• The Journal of Industrial Distribution & Business
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• v.5 no.3
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• pp.5-14
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• 2014

Purpose - This study illustrates research product industrial engineering, which needs to be promoted to encourage knowledge intensive businesses. Research traditions related to industrial business products and a fuzzy multi criteria decision approach in technology management for product design industries have undergone continuous changes over time. However, there is no clarity on the present situation, and there is a need to reform business enterprises. Research design, data, and methodology - Using fuzzy theory and appraising multi-goal plans, the manner of promoting the competitive advantage of industrial businesses is analyzed using a case study. In the case study, various aspects are examined, such as product design and manufacture, fuzzy set decisions with multi attribute policy making, flaws in the present system, and a review of the related literature. Results - New fuzzy and multi criteria designs can improve the existing keyboard by solving product problems, resulting in a clear and durable typeface for a creative LED keyboard. Conclusion - Using a fuzzy set with multi attribute policy-making influences the achievements appraisal system and can help achieve the anticipated strategy goal of product design.

• Journal of the Korean Society of Costume
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• v.54 no.3
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• pp.53-64
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• 2004

The study was done to provide domestic fashion multi-shops with basic information about the product and price strategies through an investigation the marketing strategies for domestic multi-shop dealt with imported product only. Data were collected from Interview with a buyer or a staff of marketing department of Domestic Fashion Multi-shop dealt with Imported Product only. Through the study, it was clarified that these multi-shops showed a tendency to compose of promising brands. brands set a high value on unique character or technique, and brands of promising designer noticed at the main collection. And they also extended their lines as a total life style shop dealt with accessory. shoes and home collection as well as clothing. Therefore, they had to analyze their target consumer's life style and applied this to organization of product, brands or sizing. To maintain the balance of multi-shop they bought products keeping the balance between all the brands and didn't lose variety of concept, it was demanded to develop new brands as well. Their distribution channels had to be planned by regional characteristic that could be accepted their target consumers.

• Journal of Distribution Science
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• v.13 no.4
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• pp.9-19
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• 2015

Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.21 no.5
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• pp.311-318
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• 2009

In previous study, a new allocation methodology of common cost on multi-product have been suggested. The aim of this study is to suggest the methodology that allocates an environment pollution cost including carbon emission cost to each cost of multi-product. For this study, a supposed multi-energy system composed of twenty kinds of systems was made. The multi-energy system produces eighteen kinds of outputs that are electricity, steam, hot water, chilled water, ice, warm air, and cooling air from seven kinds of energy source that are LNG, coil, geothermal energy, sun heat, hydrogen, bio-mass, and waste. The new methodology was applied to the multi-energy system in order to allocate the environment pollution cost to each production cost, and twenty seven equations were induced. From this result, it is concluded that this methodology can estimate each unit cost and allocate each cost flow in any product of any energy system.

• Korean Journal of Computational Design and Engineering
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• v.17 no.4
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• pp.234-245
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• 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 Navigation and Port Research
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• v.33 no.4
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• pp.271-275
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• 2009

A strategic decision making on location selection for product transportation includes many tangible and untangible factors. To choose the best locations is a difficult job in the sense that objectives usually conflict with each other. In this paper, we consider a multi stage multi criteria transshipment problem with different types of items to be transported from the sources to the destination points. For the optimization of the problem, a goal programming formulation will be presented in which the location selection for each product type will be determined under the multi objective criteria. In the study, we generalize the transshipment model with a variety of product types and finite number of different intermediate nodes between origins and destinations. For the selection of the criteria we selected the costs(fixed cost and transportation cost), location numbers, and unsatisfied demand for each type of products in multi stage transportation, which are the main goals in transshipment modelling problems. The related conditions are also modelled through linear formats.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.161-164
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• 2006

The sales of consumer durables are composed of first time purchases and replacement purchases. Since the sales for most mature durable products are dominated by replacement sales, it is necessary to develop a model incorporating replacement component of sales in order to forecast total sales accurately. Several single product diffusion models incorporating replacement demand have been developed, but research addressing the multi-product diffusion models has not considered replacement sales. In this paper, we propose a model based on consumer choice behavior that simultaneously captures the diffusion and the replacement process for multi-product relationships. The proposed model enables the division of replacement sales into repurchase by previous users and transition purchase by users of different products. As a result, the model allows the partitioning of the total sales according to the customer groups (first-time buyers, repurchase buyers, and transition buyers), which allows companies to develop their production and marketing plans based on their customer mix. We apply the proposed model to the Korean automobile market, and compare the fitting and forecasting performance with other Bass-type multi-product models.

• Proceedings of the Korea Society of Costume Conference
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• 2003.10a
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• pp.73-73
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• 2003

The study was done to provide domestic fashion multi-shops with basic information about the marketing strategies through an investigation the marketing strategies for domestic multi-shop dealt with imported product only.

• Journal of Distribution Science
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• v.11 no.3
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• pp.13-22
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• 2013

Purpose - Product purpose for optimal values solution for synthesize evaluative criteria and optimize product design values. In addition, product designer has to consider the product design to conform to project, laws and regulations, authentication, from the product design stage. Research design, data, methodology - How to use an evaluative criteria model's imprecise market data by evaluative criteria research design; product mapping relationships between design parameters and customer requirements using product predicted value method. An evaluative criteria model and their associated criteria status, product evaluative criteria model of results. Results - Therefore, after the enterprise product design project analysis, effectiveness and the customer degree of satisfaction must be appraised to obtain the maximum value for the benefit on behalf of the implementation goals, the promotion product level and market competition strength. Conclusions - In multi criterion decision making (MCDM), using its searching software capacity to obtain the optimal solution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.149-152
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• 2011

A Multi-Vision needs an image adjust of each product to make the same picture quality for all products when it's installed. Owing to this reason need individual control. This document request indivisual control method for each product with the Remote controller. To realize this method need make Set ID and Picture ID on the UI and need daisy chain of cable to connect Remocon code(IR Signal) In to Out, After allocation the Set ID for each product. Picture ID of the product which want to change picture quality make equal to Set ID. And the product which is same Set ID and Picture ID is only controlled through decoding of Remocon code to Scaler.