• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.5
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• pp.594-601
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• 2015

The purpose of this research is to propose a maintenance support system for deciding assembly sequence of the product and appropriate tools that are used to assembly and disassembly of parts in the product when geometric properties of the product. The digital maintenance system (DMS) is developed to generate the maintenance guideline and the initial experiment is conducted especially for an underwater weapon system with cylindrical structure. DMS considers four factors to find the efficient assembly and disassembly procedure automatically: (1) assembly tree, (2) properties of each part, (3) distance from the center of the product, and (4) volume. Based on the factors, DMS simulate the movement of each tool virtually and the properties of tools are investigated to find an appropriate tool for using assembly and disassembly of each part in the product. The proposed approach integrates modeling, simulation, data configuration, and virtual reality to allow a development of preliminary maintenance guidance.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.908-909
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• 2008

A kind of fluorescent lamps CCFL(Cold Cathod Fluorescent Lamp) is used for backlight of LCD and the demand of backlight for TV is getting more. CCFL is also used in a backlight for TFT-LCD panel. BLU(Backlight Unit) has lots of components so it looks a electrical product. As the size of LCD display is larger with increasing of the demand, to drive CCFL inverter is more important. Therefore, a sort of modeling to drive 4 lamps with a transformer is used and we have a simulation test with proposed modeling so we can take some data from the test. The utility of the proposed modeling is verified through using for 30-inch LCD backlight with the data.

• The Journal of Industrial Distribution & Business
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• v.5 no.4
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• pp.13-22
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• 2014

Purpose - This study aims to examine new product adoption (NPA) in the context of clothing in Iran. Research design, data, and methodology - Data were gathered from cloth owners in Iran, focusing on famous cloth brands cloth. Further, using the proportionate stratified sampling method, a total 438 usable questionnaires were returned and analyzed through the use of structural equation modeling (SEM). In addition, LISREL software was used to analyze the data collected through the structured questionnaires. Results - Overall, the study findings indicate that education has a positive effect on new product adoption, whereas the impacts of religion and Attitude towards Consumption (ATC) on new product adoption are negative and significant, but the effect of age, peers, and income on new product adoption is not significant. Conclusions - Using date obtained from a large random sample of Iranian consumers, this study offers a deeper understanding of the attitudinal and personal antecedents of consumers' new product adoption in an emerging market. Using the findings of the articles and conclusions will be useful for market researchers and, of course, business persons.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.3
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• pp.268-273
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• 2005

We propose the specialized product-line development methodology for developing the embedded system of an MSDFS (Multi Sensor Data Fusion System : called MSDFS). The product-line methodology provides a simultaneous design between software and hardware, high level reusability. However this is insufficient in requirement analysis stage due to be focused on software architecture, detailed design and code. Thus we apply the business model based on IDEF0 technique to traditional methodology. In this paper, we describe the processes of developing Core-Asset, which are requirement analysis, feature modeling, validation. The proposed model gives the efficient result for eliciting features, and ensures the high level reusability of modules performing on embedded system.

• Human Ecology Research
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• v.51 no.4
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• pp.455-472
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• 2013

This paper's aim is to explore how China's country image affects the product evaluations and purchase intentions through three major hypothesize. Four hundred eighty-nine Korean adult consumers, who have the purchase experiences of goods made in China before, were invited to take part in this investigation. Data analyses were conducted by reliability test, confirmatory factor analysis and structural equation modeling with SPSS ver. 19.0 and AMOS ver. 18.0. This study focused on multi-dimensional country image and found that China's country image contains 5 elements (people, evolution, politic, economic and culture). Empirical verification through structural equation modeling indicates that the data offer substantial supports, such that China's country image represents the predominant influence on product evaluations and people, evolution, and politic image showed positive effects. Also, China's country image has a positive influence on the product purchase intentions directly (culture image) and indirectly (people, politics, and evolution image) through the product evaluations. Practical implications of findings will be discussed and suggested as follows. First, this study complements the lack of researches on China among the studies regarding country image. Secondly, research results would help us to understand the perception on China's country image of Korean consumers' and to seek the criteria by which consumers evaluate goods made in China. Finally, this research can help Chinese companies to make market strategies effectively when they entering Korean market by exploring the factors which have strong influences on Korean consumers' purchase behaviors.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.597-608
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• 2008

Marketing has been used the power of data and information technology in the pursuit of personal marketing of products and service to customers, based on their preferences and needs. We analyzed the performance of twenty six combined(RFM and Confidence) response modeling methods that were proposed by Zahavi and Levin(l997) and Sho, et al.(1999). As a result, we were able to increase about 3.5%p. forecasting accuracy of customers response through combination with confidence(C) that is able to consider characteristics of product than using the single RFM model that is practically the most widely used.

• The Journal of Society for e-Business Studies
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• v.1 no.2
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• pp.77-92
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• 1996

In recent years, the manufacturing industry begins to demand the PDM which integarates design and manufacturing information concurrently to reduce the time-to-market of new products. However, current commercialized PDM tools have drawbacks in representing by relational data modeling a variety of data types such as CAD files, images, audio, long text, etc. For this reason, object-oriented approaches are suggested as an alternative. In this paper, using one of object-oriented approaches, Rumbaugh's OMT(Object-Modeling Technique), we propose a data model of drawing information management systems essential for PDM. The scope of the model is limited to the information management for drawings, parts, and product structures. Static, dynamic and functional models are suggested in detail. In the models, the drawing status is classified into on-progress, approved, disposed, and released. Also, parts are classified into products, assemblies, and components.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.123-133
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• 2021

The purpose of this study was to analyze the influence of product quality factors, product risk, company reputation, and service quality on the purchase intention of insurance policies by customers in Indonesia. The variables in this study are product quality, service quality, company reputation, perceived risk, and purchase intention. This study uses a quantitative approach. Primary data were obtained from 154 respondents. Data processing and model testing use the Structural Equation Modeling procedure with Lisrel 8.80. At the significance level of 0.05, the research found that product quality had a positive and significant effect on purchase intention; product quality had a positive and significant effect on company reputation; product quality had a positive and significant effect on perceived risk perception; company reputation had a positive and significant effect on purchase intention; company reputation has a positive and insignificant effect on service quality; product quality has a positive, but non-significant effect on service quality; service quality has a positive and significant effect on purchase intention; perceived risk has a negative and significant effect on purchase intention; perceived risk has a positive and significant impact on service quality; and perceived risk has a positive and significant effect on company reputation.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.125-136
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• 2005

As the importance of time-based competition is increasing, information systems for supporting the immediate decision making is strongly required. Especially high -tech product firms are under extreme pressure of rapid response to the demand side due to relatively short life cycle of the product. Therefore, the objective of our research is proposing a framework of estimating demand curve based on e-auction data, which is extremely easy to access and well reflect the limited demand curve in that channel. Firstly, we identify the advantages of using e-auction data for full demand curve estimation and then verify it using Agent-Eased-Modeling and Tobin's censored regression model.

• Journal of Distribution Science
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• v.19 no.1
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• pp.49-60
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• 2021

Purpose: A good physical appearance greatly affects a person's self-confidence, especially when the media constantly depicts that beautiful men and women are those with perfect bodies, which later forms the perception that being fat or too thin is not attractive. That is in line with the increasing knowledge and the need for nutritious foods and drinks for diets. Therefore, this study aims to see whether there is a relationship between the Weight Rejuvenation Program Everyday product innovation towards millennial purchase decision and the motivation of having an ideal body as a moderating effect. Research design, data, and methodology: Distributed online Google form questionnaires to 96 audiences who commented on "Mute" web series. The respondents consisted of 63 women and 33 men from the millennial generation who lived in Greater Jakarta and were classified as the middle to upper economic class. After all of the data were collected, they were processed using Structural Equation Modeling Partial Least Squares. Results: Product innovation had a significant influence on the purchasing decisions of the millennial consumer, but motivation did not have the moderating function in the relationships between product innovation and purchase decision. Conclusions: The main factor for product innovation that can be accepted by millennials is the product quality that remains good.