• Journal of Korean Society for Quality Management
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• v.30 no.2
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• pp.1-10
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• 2002

A performance evaluation model of an R&D module in the quality management system for M Company Is constructed using QFD. The company produces telecommunication devices and employs the performance evaluation model based on ISO 9000 family. However, the model has some problems, one of them is that all check items are regarded as equally important Customer requirements are gathered from internal customers and QFD is utilized to obtain weights for each check item.

• Journal of the Korea Safety Management & Science
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• v.6 no.1
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• pp.147-155
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• 2004

The goal of this paper is to offer a quantitative decision model using Quality Function Deployment(QFD). We consider the factors outsourcing that affect the benefits of the organization and the fifth alternatives that were selected to be considered for outsourcing as customer requirements and technical attributes in QFD. For selecting the outsourcing system, we compute the priority considering interdependencies among alternatives. Thus this paper propose a decision model, which uses the quality function deployment to help practitioners set priority and users in structuring the outsourcing problems.

• Industrial Engineering and Management Systems
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• v.7 no.2
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• pp.93-100
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• 2008

Quality function deployment (QFD) provides a specific approach for ensuring quality throughout each stage of the product development and production process. Since the focus of QFD is placed on the early stage of product development, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results are likely to be misleading. It is necessary to equip practitioners with a new QFD methodology that can model, analyze, and dampen the effects of the uncertainty and variability in a systematic manner. Robust QFD is an extended version of QFD methodology, which is robust to the uncertainty of the input information and the resulting variability of the QFD output. This paper discusses recent research issues in Robust QFD. The major issues are related with the determination of overall priority, robustness evaluation, robust prioritization, and web-based Robust QFD optimizer. Our recent research results on the issues are presented, and some of future research topics are suggested.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.112-127
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• 2006

How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization's products and services. This paper takes Quality Function Deployment (QFD) as a useful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization's quality performance and get the Quality Performance Score (QPS) by self-assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four-phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.821-842
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• 2018

Purpose: To derive key requirements and key technologies for weapon system acquisition business by using Qualify Function Deployment (QFD), and to reduce business cost by setting the target performance and key expense of weapon system. Methods: We propose a QFD methodology that can induce rational decision-making by translating analyst's subjective opinions into quantitative values when analyzing requirements at the initial stage of weapon system development project. Based on QFD methodology, QFD application model combining house of quality, value engineering, and analogy cost estimating technique is presented. Results: It was possible to analyze the specific requirements necessary for the development of the weapon system, to solve the communication problem of the participants, to set clear development direction and target. Conclusion: By applying the QFD application model at the early stage of the weapon system acquisition project, it is possible to reduce the business cost by establishing clear development direction and goal through the procedural analysis process.

• Korean Management Science Review
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• v.33 no.2
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• pp.75-87
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• 2016

Quality function deployment (QFD) is a widely adopted customer-oriented product development methodology by analyzing customer requirements. It is a main activity in QFD planning process to determine the optimal values of the technical attributes (TAs) so as to achieve the customer requirements (CRs) from the House of Quality (HoQ). In most of the previous research, all the TAs in QFD are assumed to have either continuous or discrete values. In the real world applications, the continuous TAs and the discrete TAs are often mixed in QFD. In this paper, a mixed integer linear programming model is formulated to obtain the optimal values for the continuous TAs and the discrete TAs in QFD planning as well as Branch and Bound (B and B) algorithm is proposed as the solution approach. Finally, the proposed model and solution approach are illustrated with an office chair under multi-segment market, and the sensitivity analysis is performed to study how the proposed model and its solutions respond to the variation for the two elements which are budget and CRs' weights.

• Proceedings of Korean Society of Archives and Records Management
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• 2019.05a
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• pp.35-41
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• 2019

Providing efficient recording information services has become vital in a utilization-oriented records management environment and further increasing the importance of the quality of the services offered. This study is a preliminary study to propose improvement measures by applying Quality Function Development (QFD), a quality control method, to the National Archives of Korea (NAK) and Records Information Service. The quality dimensions of the recording information service were analyzed, and specific user requirements were derived. Through this process, the user requirements' questionnaire was developed, reflecting the characteristics of the NAK, and the application model of QFD was designed based on its prior study. Based on the QFD application model proposed, the results obtained by performing the QFD step by step can be expressed in House of Quality (HoQ), which can be used as a basis for service design.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.3-12
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• 2019

VE analysis is a method to secure definite functions and performance by defining user's various requirements clearly and propose alternatives to reduce cost. However, the present domestic VE project has difficulty in defining design function analysis clearly due to time constraints as well as difficulty in effective and efficient communication between project stakeholder. Domestic results of VE were largely focused on reducing cost while maintaining the functions of the existing facility. Therefore, this study aims to secure the optimal functions for users according to the original intent of user requirements through QFD-VE model which project VE participants can make collective and cooperative decision making. QFD-VE is a technique that first, it can make collaborative decision making in defining and modifying of design function and setting the importance of requirement function. Second, it allow project VE participants to check design interference and conflict between neighbor systems. This study also provided a mathematical model for implementing the computer system using QFD-VE in the future.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.101-122
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• 2003

With the development of the American Customer satisfaction index (ACSI), research on customer satisfaction measurement or evaluation methods have become significant in the last decade. Most of international customer satisfaction barometers or indices are evolved based on the cause and effect relationship model of ACSI. Of critical importance to validity of customer satisfaction indices is how to construct a measurement attribute or indicator model and provide an effective implementation method effectively. Quality Function Deployment (QFD) is a very useful tool for translating the customer voice into product design through quality engineering. In fact, this is a methodology for measuring and analyzing evaluation indicators by their relationship matrix. In this paper, we will make an effort to integrate the framework of QFD into the measurement problem of customer satisfaction, and also develop a new multi-phase QFD model for evaluation of Customer Satisfaction Index (CSI). From the houses of quality in this model, the evaluation indicators impacting on customer's global satisfaction are identified by means of their relationship matrix. Then the evaluation indicator hierarchy and its measurement method for the customer satisfaction index are presented graphically. Furthermore, survey data from the Chinese automobile maintenance sector and a relevant case study are utilized to show the implementation method of the QFD model used to measure and analyze of customer satisfaction.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.566-573
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• 2005

Quality function deployment (QFD) is a useful tool for ensuring quality throughout each stage of the product development and production process. Since the focus of QFD is placed on the early stage, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results are likely to be misleading. This paper classifies the sources of uncertainty in QFD, and proposes a new approach to model and analyze the effects of uncertainty in QFD.