• Asia pacific journal of information systems
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• v.11 no.4
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• pp.1-25
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• 2001

Manufacturing firms face a paradigm shift from industrial systems driven by efficiency to post-industrial systems where success depends on a quick-response to customer demands for a variety of high-quality products. In essence, time is becoming a critical dimension for competition. New information technologies allow many firms to pursue time-based competitive strategies. The purpose of this research is to investigate the relationship among the types of information technology, behaviors of suppliers, the structures of new product development processes, and the competitiveness of the firms. The data for this study were collected from 96 Korean manufacturing firms that have implemented certain types of information technologies. Research results from LISREL analysis confirm that the competitiveness comes from product innovation capabilities and innovative product development process. But the linkage between the information technologies and the firms' competitiveness proves to be indirect. Suppliers, organizational culture related to IT, and some other factors also have indirect impact on the competitiveness. A summarized report of other findings is provided as well.

• Transactions of Materials Processing
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• v.30 no.5
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• pp.236-241
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• 2021

This study describes the cold stamping process design procedure to secure the formability and dimensional accuracy of the automotive structural component fabricated by 1.5GPa grade ultra-high strength steel sheet. The target product is selected as the front side rear lower member which is the most important energy absorption part in the frontal impact condition. To secure the product quality, an intermediate product shape is added while considering the low elongation and high strength characteristics of 1470Mart. The sequential optimization procedure of the intermediate product shape, the fine dimensional quality is then achieved without any crack or wrinkling. The cold stamping method with ultra-high strength steel sheets is validated by conducting the die tryout of the front side rear lower member.

• Journal of the Korea Safety Management & Science
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• v.21 no.3
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• pp.11-16
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• 2019

The latest issue is the smart factory. In order to implement this smart factory, the most fundamental element is to establish product specifications for factors affecting the product, obtain useful data to analyzed and predicted, and maintain safety. But most manufacturers have many errors. Therefore, the purpose of this study is to verify factors of product through statistical techniques and to study the process control and safety.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.24 no.4
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• pp.375-385
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• 2020

In this paper, a special indefinite inner product, named hyperbolic scalar product, is used and all acquired results have been raised and proved with the proviso that the space is equipped with this indefinite scalar product. The main objective is to be introduced and applied an indefinite oblique projection method, called Indefinite Lanczos J-biorthogonalizatiom process, which in addition to building a pair of J-biorthogonal bases for two used Krylov subspaces, leads to the introduction of a process for solving large non-J-symmetric linear systems, i.e., Indefinite two-sided Lanczos Algorithm for Linear systems.

• Transactions of Materials Processing
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• v.30 no.2
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• pp.69-73
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• 2021

This paper addresses the product shape modification for spring-back reduction in the sheet metal forming process of the cabin sunroof which is applied to the construction equipment. Initially, the anisotropic material properties are measured in order to calculate the degree of spring-back by the numerical simulation of the sheet metal forming process. To reduce the spring-back of the stamped part, several design modifications are suggested according to the geometrical bead arrangement on the planar region. The degrees of spring-back are confirmed for various product designs with different use of the geometrical bead. Finally, the spring-back improvement was validated by manufacturing the tryout product with the modified die set for the optimized product shape.

• The Korean Journal of Franchise Management
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• v.6 no.2
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• pp.17-30
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• 2015

Companies display the product information to the consumers in their online presences. As importance of online marketing activities are growing, most of the franchisers also uses the product images on their online sites to provide the vivid visual information of their merchandises. But the previous researches do not provide the rigorous understanding on the nature of how the consumers process the visual information. In this study, we explore the theoretical backgrounds of the visual information processing and set up the research proposition on the orders and directions of the online visitors' attentions. The visit data from experimental online shop for 81 days was analysed with repeated measure ANOVA. We found that the nature of visual information processing in the online environment is different from that of the ordinary text process. At the end of this study, implication and the limitations of the research were discussed.

• Journal of Korean Society for Quality Management
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• v.39 no.3
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• pp.400-411
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• 2011

Process variables are factors in an experiment that are not mixture components but could affect the blending properties of the mixture ingredients. For example, the effectiveness of an etching solution which is measured as an etch rate is not only a function of the proportions of the three acids that are combined to form the mixture, but also depends on the temperature of the solution and the agitation rate. Efficient designs for the mixture components-process variables experiments depend on the mixture components-process variables model which is called a combined model. We often use the product model between the canonical polynomial model for the mixture and process variables model as a combined model. In this paper we propose three starting models for the mixture components-process variables experiments. One of the starting model we are considering is the model which includes product terms up to cubic order interactions between mixture effects and the linear & pure quadratic effect of the process variables from the product model. In this paper, we propose a method for finding robust designs and practical designs with respect to D-, G-, and I-optimality for the various starting combined models and then, we find practically efficient and robust designs for estimating the regression coefficients for those models. We find the prediction capability of those recommended designs in the case of three components and three process variables to be good by checking FDS(Fraction of Design Space) plots.

• Archives of design research
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• v.13 no.3
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• pp.29-38
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• 2000

Human has been living in the relation with diverse artifacts ranging from simple tools to complex systems. The relation is an interaction between user and product with input and output process to achieve a certain goals. Natural inter-connection is very important to this interaction. The visualized operation and the dear feedback of product play a critical role in making input and output distinct at both sides. So product innovation means removing mental and physical loads between product and user based on understanding and analyzing interaction. This study proposes the interaction grid as a framework to visualize the interaction. The interaction grid is the format to describe the input and output process between user and product. Modeling and analysis of interaction is based on the interaction grid. Finally, this study discusses the idea exploration method for product innovation with interaction grid, and develops prototype of interaction analysis system for supporting idea exploration.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.765-776
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• 2007

Customer expectations and requirements for products play an important role in product planning for companies and decision making process for the consumer. These expectations are expressed by product qualities that consumers consider important when they purchase. Therefore, to identify quality elements that reflect consumer requirements would be a useful guide for companies. The purposes of this study are to find out quality factors of apparel product, to identify apparel product quality elements using Kano's theory, to find attributes of product which improvement are required. Women over 20 years-old from metropolitan areas in South Korea participated in the study and a quota sampling method was used. A questionnaire was arranged with four separate subject sections, importance of quality, Kano's questionnaires, and demographics. Data from 525 questionnaires were used for the statistical analysis. The results were as follows: Six dimensions of product quality(i.e., usefulness, performance, aesthetic, symbol, individuality and appearance) were identified. According to Kano's quality elements, performance was categorized into must-be quality which could lead to product dissatisfaction. Usefulness and appearance were categorized into one-dimensional quality which lead to both satisfaction and dissatisfaction. Aesthetic, symbol, and individuality was categorized into attractive quality which could lead to satisfaction. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the product development process.

• Journal of the Korea Safety Management & Science
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• v.16 no.1
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• pp.177-189
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• 2014

The objective of the present study is to analyze the relationship of suppliers and customer participation in product development process and effects of such participation on product innovation since it is getting more and more weight in manufacturing companies. It is also aimed in this study to explore if business performance of manufacturing companies might be affected by the suppliers participation as well as product innovation that is realizable by such participation. From the analysis, following conclusions could be drawn: First, suppliers participation in manufacturing companies turned out to have influence upon product innovation (standardized coefficient=0.193, C.R=3.510), implying that nothing is more important than the role of suppliers who have intention to realize innovation through participation in manufacturing companies. Second, the analysis showed that customer participation exercised impact upon product innovation of manufacturing companies (standardized coefficient=0.686, C.R=6.433), suggesting that the more customer participate in product development process of manufacturing companies, the more manufacturing companies could sharpen their competitiveness. Third, it was made known from the analysis that the product innovation thanks to suppliers and customer participation in manufacturing companies could have influence upon their business performance (standardized coefficient=0.762, C.R=7.666), signifying that the product innovation of manufacturing companies might depend on the participation of suppliers and manufacturers and, in turn, could affect their own business performance.