• Proceedings of the Korea Society of Design Studies Conference
• /
• 2002.05b
• /
• pp.50-51
• /
• 2002

• Korean Journal of Computational Design and Engineering
• /
• v.17 no.4
• /
• pp.234-245
• /
• 2012

This paper proposes a multi-level product modeling framework for long-term lifecycle products. The framework can help engineers to define product models and relate them to physical instances. The framework is defined in three levels; data, design model, modeling language. The data level represents real-world products, The model level describes design models of real-world products. The modeling language level defines concepts and relationships to describe product design models. The concepts and relationships in the modeling language level enable engineers to express the semantics of product models in an engineering-friendly way. The interactions between these three levels are explained to show how the framework can manage long-term lifecycle product information. A prototype system is provided for further understanding of the framework.

• Journal of Distribution Science
• /
• v.13 no.6
• /
• pp.25-33
• /
• 2015

Purpose - This paper's goal is to assess and promote several good teaching product designs and several learning environments. The paper discusses research product design learning and management. Research design, data, and methodology - As part of information science and technology, a school uses several teaching networks for auxiliary teaching, taking several designs as the teaching foundation, and creating multimedia curricula. Results - The results indicate that in the best learning designs and environments, the learner can maintain a high interest, which not only attracts all levels in the schools, but also has a pivotal influence on teaching around the world. The research study answers the question, was the atmosphere already luxurious? Conclusions - This study introduces several methodologies that are widely used for experimental processes. Using multi-criterion decision-making technology in studies of language product evaluation systems, the language teaching quality and space design is developed, and the language classroom learning system, the machine operation, the classroom environment design method, etc., conform to specifics of the study, the best choices, the most effective utilization, and are the most efficient.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.3
• /
• pp.110-117
• /
• 2012

A product family design has received much attention over the last several decades, since a product family-based development shortens lead-times and reduces cost, as well as increases efficiency and effectiveness of the product realization process. It is challenging work, however, to define the product family design in the heterogeneous product development environments, due to myriads of products related information described in different ways across products in any companies. In this paper, we provided a way of defining product family design framework using formal concept analysis and ontology language. Based on this, the specific product family can be derived by ontological reasoning, and the new product concept can be also expanded in the framework. The proposed framework is formalized using OWL (Web Ontology Language) and implemented in $Prot{\acute{e}}g{\acute{e}}$. Actual product family design algorithm is carried out using FaCT++ engine, a plug-in to $Prot{\acute{e}}g{\acute{e}}$, and the benefits of the proposed method are also demonstrated through a case study.

• Journal of Distribution Science
• /
• v.22 no.3
• /
• pp.113-124
• /
• 2024

Purpose: This study is a quantitative study and analyzes the effect of evaluating the extreme and usefulness of product reviews on sales performance by using text mining techniques based on product review big data. We investigate whether the perceived helpfulness of product reviews serves as a mediating factor in the impact of product review extremity on sales performance. Research design, data and methodology: The analysis emphasizes customer interaction factors associated with both product review helpfulness and sales performance. Out of the 8.26 million Amazon product reviews in the book category collected by He & McAuley (2016), text mining using natural language processing methodology was performed on 300,000 product reviews, and the hypothesis was verified through hierarchical regression analysis. Results: The extremity of product reviews exhibited a negative impact on the evaluation of helpfulness. And the helpfulness played a mediating role between the extremity of product reviews and sales performance. Conclusion: Increased inclusion of extreme content in the product review's text correlates with a diminished evaluation of helpfulness. The evaluation of helpfulness exerts a negative mediating effect on sales performance. This study offers empirical insights for digital market distributors and sellers, contributing to the research field related to product reviews based on review ratings.

• Journal of Information Technology Applications and Management
• /
• v.30 no.2
• /
• pp.1-18
• /
• 2023

Recently, as technology development has accelerated and product life cycles have been shortened, it is necessary to derive key product features from customers in the R&D planning and evaluation stage. More companies want differentiated competitiveness by providing consumer-tailored products based on big data and artificial intelligence technology. To achieve this, the need to correctly grasp the required quality, which is a requirement of consumers, is increasing. However, the existing methods are centered on suppliers or domain experts, so there is a gap from the actual perspective of consumers. In other words, product attributes were defined by suppliers or field experts, but this may not consider consumers' actual perspective. Accordingly, the demand for deriving the product's main attributes through reviews containing consumers' perspectives has recently increased. Therefore, we propose a review data analysis-based required quality methodology containing customer requirements. Specifically, a pre-training language model with a good understanding of Korean reviews was established, consumer intent was correctly identified, and key contents were extracted from the review through a combination of KeyBERT and topic modeling to derive the required quality for each product. RevBERT, a Korean review domain-specific pre-training language model, was established through further pre-training. By comparing the existing pre-training language model KcBERT, we confirmed that RevBERT had a deeper understanding of customer reviews. In addition, all processes other than that of selecting the required quality were linked to the automation process, resulting in the automation of deriving the required quality based on data.

• Korean Journal of Computational Design and Engineering
• /
• v.5 no.1
• /
• pp.23-32
• /
• 2000

In this paper, we present a Web-enabled product data sharing system for the support of RPD (Rapid Product Development) process by incorporating STEP (STandard for the Exchange of Product model data) with Web technology such as VRML (Virtual Reality Markup Language), SGML (Structured Generalized Markup Language) and Java. Extreme competition makes product life cycle short by incessantly deprecating current products with a brand-new one, and thus urges enterprises to devise a new product faster than ever. In this environment, an RPD process with effective product data sharing system is essential to outstrip competitors by speeding up the development process. However, the diversity of product data schema and heterogeneous systems make it difficult to exchange the product data. We chose STEP as a neutral product data schema and Web as an independent exchange environment to overcome these problems. While implementing our system, we focused on the support of STEP AP 203 UoF (Units of Functionality) views to efficiently employ STEP data models that are maximally normalized, and therefore very cumbersome to handle. Our functionality-oriented UoF view approach can increase users'appreciation since it facilitates the modular usage of STEP data models. This can also enhance the accuracy of product data. We demonstrate that our view approach is applicable to the configuration control of mechanical assemblies.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.18 no.1
• /
• pp.91-103
• /
• 2016

The product name is the main factor in working out the marketing strategies, because it offers the information of the products, and reflects functions, materials, expectable effect, and the trends of the cosmetics. The purpose of this study is to analyze the type of language, the number of syllabus, and the composition method of the product names for the domestic cosmetics brands. It analyzes 120 products of skins and lotions from 10 brands of the Amore-Pacific. The results of the study are as follows; Firstly, foreign words and languages are mostly used in the product names, and the mixed words are used more than the korean and the chinese characters. Secondly, 7-15 syllabus is the most widely used number for the brand names. It is rare to use only one word for the brand name and it is general to use the combination of relative words that describes the product well. Thirdly, it is found to be common to have 'product line + product type' for the composition method. This kind of composition method uses the words that indicates skin troubles.

• Proceedings of the CALSEC Conference
• /
• 1999.11a
• /
• pp.75-84
• /
• 1999

CALS is a strategy to share integrated product data through a set of standards to achieve efficiencies in business and operational mission areas. In this research, we first studied current status for CALS standard and then analyzed the case of US DoD. The results can be summarized as implementing for two major standard in defense CALS system. They are STEP and XML. Our recommendations can be used to set direction for CALS standard implementation and standard selection process.

• Korean Journal of Computational Design and Engineering
• /
• v.3 no.4
• /
• pp.260-273
• /
• 1998

Standardization for product data has not been well established and many different presentation methods are being used in CAD/CAM industry. In order to accomplish system integration or concurrent engineering in such situation, product data exchanges among heterogeneous system are needed. This paper presents a data exchange system between IGES and STEP (AP 202 and 203). The schemata of those standard data formats are represented in EXPRESS and the relationship between corresponding entities are written in EXPRESS-X. Relationships among Non-geometric entities (such as color and annotations) as well as geometric entities are examined. Because the system implemented in this research uses high-level schema language and mappign language, it can be easily extended to support new data formats.