• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.4
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• pp.195-204
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• 2013

The embedded software has been developed in the forms of various versions that provides similar service based on product family. For increase usefulness of product family, software must has well-structured and reusable properties. Software architecture is important to improve adaptability in model-based development of embedded software mounted onto product family. In this paper, we proposed a technique of ADD(Attribute-Driven Design)-based software architecture design for low power software development. This technique provides a chance to consider the power consumption issue in design phase of software, and makes possible to develop low power embedded software.

• Journal of the Korea Safety Management & Science
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• v.2 no.3
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• pp.47-59
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• 2000

Producing what customers need with near mass production efficiency, or mass customization, has been a major trend in industry. Effective definition of customer requirements is a pre-requisite for realizing mass customization. The new method, called "Design by Customers", is proposed. The proposed method is an approach for companies to communicate to customers about what the company can offer, to find out customer needs, to assist customers in making choices and to negotiate for agreements. In this paper, the design and manufacturing capabilities in making company are represented in a Product Family Architecture. Adaptive Conjoint Analysis is then applied help customers assert their needs, defined variations from base product, visualize their options and assess alternatives. A power supplier of a electronic appliance is shown as an example to demonstrated the suggested method.ed method.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.179-182
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• 2000

Today, customer-requirements are getting various, so manufacturing companies face many problems to reflect them with its' new product development or product variety. As the product model managed by companies is more increasing, there might be much more selection conditions and many kinds of parts requited for it. With those reasons, it demands many different kinds of BOM information for new product development and product variety. Under the those manufacturing environment, we can realize that lots of current products have shared many design property and common parts with those of old version. This thesis present these new products for common characteries are classified design property and common parts with those of old version. with product family and it define with modelling language which is Generic BOM. The suggested prototype programmed with Power Builder 6.0 and Ms-SQL is to help companies manage common parts and develop new product effectively by classifying product family's basic characteries with basic and changable levels.

• 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 Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.780-783
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• 2002

This paper proposes an approximate LCA methodology fur the conceptual design stage by grouping products according to their environmental characteristics and by mapping product attributes Into impact driver (ID) index. The relationship Is statistically verified by exploring the correlation between total impact indicator and energy impact category. Then an artificial neural network model is developed to predict an approximate LCA of grouping products in conceptual design stage. The training is generalized by using identified product attributes for an ID In a group as well as another product attributes for another IDs in other groups. The neural network model with back propagation algorithm is used and the results are compared with those of multiple regression analysis. The proposed approach does not replace the full LCA but it would give an approximate LCA results for design concepts.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.2
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• pp.294-306
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• 2015

This study investigated how the travel motivation of Korean overseas tourists influenced shopping behavior. We first identified factors of the travel motivation and then categorized types and attributes of shopping products and shopping stores. We then examined the relationship between the travel motivation and shopping products and shopping channels. A questionnaire method was applied for this survey, while factor analysis and regression analysis were used to analyze data. The results are listed below. First, nature & leisure, rest, family, pleasure, hobby & fitness, and discovery were identified as 6 factors of travel motivation. Second, shopping products of overseas tourists were categorized into three types: fashion & luxury, daily goods, and memento. There were four attributes of products, namely, design, utility, economy, and prestige. Major types of shopping stores were souvenir shops, fashion channels and local markets; the shopping store attributes identified were location & salesperson, assortment & atmosphere, and display. Third, overseas tourists' motivation was shown to influence the selection of product types and attributes. Those who traveled for rest, family, pleasure, hobby & fitness orientation were inclined to purchase fashion & luxury goods, and daily goods; however, those who traveled for rest and hobby & fitness orientation also tended to buy memento. The effect of the travel motivation was shown to be different according to product attributes. Fourth, tourists' motivation was shown to affect store type selection and attributes. Those whose traveled for rest, family, pleasure, hobby & fitness preferred souvenir shops while those seeking nature & leisure and pleasure tended to visit fashion channels and local markets more often. Travelers seeking nature & leisure and discovery cared for all three store attributes while family oriented and pleasure seeking tourists considered shopping store location, salesperson and display attributes as important.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.127-142
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• 2006

As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative, coordinating, and information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. The purpose of this paper is to propose an ontology-based product family modeling framework. The ideas of product family, ontology and Semantic Web were investigated in depth. A Semantic Web is originally defined as a web of data that can be processed directly or indirectly by machines, which operates intelligently. A Web Ontology Language (OWL) is designed for use by applications that need to process the content of information instead of just presenting information to humans. For the selected cellular phone product family, ontology was constructed and implemented using prot$\acute{e}$g$\acute{e}$-2000.

• Journal of Computational Design and Engineering
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• v.2 no.3
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• pp.157-164
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• 2015

This paper discusses an optimization-based approach for the design of a product platform for industrial three-axis linear-type robots, which are widely used for handling objects in manufacturing lines. Since the operational specifications of these robots, such as operation speed, working distance and orientation, weight and shape of loads, etc., will vary for different applications, robotic system vendors must provide various types of robots efficiently and effectively to meet a range of market needs. A promising step toward this goal is the concept of a product platform, in which several key elements are commonly used across a series of products, which can then be customized for individual requirements. However the design of a product platform is more complicated than that of each product, due to the need to optimize the design across many products. This paper proposes an optimization-based fundamental framework toward the design of a product platform for industrial three-axis linear-type robots; this framework allows the solution of a complicated design problem and builds an optimal design method of fundamental features of robot frames that are commonly used for a wide range of robots. In this formulation, some key performance metrics of the robot are estimated by a reducedorder model which is configured with beam theory. A multi-objective optimization problem is formulated to represent the trade-offs among key design parameters using a weighted-sum form for a single product. This formulation is integrated into a mini-max type optimization problem across a series of robots as an optimal design formulation for the product platform. Some case studies of optimal platform design for industrial three-axis linear-type robots are presented to demonstrate the applications of a genetic algorithm to such mathematical models.

• The Journal of Korea Robotics Society
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• v.4 no.2
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• pp.81-87
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• 2009

As expanding of service robots into the human life, the needs of robots are increased. The experts group forecasted that the robot market would grow rapidly in a short time, robot companies should compete with others for prior occupation in a market. In this research, we proposed a framework of robot identity design based on building methods of product identity and developed a case study. Identity is one of the strategies to distinguish from competitors through managing image united. It is possible to apply this identity approach on robot area, which was used for making image of companies, brands, and products. In general, identity has visual, invisual features, which can be classified into three elements; Robot Philosophy, Functional Affordance, Family Look. Robot philosophy means the vision or philosophy of a company through robot development, functional affordance is a character or role to serve and family look includes visual design elements like as shape, color, material, graphic, behavior etc. We suggest that this guide will be applied to build identity of following series of a model, models of same service group and all models of a company or commercial space.

• Journal of the Korean Society of Food Culture
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• v.24 no.3
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• pp.245-255
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• 2009

As multinational brands have made inroads into domestic food service industry, and its recognition has been high to consumers, This research has tried to examine the general identity of brand, their recognition, and re-purchase behaviors. The purpose of this study is to inquire into how the brand value by brand identity was caused by recent development of food service industry, and how it had an effect on the purchase behaviors of them. In particular, factors of general identity have a significant effect on the revisit and purchase intention, as the image and ads of family restaurant among brand property factors of family restaurant showed an significant effect on the revisit intention. This study was made with priority given to the brand identity as four brand factors such as product brand, organizational brand, community brand and design brand based on the confidence. Results found that the community brand and design brand had a significant difference on purchase intention. Consequently, it has been suggested that the marketing strategies to make the brand identity strong have to be established with various brand enhancement tactics in the food service industry.