• Journal of Korean Society for Quality Management
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• v.46 no.2
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• pp.193-210
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• 2018

Purpose: The purpose of this study is to escape from the existing defense quality policy focused on government-led quality assurance for mass-produced items and to secure quality reliability of weapon systems through a defense quality policy paradigm shift based on designing a verification systems anchored on reliability through the enhancement of military supply quality control in the development stage, the enhancement of quality responsibility of the manufacturing contractor and other methods. Methods: For the shift to the quality-based defense quality policy, the status and the problems of the status quo are analyzed and the direction of future defense quality policy is suggested based on literature review of the concept of reliability and reliability in the field of defense, on case studies of global corporations and their quality policies, on the background on quality assurance in defense, and on case studies of quality policies in other government organizations, Results: Based on the case studies of quality policies in global corporations and other government agencies, the importance of preventive quality control from the early development stages, quality control based on the reliability of the materials and parts, and shift of the quality policy to a certification system to achieve these objectives were highlighted. Conclusion: To secure reliability of weapon system quality, the quality policy must be shifted to a system focused on reliability-based design and verification and there is a further need to enhance the operational efficiency and capacity of DTaQ based on studies and evaluation of weapon system reliability.

• Journal of Community Nutrition
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• v.8 no.3
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• pp.153-159
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• 2006

The current exploratory study investigates and compares the perceptions of the service quality of in-flight meals through the evaluation of recent consumers (within 2 weeks) of services provided by Korean and foreign-based airlines. Twenty (20) items for measuring service quality were categorized into three factor dimensions of 'food quality', 'employee service', and 'professionalism'. Among these, 'employee service' was rated highest by Korean and foreign-based airlines. When items representing each service quality dimension were analyzed and compared, only the 'food quality' dimension of Korean-based airlines was perceived higher than that of other foreign-based airlines. Findings also revealed a spectrum with some items with higher or lower mean values within each service quality dimension. Results of this study can expectedly be used to benefit both from a theoretical and practical point of view by providing empirical data that measure the service quality of in-flight meal service.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1453-1462
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• 2009

It is very important for performance of information system that we make an effort to raise user's satisfaction by continuously grasping user's requirement by evaluation of PMIS based on ASP service quality and reflecting this to information system. However, It is lack that developments of suitable evaluation index of PMIS based on ASP service quality. Hereupon, In this study, we propose the evaluation indicators. First, The evaluation area is classified by form the foundation of D & M IS Success Model (2003); system quality, information quality, service quality. Second, The detail evaluation item which include considerations which are gotten through investigation of the construction industry and PMIS based on ASP is grouping by form the foundation SERVQUAL which is a service quality evaluation tool proposed PZB(1988). It is suitable to evaluate PMIS based on ASP service quality in construction industry and able to evaluate various aspects.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.109-122
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• 2023

As platforms become primary decision making tools, platforms for decision have been introduced to improve quality of decision results. Because, decision platforms applied augmented decision-making process which uses experiences and feedback of users. This process creates a variety of alternatives tailored for users' abilities and characteristics. However, platform users choose alternatives before considering significant quality factors based on securing decision quality. In real world, platform managers use an algorithm that distorts appropriate alternatives for their commercial benefits. For improving quality of decision-making, preceding researches approach trying to increase rational decision -making ability based on experiences and feedback. In order to overcome bounded rationality, users interact with the machine to approach the optional situation. Differentiated from previous studies, our study focused more on characteristics of users while they use decision platforms. This study investigated the impact of quality factors on decision-making using platforms, the dimensions of systematic factors and user characteristics. Systematic factors such as platform reliability, data quality, and user characteristics such as user abilities and biases were selected, and measuring variables which trust, satisfaction, and loyalty of decision platforms were selected. Based on these quality factors, a structural equation research model was created. A survey was conducted with 391 participants using a 7-point Likert scale. The hypothesis that quality factors affect trust was proved to be valid through path analysis of the structural equation model. The key findings indicate that platform reliability, data quality, user abilities, and biases affect the trust, satisfaction and loyalty. Among the quality factors, group bias of users affects significantly trust of decision platforms. We suggest that quality factors of decision platform consist of experience-based and feedback-based decision-making with the platform's network effect. Through this study, the theories of decision-making are empirically tested and the academic scope of platform-based decision-making has been further developed.

• Journal of Korean Society for Quality Management
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• v.29 no.4
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• pp.38-53
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• 2001

In resolving industrial quality control problems, a vector of multiple quality characteristic variables is involved rather than a single variable. However, it is not guaranteed that a multivariate control chart based on statistical methods can monitor abnormal signal in case that small changes of relationship between each variables causes abnormal production process. Hence a quality control system for real-time monitoring of the multi-dimensional quality characteristic vector under a multivariate normal process is needed to enhance tile production system quality performance. A pattern analysis approach based on self-organizing map (SOM), an unsupervised learning technique of neural network, is applied to the design of such a quality control system. In this study we present a new material quality control system based on pattern analysis approach and illustrate the effectiveness of proposed system using actual electronic company material data.

• Journal of Korean Society for Quality Management
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• v.43 no.4
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• pp.499-510
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• 2015

Purpose: This paper treats the improvement of the quality and reliability of military weapon systems based on the maintenance data. Methods: The proposed method of the data integration and refinement are used to obtain the component reliability information and to find the frequently failed components based on the Pareto analysis. Based on the reliability information and the number of failed component frequencies, the target components of quality improvement are determined and improved by multiple methods such as engineering changes, special meetings, additional training and revising maintenance manuals. Results: Based on the proposed process, we find some components which need to be improved in order to enhance the quality and reliability. Conclusion: A process is developed for improving the quality and reliability of weapon systems. This process will be adopted by various weapon systems to enhance the quality and reliability, as well as reduce military spending.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.426-432
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• 2013

The construction industry consists of various and massive architectural information as an architectural process includes a variety of design stages with cooperation of many disciplines. Particularly, architectural information is generated and managed through the life cycle of a building, from conceptual design stage to the construction and maintenance. A Building Information Model (BIM) serves as a shared knowledge resource for information about a facility forming a reliable basis for decisions during its life-cycle from inception onward. BIM technology accomplished quantitative development being utilized in various disciplines. However, it is necessary to develop environment and requirement for qualitative improvement of BIM based project. Particularly, requirement is very important for architectural design evaluations. The purpose of this study is to develop and apply of quality control requirement for improving the quality of architectural design in open BIM environments. To achieve this purpose, the authors have investigated case study for open BIM data quality control (software, guideline and application case) and classified quality control targets according to physical/logical quality and data quality. In addition, the authors have defined open BIM based quality control process and developed quality control requirements. Finally, the authors have developed rule based quality check system using requirements for efficient quality control based on open BIM.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.599-614
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• 2012

Purpose: We measure service quality based on service process, and examine relationships among product quality, product and service loyalty. Methods: We develop a construct to evaluate process based service quality. We collect data from customers of auto maintenance centers to measure perceived product quality, service and product quality. We test relationships between constructs using structural equation model and regression analysis. Results: Relationships among perceived-product quality, service quality, service loyalty, and product loyalty are all significant. Conclusion: Perceived-product quality has a indirect impact through service quality and loyalty in addition to a direct impact on product loyalty.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.71-78
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• 2011

This parer proposes application of quality costing system in quality improvement area. Cost of quality in quality improvement area provides a valuable of both providing the need for improvement and giving a starting point for project. WQCMS(Web-based Q-Cost Management System) have ability to collect and analyze quality data generated from various different departments in the inside or outside of the enterprise without any limitations, if end-users are able to access wide area network. It provides the capability to integrate quality information from database and to generate various easy analysis reports to management's needs using built-in analysis tool modules with real-time. Web-based quality cost management system to measure the performance of quality improvement activities in the business firms. This paper proposes standard model for quality cost process in quality improvement area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2053-2067
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• 2023

This paper proposes two video quality assessment methods based on deep neural network. (i)The first method uses the IQF-CNN (convolution neural network based on image quality features) to build image quality assessment method. The LIVE image database is used to test this method, the experiment show that it is effective. Therefore, this method is extended to the video quality assessment. At first every image frame of video is predicted, next the relationship between different image frames are analyzed by the hysteresis function and different window function to improve the accuracy of video quality assessment. (ii)The second method proposes a video quality assessment method based on convolution neural network (CNN) and gated circular unit network (GRU). First, the spatial features of video frames are extracted using CNN network, next the temporal features of the video frame using GRU network. Finally the extracted temporal and spatial features are analyzed by full connection layer of CNN network to obtain the video quality assessment score. All the above proposed methods are verified on the video databases, and compared with other methods.