• 제목/요약/키워드: Management Response

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지방자치단체 재난관리체계 개선에 관한 연구 - 지방자치단체의 재난관리 역할 강화를 중심으로 - (A Study on Improvement of Local Government Disaster Management System in Korea - Focused on Strengthening the Disaster Management Capacity of Local Government -)

  • 홍지완
    • 대한건축학회논문집:계획계
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    • 제34권9호
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    • pp.21-30
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    • 2018
  • This study aims for improving the system in Disaster Management of Local Government. In addition, the overall disaster management system was compared to the effectiveness of the disaster prevention system and reliability, and problems and improvement points were derived. The disaster management system in Korea has a structure that promptly investigates and restores damage by a simple procedure. Korea disaster management system manages information on top-down structural disasters through the flow of prevention, preparation, response, and recovery. The process from disaster response to recovery under the leadership of the central disaster safety headquarters is simplified. Disaster management tasks are dispersed among departments, making it difficult to respond promptly. Under the control of the central government, disaster management, such as disaster prevention, investigation, and recovery, are carried out. The disaster management improvement direction of the local government should establish the disaster response system focusing on the local government. Therefore, it is necessary to have budget to operate the organization - centered disaster management budget and the disaster management organization. The disaster response manual should be prepared considering the disaster environment and disaster prevention plan. In order to utilize disaster information, it is necessary to reorganize information system such as integrate and streamline of the private resource database and NDMS.

다중반응표면최적화를 위한 공정능력함수법에서 최소치최대화 기준의 활용에 관한 연구 (Using the Maximin Criterion in Process Capability Function Approach to Multiple Response Surface Optimization)

  • 정인준
    • 지식경영연구
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    • 제20권3호
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    • pp.39-47
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    • 2019
  • Response surface methodology (RSM) is a group of statistical modeling and optimization methods to improve the quality of design systematically in the quality engineering field. Its final goal is to identify the optimal setting of input variables optimizing a response. RSM is a kind of knowledge management tool since it studies a manufacturing or service process and extracts an important knowledge about it. In a real problem of RSM, it is a quite frequent situation that considers multiple responses simultaneously. To date, many approaches are proposed for solving (i.e., optimizing) a multi-response problem: process capability function approach, desirability function approach, loss function approach, and so on. The process capability function approach first estimates the mean and standard deviation models of each response. Then, it derives an individual process capability function for each response. The overall process capability function is obtained by aggregating the individual process capability function. The optimal setting is given by maximizing the overall process capability function. The existing process capability function methods usually use the arithmetic mean or geometric mean as an aggregation operator. However, these operators do not guarantee the Pareto optimality of their solution. Moreover, they may bring out an unacceptable result in terms of individual process capability function values. In this paper, we propose a maximin-based process capability function method which uses a maximin criterion as an aggregation operator. The proposed method is illustrated through a well-known multiresponse problem.

Human Response Capability and Customer Relationship Management Advantage: The Direct, Indirect, and Interactive Roles of Information Technology Service Application

  • Yang, Yi-Feng;Chen, Ching-Yaw;Lee, Yu-Je;Lee, Shyh-Hwang
    • 동아시아경상학회지
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    • 제2권3호
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    • pp.33-42
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    • 2014
  • The main purpose of this study intends to study the theoretical interconnection between human response capability and customer relationship management advantage while considering the essential role of service application of information technology as direct, indirect (mediating), and interactive (moderating) influences in the theory. Based on the study sample, the new findings help comprehend the overall interconnected relationship which includes the direct and indirect (mediating) effects of information technology service capability and human response capability as well as their interaction (moderation) on customer relationship management advantage. The new insights interprets the two capabilities (human and information technology) are vital to business because they are the foundation set of service resources significantly to enhance customer relationship management advantage.

Response Surface 방법에 의한 보수보강 정량화 모델 (Maintenance Effect Quantification Mode by Response Surface Method)

  • 박승형;김성훈;임종권;박경훈;공정식
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2006년도 정기 학술대회 논문집
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    • pp.557-564
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    • 2006
  • Life-cycle performance and maintaining cost predictions are required for the effective management for bridges. In Korea, the importance of management of bridges has been recognized over the past two decades, resulting in the development of databases and various bridge management support tools by both government and private sectors. However, none of these tools has truly included the expected features of the bridge management system (EMS) for the next generation such as the quantification of the effects of maintenance interventions on bridge condition and safety. In this paper, a novel quantification process to simulate the life-cycle performance of steel box bridges has been developed. The process is based on the Response Surface method. Various performance-related variables aloe investigated to identify a set of significant design variables to construct the response surfaces.

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지각된 서비스품질이 고객반응에 미치는 영향 연구 (A Study on the Effects of Perceived Service Quality on Customer Response -Focusing on the Hotel Industry-)

  • 김희탁;이명식;김장하
    • 품질경영학회지
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    • 제28권4호
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    • pp.75-98
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    • 2000
  • The purpose of this study is to empirically examine the customers' perceived service quality and response in the field of hotel industry. The subjects of survey for this empirical analyses are limited to the customers of deluxe hotels in Korea; data are collected from the 16 deluxe hotels amongst 27 of its kind in the Seoul, Pusan, Cheju and Kyongju area. SAS package is used for Simple Regression, Multiple Regression and the results are as follows: First, the perceived service quality shows significantly positive effect upon the customers' satisfaction; Second, the customers' perceived service quality shows significantly positive with respect to the customers' response; Third, the customers' satisfaction shows significantly positive regarding the customers' response, and the customers' satisfaction have greater influence upon the customers' response than the customers' perceived service quality; On the basis of the above empirical analyses, I propose the management implication as follows: First, the hotel management staffs should have a close relation with their customers through the customers' positive, and eventually be concemed about improving service quality and customers' satisfaction to maximize the enterprise's performance; Second, the hotel management staffs, to induce and build up the positive customers' response, should have interest in serving high-quality products and service and enforcing the proper price policy.

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인공신경망을 이용한 로버스트설계에 관한 연구 (Robust Parameter Design Based on Back Propagation Neural Network)

  • ;김영진
    • 경영과학
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    • 제29권3호
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    • pp.81-89
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    • 2012
  • Since introduced by Vining and Myers in 1990, the concept of dual response approach based on response surface methodology has widely been investigated and adopted for the purpose of robust design. Separately estimating mean and variance responses, dual response approach may take advantages of optimization modeling for finding optimum settings of input factors. Explicitly assuming functional relationship between responses and input factors, however, it may not work well enough especially when the behavior of responses are poorly represented. A sufficient number of experimentations are required to improve the precision of estimations. This study proposes an alternative to dual response approach in which additional experiments are not required. An artificial neural network has been applied to model relationships between responses and input factors. Mean and variance responses correspond to output nodes while input factors are used for input nodes. Training, validating, and testing a neural network with empirical process data, an artificial data based on the neural network may be generated and used to estimate response functions without performing real experimentations. A drug formulation example from pharmaceutical industry has been investigated to demonstrate the procedures and applicability of the proposed approach.

국가차원의 항공안전위기관리 방안 (A Scheme of Crisis Management for National Aviation Safety)

  • 김연명;홍석진;안혁수
    • 대한교통학회지
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    • 제23권5호
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    • pp.27-34
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    • 2005
  • 본 논문은 위기관리체계를 사전적(事前的)인 위험관리와 사후적(事後的)인 비상대응체계로 구분하여, 예방안전과 사고대응의 두 측면에서 국가적인 안전관리를 고찰하였다. 선행연구(홍석진, 2003)에서 선정된 위험인자를 토대로 관제, 공항 분야의 추가적인 위험인자를 보다 광범위한 설문조사 분석을 통해 선정하였으며, 체계적 분석(DEA)에 의해 구축된 중요인자들에 대하여 통계적 접근방법을 통해 위험인자의 중요도, 발생빈도의 분류기준과 위험지표 (Risk Indicator)를 개발하여 위험관리모형을 구축하고, 위험지표를 활용할 수 있는 방안과 위험관리모형을 적용하기 위한 개선안을 제시하였다. 비상대응체계에 있어서는 실제 사고사례분석과 해외의 법체계 고찰을 통해 국내의 개선방안을 도출하여 제시하였다.

Research on disaster management personnel improvement measure of local government

  • Young Ran Kim;JungHyun Kim
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.1-9
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    • 2023
  • The purpose of this study is to examine the disaster management system of local governments by diagnosing the current status of disaster management experts in Korea, deriving problems and improvement measures, and looking at local governments' total labor cost system. The status and status of disaster management personnel were compared and analyzed to find ways to improve the local government's disaster management response system under the Framework Act on Disaster and Safety Management in Korea. Considering Korea's reality, because national security and disaster management exist together, we devised a plan to improve on-site response capabilities and seek solutions by deriving the problems of the currently operating security and safety-related organizations.

A Graphical Method for Evaluating the Effect of Outliers, Missing Observations, and Design Augmentation in the Slope Estimation of Response Surface Designs

  • Jang, Dae-Heung;Park, Sang-Hyun
    • 품질경영학회지
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    • 제19권2호
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    • pp.17-39
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    • 1991
  • In many application of response surface methodology, good estimation of the derivatives of the response function may be as important or perhaps more important than estimation of mean response. Using a graphical method, we have studied the effect of outliers, missing observations, and design augmentation with respect to the slope estimation in the response surf ace designs.

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유해화학물질 관련 대기오염사고 대응을 위한 화학물질사고대응정보시스템 (CARIS) (Chemical Accidents Response Information System(CARIS) for the Response of Atmospheric Dispersion Accidents in association with Hazardous Chemicals)

  • 김철희;박철진;박진호;임차순;김민섭;박춘화;천광수;나진균
    • 환경영향평가
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    • 제12권1호
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    • pp.23-34
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    • 2003
  • The emergency response modeling system CARIS has been developed at CCSM (Center for Chemical Safety Management), NIER (National Institute of Environmental Research) to track and predict dispersion of hazardous chemicals for the environmental decision support in case of accidents at chemical or petroleum companies in Korea. The main objective of CARIS is to support making decision by rapidly providing the key information on the efficient emergency response of hazardous chemical accidents for effective approaches to risk management. In particular, the integrated modeling system in CARIS consisting of a real-time numerical weather forecasting model and air pollution dispersion model is supplemented for the diffusion forecasts of hazardous chemicals, covering a wide range of scales and applications for atmospheric information. In this paper, we introduced the overview of components of CARIS and described the operational modeling system and its configurations of coupling/integration in CARIS. Some examples of the operational modeling system is presented and discussed for the real-time risk assessments of hazardous chemicals.