• Title/Summary/Keyword: Product Develop

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Modeling the relationship between sensibility and design elements for developing the product based on human sensibility ergonomics (감성공학적 제품개발을 위한 감성과 디자인 요소간의 관계 모형화)

  • 권규식;이정우
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1997.11a
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    • pp.11-15
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    • 1997
  • This study deals with the method for modeling relationship between human sensibility and design dldments of a product for applying human sensibility to product development, Inorder to extract sensibility characteeristics concerning a product, we figured out the relationship between xensibilith and design elements using corrdlation analysis and multiple regression analysis, and then modeled the realtionship between then through multiple objective linert programming. The results of this study can be effectively applied to develop a product based on human sensibility

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Design improvements for 'display' devices

  • Roh, Seung-Wan
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.304-304
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    • 2009
  • We may need to consider 'display' interface and product design as distinct from traditional user- and technologydriven product design. Technology-dominated product development may lead users to demand another 'technological improvement' rather than 'design improvement.' This cycle of product development may cause both users and producers to disregard the potential of 'display' technology and interface. We must develop a better understanding of significant and unique 'display' potential in comparison with 'real' world communications and current sociological and technological contexts.

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An approximation method for sojourn time distributions in general queueing netowkrs (일반적인 큐잉네트워크에서의 체류시간분포의 근사화)

  • 윤복식
    • Journal of the Korean Operations Research and Management Science Society
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    • v.19 no.3
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    • pp.93-109
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    • 1994
  • Even though sojourn time distributions are essential information in analyzing queueing networks, there are few methods to compute them accurately in non-product form queueing networks. In this study, we model the location process of a typical customer as a GMPH semi-Markov chain and develop computationally useful formula for the transition function and the first-passage time distribution in the GMPH semi-Markov chain. We use the formula to develop an effcient method for approximating sojourn time distributions in the non-product form queueing networks under quite general situation. We demonstrate its validity through numerical examples.

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New Product Marketing Strategy: The Case of Binggrae's 'a Café la'

  • Yeu, Minsun;Lee, Doo-Hee;Kim, Sang Yong;Yoo, Shijin
    • Asia Marketing Journal
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    • v.14 no.3
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    • pp.169-184
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    • 2012
  • All firms require new stimulus to spurt growth. Therefore it is necessary to successfully develop new products and to employ appropriate marketing practices for the new products to enter and settle in the market. Binggrae, a Korean company that specializes in dairy and processed dairy products, introduced a ready-to-drink (RTD) coffee product, 'a Café la' to expand its business into the coffee market in 2008. Binggrae was a latecomer in the RTD coffee market but a Café la has shown an impressive average sales growth rate of 115% as of 2011 since the launch. Moreover, it is a steady bestselling coffee brand among the Polyethylene terephthalate (PET)bottle category. Binggrae found potential and opportunity in the growing coffee market and made efforts to develop a new product that can be differentiated from the existing products. The result was PET bottle coffee, which was more portable and convenient to drink than coffee products offered in cups or cans. PET bottle coffee is produced through the patented Aseptic Filing System, thus the original coffee flavor stays fresh when combined with milk and has a longer shelf life than coffee products in cups. Moreover, as the taste of coffee consumers has become more sophisticated, Binggrae developed a premium product by differentiating the product processing method and by using higher-quality Arabica beans. After launching the new product, the company also employed a well-designed communication strategy. First, Binggrae was able to confirm the level of market demand and market potential for the product by employing BTL (Below the Line) marketing strategies through the consumers' word-of-mouth. Afterwards, the company invested its resources for a full-scale ATL (Above the Line) marketing campaign. Later a Café la's TV commercial effectively portrayed the product's characteristics, and succeeded in raising consumer awareness of the product. As a result, a Café la has become the bestselling brand in the PET bottle coffee market. The successful new product marketing strategy of Binggrae'sa Café la offers many valuable implications for companies planning to launch new products in the future.

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Product Variety Modeling Based on Formal Concept Analysis

  • Kim, Tai-Oun
    • Industrial Engineering and Management Systems
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    • v.9 no.1
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    • pp.1-9
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    • 2010
  • Increasing product variety based on product family and product platform provides a company with a competitive advantage over its competitors. As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative and coordinating efforts for 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. Formal Concept Analysis (FCA) is used for analyzing data and forming semantic structures that are formal abstractions of concepts of human thoughts. A Web Ontology Language (OWL) is designed for applications that need to process the content of information instead of simply presenting information to humans. OWL also captures the evolution of different components of the product family. The purpose of this paper is to develop product variety modeling to increase the usefulness of common platform. In constructing and analyzing product ontology, FCA is adopted for conceptual knowledge processing. For the selected product family, product variety Ontology is constructed and implemented using prot$\'{e}$g$\'{e}$-2000.

Impact of Product and Service Quality on Service and Product Loyalty in a Automobile Industry (자동차의 제품 품질, 서비스 품질이 서비스 충성도, 제품 충성도에 미치는 영향에 대한 연구)

  • Bae, Hye Jeong;Rhim, Hosun;Shin, Hojung;Yang, In-Seok;Yoo, Seuck-Cheun
    • Journal of Korean Society for Quality Management
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    • v.40 no.4
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    • pp.599-614
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    • 2012
  • Purpose: We measure service quality based on service process, and examine relationships among product quality, product and service loyalty. Methods: We develop a construct to evaluate process based service quality. We collect data from customers of auto maintenance centers to measure perceived product quality, service and product quality. We test relationships between constructs using structural equation model and regression analysis. Results: Relationships among perceived-product quality, service quality, service loyalty, and product loyalty are all significant. Conclusion: Perceived-product quality has a indirect impact through service quality and loyalty in addition to a direct impact on product loyalty.

Coordination of Product Variety and Delayed Product Differentiation (제품 다양화와 제품 차별화 지연 생산의 조화)

  • Lee Ho-Chang
    • Journal of the Korean Operations Research and Management Science Society
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    • v.31 no.2
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    • pp.57-67
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    • 2006
  • One of challenging issues of market oriented manufacturing organization is product proliferation. However, increasing product variety not only incurs additional direct and indirect production cost, but also aggravates production system performance such as inventory level, customer lead time and fill rate. Recently, as one of the most beneficial strategic choices to menage the risks associateed with product variety and uncertain sales, special attention is focused on the product/process redesign to delayed product differentiation. In this paper, we develop an analytical model to demonstrate the existence of an optimal level of product differentiation, which can be used to provide theoretical basis in establishing market oriented SCM strategy.

An Integer Programming Model and Heuristic Algorithm to Minimize Setups in Product Mix (원료의 선택 및 혼합비율의 변경 횟수를 최소화하기 위한 정수계획법 모형 및 근사해 발견 기법(응용 부문))

  • Han, Jung-Hee;Lee, Young-Ho;Kim, Seong-In;Shim, Bo-Kyung
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.127-133
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    • 2006
  • Minimizing the total number of setup changes of a machine increases the throughput and improves the stability of a production process, and as a result enhances the product quality. In this context, we consider a new product-mix problem that minimizes the total number of setup changes while producing the required quantities of a product over a given planning horizon. For this problem, we develop a mixed integer programming model. Also, we develop an efficient heuristic algorithm to find a feasible solution of good quality within reasonable time bounds. Computational results show that the developed heuristic algorithm finds a feasible solution as good as the optimal solution in most test problems. Also, we developed a web based scheduling and monitoring system for a zinc alloy production process using the developed heuristic algorithm. By using this system, we could find a monthly zinc alloy production schedule that significantly reduces the total number of setup changes.

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Factors Influencing Purchase Intention on Private Label Products

  • MAHARANI, Nina;HELMI, Arief;MULYANA, Asep;HASAN, Meydia
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.939-945
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    • 2020
  • This study aims to develop propositions about the factors that influence the purchase intention of private label products. These factors are: in-store promotion, visual merchandising, store image, and customer value. This study elaborates on some of the results of previous studies that have examined the factors that influence purchase intention of private label products that have been published on Google Scholar and indexed by Scopus between 1991- 2020, to develop a proposition. This paper fills a lack of Studies which discuss purchase intention from a consumer behavior perspective. From the perspective of consumer behavior, purchase intention is influenced by three factors, namely: intrinsic factors including: consumer value, extrinsic factors including: in-store promotions, visual merchandising and store image, and consumer factors. This paper defines purchase intention as the effort and strong urge to buy a particular product in the future, the possibility of considering buying the product, the decision to rebuy the product and the desire to recommend the product. The main findings of this research are several propositions, namely: in-store promotion, visual merchandising and store image directly affect customer value and purchase intention. The following propositions are: In-store promotion, visual merchandising and store image influence purchase intention mediated by customer value.

The Impact of Service Perceptions and Product Perceptions on the Formation of Fashion Internet Shoppers' Satisfaction and Purchasing Behavioral Intentions

  • Lee, Seung-Min;Ku, Yang-Suk
    • Fashion & Textile Research Journal
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    • v.3 no.5
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    • pp.395-402
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    • 2001
  • The purpose of this study was to develop the service and product perceptions' dimensions for fashion retail sites and to identify the service and product perceptions' dimensions influencing consumers' satisfaction and purchasing behavioral intentions for fashion retail sites. A set of self-administered questionnaires were e-mailed to an internet Research Panel consisting of members who had purchased fashion products or visited fashion retail sites. 799 questionnaires were analysed using frequency, percentage, exploratory factor analysis. Cronbach's ${\alpha}$, stepwise regression analysis utilizing SPSS 10.0. The service perception dimensions of fashion retail sites had reliability, convenience, incentive, responsiveness and tangibility. Online fashion product perception dimensions were product variety and product value. Consumer satisfaction was influenced by reliability, product variety, product value, convenience, incentive and responsiveness. Consumer satisfaction had a direct impact on purchasing behavioral intentions of fashion retail sites.

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