• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.2
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• pp.29-34
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• 2003

With the recent trends of electronic commerce moving from B2C to B2B, Collaborative Product Commerce (CPC) is widely adopted as a part of B2B in the virtual collaborative environment. This paper proposes an integrated CPC framework supporting collaborative works between businesses by sharing product data and collaborative process between global enterprises and their customers, who are related to product life cycle, and integrating application systems in order to realize a true B2B electronic commerce. To integrate into a loosely coupled structure, various web service technologies such as XML, SOAP, WSDL and UDDI are utilized as its fundamentals and on that basis, a CPC integration framework is implemented through the Internet to support real-time operation providing interoperability among all the different applications operated on various platforms which have been developed using different languages and adopted by different companies.

• Journal of Korean Society for Quality Management
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• v.33 no.1
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• pp.42-50
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• 2005

The IMD(International Institute for Management Development) report said that national competitiveness of Korea is declined in this year. The main reason for Korea's decline is a largely related to the weakness of corporate competitiveness. The new product development is a necessary ingredient for improving the national competitiveness. The analysis of changing of technologies and customer's needs is needed for successful new product development. In this paper, We found out successful factors of the project by use of DFSS(Design for Six Sigma) and proved them by case study of K-company. Result from this paper is applied to the new product development planning step for K-company and it made a great success rate. It is expected that the result is applied to the same kind industries.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.47
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• pp.289-302
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• 1998

Concurrent Engineering(CE) can provide a competitive edge for companies that have confronted with rapidly changing market requirements, such as shortening of product life cycles, high quality, low cost, diversity of customer demand, and so on. We construct a prototype of integrated information system to support a new product development process by CE concept. This integrated information system can be useful for considering concurrently all of the aspect in the product design process. In this system, an Engineering Database is constructed for gathering data of four departments; i.e. marketing, production, quality control and design department. Also DFM(Design For Manufacturability) is applied for analysis of product design.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.3
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• pp.331-343
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• 2002

This paper proposes a fuzzy rule-based model as a means to build usability models between emotional satisfaction and design variables of consumer products. Based on a subtractive clustering algorithm, this model obtains partially overlapping rules from existing data and builds multiple local models each of which has a form of a linear regression equation. The best subset procedure and cross validation technique are used to select appropriate input variables. The proposed technique was applied to the modeling of luxuriousness, balance, and attractiveness of office chairs. For comparison, regression models were built on the same data in two different ways; one using only potentially important variables selected by the design experts, and the other using all the design variables available. The results showed that the fuzzy rule-based model had a great benefit in terms of the number of variables included in the model. They also turned out to be adequate for predicting the usability of a new product. Better yet, the information on the product classes and their satisfaction levels can be obtained by interpreting the rules. The models, when combined with the information from the regression models, are expected to help the designers gain valuable insights in designing a new product.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.30
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• pp.185-192
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• 1994

The complexity and consistency are important factors that affect human information processing in use of product. In this study, complexity and consistency of product(remote controller) are measured by Task Action Grammar(TAG) model. Also, new design alternative of the user interface is presented and evaluated. The results show that the consistent system and the good correspondence between hierarchical structure of system and user's mental model lead to the reduction of errors and enhanced user's performance.

• IE interfaces
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• v.16 no.4
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• pp.496-506
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• 2003

This study examines the background and necessity of the product certification (KS) and the system authentication (ISO 9000), and their characteristic so as to compare and analyze the possibility of interaction of product certification and system authentication. It tries to suggest an efficient operation system as an integrated management system and analyzes the certification case of K, a manufacturer of kitchen utensils. We believe that the study will help companies minimize their expenses and efforts to establish, operate, and maintain the corporate standard system. In addition, to effectively achieve our goal, we have also made a study of both literature and case and suggested technical guidance to get integrated management system certification. By these methods, we analyzed the effects and problems that come with the introduction and application of the integrated system of product certification and system authentication in order to set up a system to fit to the mechanism of Korean companies. Moreover, we have suggested the model of integrated operation and the benefits that come after acquiring certification.

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.159-174
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• 2015

Remanufacturing used, end-of-life products is a complex problem involving multiple types of products that may share common parts. Recovery targets assigned by market demand and environmental legislation add more difficulty to the problem. Manufacturers now need to achieve specified take-back and recovery rates while fulfilling demands for remanufactured products. To assists in the demand- and legislation-driven remanufacturing of a family of products (i.e., multiple products that share common parts), this paper introduces a bi-objective mixed integer linear programming (MILP) model for optimizing remanufacturing. The model identifies optimal remanufacturing plans for a product family, whereby, the remanufacturer can achieve demand and recovery targets more profitably and in an environmentally-friendly manner. The model can also be used to quantify and justify the economic and environmental benefits of a product family from a remanufacturing perspective. A case study is presented for remanufacturing an alternatorfamily of products.

• Proceedings of the KAIS Fall Conference
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• 2004.06a
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• pp.335-338
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• 2004

Life-Cycle Engineering(LCE) is a decision-making methodology that considers environmental and cost needs during the product life-cycle. Environmental conscious design and manufacturing has become more and more important and it has been enforced by governmental regulations and used as trade restriction. LCE involves integrating environmental consideration into new product development including design, material selection, manufacturing processes and distribution of the product to the consumers, plus the end-of-life management such as disassembly, material recovery, remanufacturing of the product after discarding it. In this paper, a state-of-the-art survey of LCE is presented.

• Korean Journal of Computational Design and Engineering
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• v.17 no.6
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• pp.417-425
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• 2012

In recent years, great attention has been paid to using simple physical objects as tangible objects to improve user interaction in augmented reality (AR) environments. In this paper, we address AR-based user interaction using tangible objects, which has been used as a key component for virtual design evaluation of engineered products including digital handheld products. We herein consider the use of two types (product-type and pointer-type) of tangible objects. The user creates input events by touching specified parts of the product-type object with the pointer-type object, and the virtual product reacts to the events by rendering its visual and auditory contents on the output devices. The product-type object is used to reflect the geometric shape of a product of interest and to determine its position and orientation in the AR environment. The pointer-type object is used to recognize the reference position of the pointer (or finger) in the same environment. The rapid prototype of the product is employed as a good alternative to the product-type object, but various alternatives to the pointer-type object can be considered according to fabrication process and touching mechanism. In this paper, we present four alternatives to the pointer-type object and investigate their strong and weak points by performing experimental comparison of their various aspects including interaction accuracy, task performance, and qualitative user experience.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.117-124
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• 2021

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.