• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.4
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• pp.241-245
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• 2011

In this paper, when photovoltaic (PV) systems are connected to power distribution system, most effective capacity and connected-point of PV system are presented considering power distribution system reliability. The reliability model of PV system is presented considering the duration of sunshine. Also the model of time-varying load and reliability test system bus2 model are used. To simulate the effects of PV system, various cases are selected; (1) base case which is no connection of PV system to power distribution system when faults are occurred, (2) 3MW case which is 3[MW] connection of PV system (3) 4[MW] case, and (4) 20[MW] case which is 20[MW] connection of PV system to the bus of power distribution system. The capacity limit of connected PV system is settled to 14[MW] for all cases except case 4. The reliability for residential, general, industrial, and educational customer is evaluated.

• International Journal of Reliability and Applications
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• v.4 no.2
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• pp.79-95
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• 2003

Manufacturers collect and analyze field reliability data to enhance the quality and reliability of their products and to improve customer satisfaction. To reduce the data collecting and maintenance costs, the amount of data maintained for evaluating product quality and reliability should be minimized. With this in mind, some industrial companies assemble warranty databases by gathering data from different sources for a particular time period. This “marginal count failure data” does not provide (i) the number of failures by when the product entered service, (ii) the number of failures by product age, or (iii) information about the effects of the operating season or environment. This article describes a method for estimating age-based claim rates from marginal count failure data. It uses covariates to identify variations in claims relative to variables such as manufacturing characteristics, time of manufacture, operating season or environment. A Poisson model is presented, and the method is illustrated using warranty claims data for two electrical products.

• Journal of Information Technology Applications and Management
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• v.13 no.2
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• pp.17-28
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• 2006

The SRGM has been studied under the assumption that S/W reliability can grow as the fault causing failure is removed even during operational phase because the debugging is available. On the other hand, some papers insist on the uniform failure rate during operational phase because the debugging may not be available in case of universal software. The phenomenon, however, has been observed informally many times that the products S/W reliability grows as the time goes by even without any debugging in point of customer view. I propose the simple approaching method to model the S/W reliability phenomenon that the failure rate reduces as time goes on without modifying the existing reliability model in this paper.

• International Journal of Reliability and Applications
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• v.4 no.4
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• pp.157-170
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• 2003

In this paper we apply statistical reliability tools to manage and seek improvements in the strengths of medium density fiberboard (MDF). As a part of the MDF manufacturing process, the product undergoes destructive testing at various intervals to determine compliance with customer′s specifications. Workers perform these tests over sampled cross sections of the MDF panel to measure the internal bond (IB) in pounds per square inches until failure. We explore both graphically and statistically this "pressure-to-failure" of MDF. Also, we briefly comment on reducing sources of variability in the IB of MDF.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.27-35
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• 2017

The purpose of this study was to examine the causal relationship among restaurant selection attributes and customer satisfaction and recommendation tastes for young people in their twenties who use tickets for Rail-ro. Data collection was conducted to utilize questionnaire survey with online and offline distribution. The collected data were analyzed using a statistical program SPSS 21.0 with frequency analysis, reliability analysis, factor analysis, and regression analysis. The results of the study showed that Internet search is the most common source of information about restaurants during the trip, and restaurant choice attributes have an important impact on customer satisfaction, food quality, employee service and reputation, but hygiene did not have a big effect on customer satisfaction. In addition, customer satisfaction has a significant effect on recommendation intention. Concluding the results from this study, it investigated the significant attributes for customers selection of restaurants and provide meaningful advice for market managers to make useful marketing strategies to attract more clients and augment economic benefits.

• The Korean Journal of Community Living Science
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• v.11 no.1
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• pp.9-18
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• 2000

The purposed of the study was to assess customer satisfaction concerning foodservice quality characteristics by using developed DINESERV model for university employee foodservices. Specially, it was intended to develop the tool which assesses the differences between customer importance and perceptions of customer with actual foodservice delivery by university employee foodservices. Questionnaires were distributed to 300 un9iversity employees. Total 230 university employees responded with a usable response rate of 67.7%. Statistical data analysis was completed using SAS programs for descriptive analysis and t-test. The results of the study are as follows: 1) Employees´first choice was distance when they select foodserveices. They answered their preference as the first factor when they order menu in the foodservices. The first complain factor concerning university foodservices was the taste of food. 2) Customers did not satisfied with the foodservice quality of university employee foodservices. Importance mean score of service quality was 3.81 out of 5 but percption mean score of service quality was 3.10. Importance mean score of food quality was 4.11 out of 5 but perception mean score of food quality was 2.96. 3) Customers´satisfaction of service quality by dimensions were as following order: assurance > reliability > responsiveness > empathy > tangibles. And customers´satisfaction of food quality by dimensions were as following order: nutrition > food > price > sanitation. There were no significant difference about customer satisfaction between contracted management and self-operated.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.55-64
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• 2007

In this study, relationship model of relationship quality and loyalty for perceived service quality on department store is proposed and empirically tested. Service quality factors were defined as Tangibles, Reliability, Responsiveness, Assurance, and Empathy. Relationship quality were defined as customers' overall satisfaction and customer trust. A LISREL model was used to develop dimensions of service quality and to investigate the structural relationship among perceived service quality, relationship quality(customer satisfaction and trust) and loyalty on department stores. The empirical results were as follows; First, Tangible, Responsiveness, Assurance and Empathy of service quality factors have a positive effect on customers' overall satisfaction. Second, customers' overall satisfaction have a positive effect on customer trust. Third, relationship quality have a positive effect on loyalty of customer; customers' overall satisfaction and customer trust have a positive effect on loyalty of customer. At the end of this paper, discussion, managerial implications, limitations and future research directions were suggested.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.523-538
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• 2018

Purpose: The purpose of this study was to propose useful suggestions by analyzing causal effect relationship between sharing bicycle service quality, customer satisfaction, CSV, and continuos use intention in China. Methods: The collected data through the survey were analyzed using structure equation model analysis. The measurement tools used for this study were divided into four dimensions such as service quality, customer satisfaction, creating shared value, and continuous use intention. Results: The results of this study are as follows; regarding the influence of sharing bicycle service quality dimension on customer satisfaction(reliability and response), it was found that customer satisfaction was not significant on economic value. but it was significant on social value. It was found that social value made statistically significant influence on use intention. Conclusion: Sharing bicycle industry needs to activity of response to customer, and paying attention to view of social value for the sharing economy in the future.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.180-183
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• 2000

The Battery Energy Storage System(BESS) has lots of advantages such as load levelling, quick response emergency power(spinning reserve), frequency and voltage control, improvement of reliability, and deferred generation and transmission construction. The economic feasibility requires justification from the customer side of meter to promoting the dissemination of BESS nationally. In this paper, we proposed the economic assessment model of customer owned Battery Energy Storage System(BESS) which is complemented and improved the existing model. The proposed model is applied to the typical customer type(light-industrial commercial, and residential) which are taken from the statistical analysis on the load profile survey of Korea Electric Power COmpany (KEPCO). The economic assessment performed for each customer type to justifying their economic feasibility of BESS installation from the economic measures such as payback period, overall benefits, ROI, and ROR. The results of this paper are useful to the customer investment decision making and the national energy policy & strategy.

• Fashion & Textile Research Journal
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• v.10 no.1
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• pp.50-58
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• 2008

This study aims to identify whether shopping malls affect customer satisfaction significantly according to the store image assessment of consumers after their purchases. This comparative study on the store image and satisfaction level according to shopping mall type is supposed to offer useful basic data for developing a niche market while establishing market segmentation strategies for internet fashion shopping malls. As a result of an empirical analysis, it was found that important standards for assessing the store image of internet fashion shopping malls include product and information service, customer service after purchase, atmosphere, convenience and reliability, and all five factors were shown to affect the satisfaction level for all general malls significantly. However, product and information service and convenience were shown not to be significantly influential to the satisfaction level for fashion specialty mall. In addition, customer satisfaction was found to affect the customers' intention to repurchase and word of mouth. Therefore, if marketing managers of internet fashion shopping malls elevate customer satisfaction by managing the store image before the customers' purchase, they can attract customers to repurchase intention and ultimately prompt a word of mouth effect.