• Korean Journal of Computational Design and Engineering
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• v.8 no.2
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• pp.90-100
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• 2003

Engineering change (EC) objects are the data structure and related operations that can support applications for EC procedures or processes. Their functionalities include controlling management data, specifying related product structure, and archiving a history of product structure changes for EC management. In this paper we introduce a systematic approach to support the propagation of changes between different product structure views using the history of structure changes in EC objects. The change propagations supported by EC objects enable designers to maintain the consistency of multiple product structure views for engineering, manufacturing or even customer support applications. This paper also includes EC examples and experimental implementations for the proposed EC objects.

• IE interfaces
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• v.13 no.4
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• pp.572-583
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• 2000

In this research we have developed a prototype which manages a product structure and configuration of a product under distributed heterogeneous computing environments. First, the data schema for product structure and configuration which can represent options and effectivity is proposed. Second, a technique to use JAVA and CORBA is suggested for the exchange of product structure among multiple servers in CITIS environments. Functions of the prototype related to option-based product structure are described to help readers' understanding.

• Journal of the Korea Safety Management & Science
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• v.2 no.1
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• pp.161-170
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• 2000

When designing the parameter on the multiple quality characteristics, there has been a study for optimization of problems, but there has been few former study on the possible conflicting phenomena in consideration of the correlations among the characteristics. To solve the issue on the optimal design for multiple quality characteristics, this study modelled the expected loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms. The model will be used to determine the global optimal design parameters where there exists the conflict among the characteristics, which shows difference in optimal design parameters for the individual characteristics.

• Proceedings of the Safety Management and Science Conference
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• 2003.05a
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• pp.1-5
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• 2003

We purpose a decision model to select the optimal facilities for the Decision Making problems with multiple characteristics(nominal-is-best characteristics, larger-is -better characteristics, smaller- is -better characteristics). Using this model, concept of the loss function is used in this comprehensive method of for select the optimal preferred facilities. To solve the issue on the optimal preferred facilities for multiple characteristics, this study propose the loss function with cross-product terms among the characteristics and derived range of the coefficients of the terms.

• Industrial Engineering and Management Systems
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• v.9 no.1
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• pp.41-53
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• 2010

An existing risk diagnosing methodology (RDM) diagnoses corporate risk for product-innovation projects. However, it cannot evaluate and compare the risk levels of multiple alternatives in the product development stage. This paper proposes a modified risk diagnosis method to fill the gap of risk evaluation in selections of innovative product alternatives and the application of the method will be also illustrated by a case problem on alternative selections in electrical dimmer designs. With RDM as the foundation, a modified RDM (MRDM) is proposed to deal with the problem of selecting innovative project alternatives during the early stages of product development. The Bayesian network; a probabilistic graphical model, is adopted to support the risk pre-assessment stage in the MRDM. The MRDM is proposed by incorporating the risk pre-assessment stage into the foundation. By evaluating the engineering design risks in two electrical dimmer switches, an application of the MRDM in product innovation development is successfully exemplified. This paper strengthens the existing methodology for RDM in innovative product development projects to accommodate innovative alternatives. It is advantageous for companies to identify and measure the risks associated in product development so as to plan for appropriate risk mitigation strategies.

• Human Ecology Research
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• v.53 no.4
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• pp.341-350
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• 2015

This study explored the determinant variables influence of Chinese consumers' purchase intention towards products featured in Korean TV dramas vis-$\grave{a}$-vis product placement (PPL). We invited 248 Chinese adult consumers who had watched Korean TV dramas in last twelve months to participate in this survey. Data analyses were conducted by Cronbach's ${\alpha}$ reliability test, confirmatory factor analysis, t -test, analysis of variance and hierarchical multiple regression with SPSS ver. 21.0 and AMOS ver. 21.0. We chose PPL effects, product quality perceptions, and product trust as main independent variables. The empirical analysis results demonstrate that female (versus male) and frequency of (or longer time) watching dramas resulted in higher perceived consumer PPL effects, product quality, trust and purchase intention. The positive effects of the product quality and product trust on purchase intentions were confirmed. There are additional mediation effects of product quality perceptions and trust on the relationship between consumer demographic characteristics (gender), TV drama watching conditions (frequency and time) and purchase intention. This research can help Korean corporations produce effective advertising by indicating how PPL affects Chinese consumer consumption behavior. The results are useful for the Chinese government and consumer organizations to improve the domestic consumption environment by developing effective TV drama PPL policies.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.25-34
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• 2015

This paper investigates effective locations for two products in printed media advertisement (in which one is the relatively higher price product and the other is the relatively lower price product), and provides some insights on the effective locations of multiple products in printed media advertisements. For the research purpose, this paper develops 4 different versions of printed media advertisement and conducts an experiment study to compare consumers' responses on the different versions: Type A(the higher price product is located at the left side of advertisement, and the lower price product is located at the right side of advertisement), Type B(the higher price product is located at the right side of advertisement, and the lower price product is located at the left side of advertisement), Type C(the higher price product is located at the top side of advertisement, and the lower price product is located at the bottom side of advertisement), Type D(the higher price product is located at the bottom side of advertisement, and the lower price product is located at the top side of advertisement). The results of the experiment show that marketers can increase consumers' choices on the both products when they locate the higher price product at the left side or the top of advertisement and do the lower price product at the right or the bottom of advertisement.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.57-63
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• 2012

Software release planning model of software product lines was formulated as a precedence-constrained multiple 0-1 knapsack problem. The purpose of the model was to maximize the total profit of an entire set of selected features in a software product line over a multi-release planning horizon. The solution approach is a dynamic programming procedure. Feasible solutions at each stage in dynamic programming are determined by using backward dynamic programming approach while dynamic programming for multi-release planning is forward approach. The pre-processing procedure with a heuristic and reduction algorithm was applied to the single-release problems corresponding to each stage in multi-release dynamic programming in order to reduce the problem size. The heuristic algorithm is used to find a lower bound to the problem. The reduction method makes use of the lower bound to fix a number of variables at either 0 or 1. Then the reduced problem can be solved easily by the dynamic programming approaches. These procedures keep on going until release t = T. A numerical example was developed to show how well the solution procedures in this research works on it. Future work in this area could include the development of a heuristic to obtain lower bounds closer to the optimal solution to the model in this article, as well as computational test of the heuristic algorithm and the exact solution approach developed in this paper. Also, more constraints reflecting the characteristics of software product lines may be added to the model. For instance, other resources such as multiple teams, each developing one product or a platform in a software product line could be added to the model.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.315-328
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• 2018

In this paper, we examine the methodology to predict consumer preferences using several groups of attributes of products and application to real data. In the food industry, studies are in progress to investigate the relationship between product attributes and consumer preferences; consequently, various methodologies are proposed. Among these methodologies, we consider multiple factor analysis (MFA). The result of the MFA enable the division of consumers into four clusters with similar liking and the defining of preference characteristics for each cluster. Also, using the results of multiple factor analysis, we find the partial least squares path model to predict consumer preferences through the characteristics of the product and the characteristics evaluated by consumers. We can understand the relationship between the cluster of consumers and the preferred/undesirable characteristics of products through the partial least squares path model applied to two clusters with different liking. When multiple factor analysis is used in the partial least squares path model, it is possible to investigate relationships between products and consumers by analyzing product characteristics and consumer preferences simultaneously. The results can be applied to product developments and sales which makes this methodology important and useful.

• Journal of the Ergonomics Society of Korea
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• v.20 no.1
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• pp.87-113
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• 2001

This study introduces the concept of image/impression of a product design, human interface elements, and the relationships between them. It is assumed that the human interface can be decomposed into detailed design elements, called human interface elements. This study attempts to build functional relationships between the image/impression of a product and human interface elements. Two different human factors experiments were conducted to demonstrate the effectiveness of the approach suggested in this study. A total of 35 audio/visual consumer electronics products (e.g., CD players, VCRs) were shown on a display screen and the subjects were instructed to evaluate them in terms of eight image/impression dimensions. One experiment was conducted using Korean subjects while the other using American subjects. The functional relationships were modeled by using the multiple linear regression technique. Similarity and difference between the Korean and the American subjects were analyzed. The approach suggested in this study is expected to help designers and developers identify important design variables to enhance the subjective satisfaction of a product design.