• 한국IT서비스학회:학술대회논문집
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• 2010.05a
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• pp.59-67
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• 2010

U-Services(Ubiquitous Services)는 최근 성공적인 U-City의 구축에 있어서 핵심적인 요소로 주 목 받고 있다. U-City라는 개념은 현재 한 도시의 통신과 인프라의 통합 관리라는 차원에서 주로 접근되고 있는 실정이나, 궁극적으로는 한 도시의 사용자들인 시민들에게 어떠한 가치를 돌려주고, 이를 어떻게 지속 할 수 있을지에 대한 의문이 지속적으로 제기되고 있다. 도시의 사용자인 시민과 입주기관들에게 어떠한 '가치'를 제공할 수 있는지에 대하여 고민하는 과정으로써, 본 연구 에서는 소요 기술, 활용 인터페이스, 구현되는 공간, 그리고 제공하는 컨텐츠에 따라 정의할 수 있는 방법론을 제시한다. 또한, 제조업에서 주로 활용되던 QFD(Quality Function Deployment - 하나의 제품을 개발하는 과정에서 요구되는 기능이나 속성을 규정하기 위한 Analytic Hierarchy Process framework)를 도시 설계로 적용하여 SVD (Service-Value Deployment method)라는 방법론으로 제시하고 있다.

• Journal of the Korea Institute of Building Construction
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• v.23 no.4
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• pp.417-428
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• 2023

The demolition of domestic infrastructures mirrors other significant construction initiatives in presenting a markedly high accident rate. A comprehensive investigation into the origins of such accidents is crucial for the prevention of future incidents. Upon detailed inspection, the causes of demolition construction accidents are multifarious, encompassing unsafe worker behavior, hazardous conditions, psychological and physical states, and site management deficiencies. While statistics relating to demolition construction accidents are consistently collated and reported, there exists an exigent need for a more foundational cause categorization system based on accident type. Drawing from Heinrich's Domino Theory, this study classifies the origins of accidents(unsafe behavior, unsafe conditions) and human errors(human factors) as per the type of accidents experienced during demolition construction. In this study, a three-step model of QFD-FMEA(Quality Function Deployment - Failure Mode Effect Analysis) is employed to systematically categorize accident causes according to the types of accidents that occur during demolition construction. The QFD-FMEA method offers a technique for cause classification at each stage of the demolition process, including direct causes(unsafe behavior, unsafe environment), and human errors(human factors) through a tri-stage process. The results of this accident cause classification can serve as safety knowledge and reference checklists for accident prevention efforts.

• Journal of Korean Society for Quality Management
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• v.36 no.3
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• pp.1-12
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• 2008

Obtaining the accurate final importance of each customer attribute (CA) is very important in the house of quality(HOQ), because it is deployed to the quality of the final product or service through the quality function deployment(QFD). The final importance is often calculated by the multiplication of the relative importance rate and the competitive priority rate. Traditionally, the sample mean is used for estimating two rates but the dispersion is ignored. This paper proposes a new approach that incorporates statistical significance to consider the dispersion of rates in determining the final importance of CA. The approach is illustrated with a design of car door for each case of crisp and fuzzy numbers.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1522-1534
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• 2008

The subjects of ttis study were middle-aged women in their 40s$\sim$50s and older women aged 60 and over who were living in Seoul and Kyonggi-do, Korea. Through studying the participants' responses to the questions regarding the attributes of image preference in terms of the levels of satisfaction and importance, the target consumers' demand has been studied. And, they are applied to a QFD Matrix, to find out the relationship between the attributes of product quality and the guidelines of clothing design. For this study, clothing image preference is categorized as three types: fashionable and urbane image, elegant and formal image, comfortable and active image. It has also been found that middle-aged and older women think the clothing that projects fashionable and urbane image needs more improvement that those for other images. To review demands for the clothing image preference attribute of formal suits for middle-aged and older women, the priority of these attributes through QFD Matrix that shows the relationship between the attributes and dress elements emphasized by designers has been examined. In reflecting clothing image preference by consumers for their formal two-piece suits, the most important design elements related to material in order of importance were material type, style, thickness and texture, and those related to color were the number of colors used and coloring type.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.6
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• pp.109-123
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• 2016

This study investigates the importance of government's support for logistics security assurance through certification programs. First, the study analyzed priorities among the requirements of logistics firms through Analytic Hierarchy Process(AHP) and Quality Function Deployment(QFD) approaches. For this process we invited 21 logistics experts to assess the relationships between logistic firms' requirements and government policies regarding logistics security using the house of quality, a set of matrices of QFD. The results of this phase of the study revealed the priorities of logistics firms' goals regarding the diffusion of the government security certification program as follows: integrated logistics security systems(40.3%), strengthening government support systems(32.4%), and operational effectiveness of logistics security certification(27.2%). Second, a relative weights applied QFD method based on AHP was applied to determined the expected outcome of the logistics security certification program. The results indicated as follows: productivity improvement(28.4%), improved level of service(26.7%), logistics cost reduction(21.6%), advanced information systems(19.7%), and improved environmental protection(3.6%). The results of this study provide new insights concerning logistics firms' requirements for supply chain security and the importance of government's support policies through logistics security certification programs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.50-63
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• 2021

There has been a steady rate of accident in Coal Thermal Power Plants which have relatively higher chance of mortality. However, neither the systematic view of safety management nor the methodology such as safety factors or system requirements are yet to be studied in detail. Therefore, this study aims to propose a methodology to preemptively deal with safety issues and to secure fact focused responsibility in safety. It consists of two main parts. First, the Safety Measurement Index(SMI) with total 50 factors is proposed by analyzing the key factors that contribute to safety accidents based on failure mode and effect analysis (FMEA) and quality function deployment (QFD). To analyze the safety requirements, index presented by major countries and organizations are discussed. Second, main features of intelligent CCTV are studied to determine their relative importance for the framework of Smart Safety Management System (SSMS). Main features are discussed with four technological steps. Also, QFD was held to analyze to analyze how key technologies deal with Quality Measurement Index(QMI). The research results of this study reveal that scientific approaches could be utilized in integrating CCTV technologies into a smart safety management system in the era of Industry 4.0. Moreover, this reasearch provides an specific approach or methodology for dealing with safety management in Coal Thermal Power Plant.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.451-466
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• 2016

Purpose: This study was to identify customers' demands in railway services system and then to seek the way to satisfy the customer expectations. Methods: We suggest a Quality Function Deployment(QFD)-based approach comprised of three stages. In first stage, SERVPERF survey was carried out to assess current positions of customer expectations in the market. Then, factor analysis was incorporated into SERVPERF to classify customer expectations for the house of quality. In the second stage, the analytic network process was used to prioritize the importance of the customer attributes. Finally, QFD was performed utilizing customer attributes and their weights. Results: The QFD identified the most important customer expectations as: accident prevention, swift reaction to accident, on-time arrivals and departures of the train. It also shows that driving capability, equipment for safety, and training for disaster are the most critical technical requirements. Conclusion: The results are useful for identifying the customers' demands in railway services systems, and they can contribute to the service quality and customer satisfaction.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.325-332
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• 1998

In the context of total quality management, customer satisfaction is a key factor of success. Customer needs have been in the past described with rather vague words. In order to lead in the competitive market, product designers must be willing to interpret and reflect customer perceptions of a product on the design. The objective of this research is to develop a systematic process capable of linking customer preferences on a product to the design of product elements or specifications. The design process consists of multivariate statistical analyses, semantic differentials, and multidimensional scaling techniques under the framework of a methodology known as quality function deployment which is frequently used to construct a quality design process. The process being established is expected to serve as an effective means to communicate between the customer and the designer through proper representational schemes of design elements.

• Journal of Korean Society for Quality Management
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• v.27 no.3
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• pp.142-153
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• 1999

In the context of total quality management, customer satisfaction is a key factor of success. Customer needs have been in the past described with rather vague words. In order to lead in the competitive market, product designers must be willing to interpret and reflect customer perceptions of a product on the design. The objective of this research is to develop a systematic process capable of linking customer preferences on a product to the design of product elements or specifications. The design process consists of multivariate statistical analyses, semantic differentials, and multidimensional scaling techniques under the framework of a methodology known as quality function deployment which is frequently used to construct a quality design process. The process being established is expected to serve as an effective means to communicate between the customer and the designer through proper representational schemes of design elements.

• Proceedings of the KSME Conference
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• 2005.11a
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• pp.204.2-204.2
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• 2005