kim
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1231-1236
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    • 2005
  • Global construction projects manifest more risks than do other industries. Often, firms doing business in construction markets find these risks intimidating. To secure corresponding profits, many global contractors attempt to forecast the effects of risks and establish risk management strategies. However, one key problem with present-day risk management methods is that they are basically analytical or mathematical-oriented approaches which are not easy to adopt in real business. Based on preliminary investigations and evaluations of current tools, this research elicits more practical algorithms for risk checklist by constructing risk scenarios over the whole period of project execution. For the application of the algorithms, a "SE/RF" (Source-Event/Regular-Floating) checklist is suggested, which sorts out risk sources and their subsequent events, as well as dividing various risk factors into either regular or floating categories. In addition, the "PIS" (Probability-Impact-Significance) method is introduced, in place of traditional "PI" (Probability-Impact) methods, by adding the additional criterion of "risk significance" to determine the degree of risk exposure in a more realistic way. As a result, we draw the significant finding that the "PIS" method presents a closer evaluation regarding degree of risk exposure as compared to the level of expert judgments than those from traditional methods. Finally, we provide an integrated procedure for international project risk management with all of the research achievements being incorporated.

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Safety Critical I&C Component Inventory Management Method for Nuclear Power Plant using Linear Data Analysis Technic

  • Jung, Jae Cheon;Kim, Haek Yun
    • Journal of the Korean Society of Systems Engineering
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    • v.16 no.1
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    • pp.84-97
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    • 2020
  • This paper aims to develop an optimized inventory management method for safety critical Instrument and Control (I&C) components. In this regard, the paper focuses on estimating the consumption rate of I&C components using demand forecasting methods. The target component for this paper is the Foxboro SPEC-200 controller. This component was chosen because it has highest consumption rate among the safety critical I&C components in Korean OPR-1000 NPPs. Three analytical methods were chosen in order to develop the demand forecasting methods; Poisson, Generalized Linear Model (GLM) and Bootstrapping. The results show that the GLM gives better accuracy than the other analytical methods. This is because the GLM considers the maintenance level of the component by discriminating between corrective and preventive.

Integrating Real Options with Earned Value methods as a decision support tool for the financial evaluation of alternative construction methods

  • Bonsang Koo
    • International conference on construction engineering and project management
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    • 2013.01a
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    • pp.129-132
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    • 2013
  • Determining on a particular construction method is typically decided in the initial phases of a project. However, changing conditions during actual construction may require a different method or technology to be employed. Providing an option for project managers to change construction provides flexibility that can increase value to the overall project. This research provides the ability to modify construction methods as a real option, which allows its value to be modeled. The research also formalizes a way to integrate a binomial lattice model with the Earned Value Method's S-curve. The integrated model provides a decision support tool that planners can use to determine whether to exercise the option depending on the status metrics provided by EVM.

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