• Journal of Information Technology Services
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• v.21 no.2
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• pp.97-107
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• 2022

Recently, interest in smart factories is increasing. Investments to improve intelligence/automation are also being made continuously in manufacturing plants. Facility automation based on sensor data collection is now essential. In addition, we are operating our factories based on data generated in all areas of production, including production management, facility operation, and quality management, and an integrated standard information system. When producing LCD polarizer products, it is most important to link trace information between data generated by individual production processes. All systems involved in production must ensure that there is no data loss and data integrity is ensured. The large-capacity data collected from individual systems is composed of key values linked to each other. A real-time quality analysis processing system based on connected integrated system data is required. In this study, large-capacity data collection, storage, integration and loss prevention methods were presented for optimization of LCD polarizer production. The identification Risk model of inspection products can be added, and the applicable product model is designed to be continuously expanded. A quality inspection and analysis system that maximizes the yield rate was designed by using the final inspection image of the product using big data technology. In the case of products that are predefined as analysable products, it is designed to be verified with the big data knn analysis model, and individual analysis results are continuously applied to the actual production site to operate in a virtuous cycle structure. Production Optimization was performed by applying it to the currently produced LCD polarizer production line.

• Korean Journal of Computational Design and Engineering
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• v.18 no.4
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• pp.267-274
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• 2013

This study focuses on the data schema and data content, which includes maintenance data, data structures and illustration data relevant with the maintenance process of ship and offshore structures. Product lifecycle management (PLM) is expected to encompass all the product data generated for the operation and maintenance information as well as the design and production. This paper introduces a data exchange schema in PLM of ship and offshore, serving as the basis for the role of standards required by the middle-of-life PLM. Also this paper identifies a typology of standards relevant to PLM that addresses the schema of evolving standards and identifies a XML schema supporting the exchange of data related with maintenance operations. Technical document based on standards in accordance with S1000D and Shipdex is explained. A case study illustrating the use of standard data exchange and technical document is presented.

• Korean Management Science Review
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• v.15 no.1
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• pp.13-31
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• 1998

In this paper, we examine the relationship between information type and new product development process. Information that was provided for new product development can be divided into two categories. One was relative information that could be used as a basis for comparison such as patent data. The other was absolute information that must be fulfilled in the new product such as key customers requirements. An experiment was conducted with staffs in an R＆D department in order to analyze the impact of the different information types on the development process of new product. It was found that the group with the absolute information recognized the given information repeatedly, which in turn results in a highly technical idea with good teamwork. The group with the relative information created a superior product with better application, appearance and product efficiency through the frequent refinements of given ideas. This paper concludes with the implications of the results to the new product development process and supporting information systems.

• The Journal of Industrial Distribution & Business
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• v.5 no.1
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• pp.17-25
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• 2014

Purpose - Nowadays, the innovative design concept is being implemented in product design. In order to satisfy market trends and the demand for quality, designers should employ customer satisfaction questionnaires and analyze them with various experimental processes. Research design, data, and methodology - These methodologies would help designers have a better understanding of their customers and judge the market size and clustering validity, by diverse product strategies, for dealing with the rapid change prevailing in the market today. Results - By considering the innovative design with regard to telephones as an experimental case, the study investigates and demonstrates how the product can benefit from market-oriented and customized management concepts, when creative design ability is utilized for developing the product. Conclusions - Along with the benefit of having an innovative product value, the product can stimulate progress inthe development of the enterprise management, which has emerged as the main issue in the area of social and economic development in every developed country.

• Korean Journal of Computational Design and Engineering
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• v.5 no.3
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• pp.224-231
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• 2000

In order to satisfy customers'various needs in the market, manufacturing companies tend to add similar variants to an existing product model. This variety causes immense growth of product configuration and makes data management uncontrollable. In order to resolve this problem, we propose a method to efficiently represent the variants in a single schema of product structure and configuration and manage the product configuration. First of all, the product structure which adopts the concept of features and options is suggested. Second, the method to represent option specifications which restricts option configurations is proposed. Finally, the prototype module, which inspects if a product configuration violates the option specifications, is introduced.

• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.151-167
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• 1994

Initial screening is one of the most important and difficult processes in new product development. Many new product screening models have been developed in management and marketing. However practical applications of these models have been limited in part due to their complexity and inflexibility, and in part due to their excessive data requirements. Thus simple judgment models have been popular in practice. However, these models suffer from inaccuracy and inconsistency originating form human cognitive limitations. In light of the problem swith traditional screening methods, we propose a new approach for screening based on managers' past experience and intuitive judgments-screening by analogy, and develop a computerized case-based system for screening new financial service concepts. Using the system, managers can predict the potential performance of a new product concept based on the performance of past products that are similar to it in terms of product characteristics, firm's resources, and market conditions. Based on this prediction, managers make a screening decision.

• International Journal of CAD/CAM
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• v.5 no.1
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• pp.99-109
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• 2005

This paper introduces an approach to an ontology-based multi-level knowledge framework for a knowledge management system for discrete-product development. Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects: therefore, we suggest an ontology-based multi-level knowledge framework (OBMKF). The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so ambiguity can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain knowledge and guides the engineer to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and manufactured item level, according to the various viewpoints. The top level is specialized knowledge for a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of knowledge and is represented with first-order logic to maintain a uniform representation.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1173-1174
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• 2007

The project of advanced urban transit system development is developing the advanced vehicle and the core technologies for the cost down by system change, the transport safety and the environmental friendliness and the improvement of passenger service. The product data management system is installed for management of each project. Various data and informations producted from each project are made for database. Therefore, we develop the product data management system.

• Proceedings of the Safety Management and Science Conference
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• 2001.05a
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• pp.235-239
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• 2001

The purpose of this study is to develop an insurance system for product quality liability(PQL) by reviewing some legal issues concerning the product liability It is concluded that the purpose and the function of PQL insurance have to be considered with robust experience data for the life of product, quality system of the company, size of company, the number and amount of products produced by a company and the type of company etc. And this article reviews some problems of policy including the possibility of anti-selection and reverse selection.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.2
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• pp.71-80
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• 2010

This thesis is purposed on developing security product co-evaluation statistics administrate program which is can administrate or analysis CC accreditation product using by DEVS modeling via portal site of member of CCRA. Via developing security product evaluation statistics administrate program, it can analysis the trend of all countries of the world in many ways, and noticed the ways of evaluation and accreditation of most countries via scheme analysis. Except this, it can analysis the situation of accreditation trend of any countries via data analysis of ICCC 2009. Also, For trend analysis to evaluation technique of CCRA member, it analyzed up to date technology and policy of the evaluation organization and the Certification Authority of most countries. And it peformed analysis the most trend of information security of evaluation authorization in CCRA member countries. In this program, It provide the function of trend statistics analysis which can statically analyzed the evaluation accreditation trends of most countries and automatical statistics by categorization ( by Product, Class and statistics in national) and report creation functions which can easily extraction and use the needed data. It has been updated the related informations until latest accredited product using by CC(Common Criteria) portal home page's data.