• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.9
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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.

• Knowledge Management Research
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• v.20 no.3
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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.

• East Asian Journal of Business Economics (EAJBE)
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• v.2 no.3
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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.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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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.

• Journal of Korean Society for Quality Management
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• v.28 no.4
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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.

• Korean Management Science Review
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• v.29 no.3
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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.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.27-34
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• 2005

To develop a crisis management for aviation safety, this study has defined crisis management includes risk management which is eliminates or lowers risks prior to accidents and emergency response after the accidents. A risk management model was developed through wide surveys for aviation hazards including aircraft operation, ATC, and airport operation, etc. The crisis management could not be effective by only using a pre-active risk management. It should also conduct using a pro-active response system. In addition, this study also suggested schemes of development for national emergency response through case studies of aircraft accidents.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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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.

• Journal of Korean Society for Quality Management
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• v.19 no.2
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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.

• Journal of Environmental Impact Assessment
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• v.12 no.1
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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.