• 한국디자인학회:학술대회논문집
• /
• 한국디자인학회 2001년도 Bulletin of The 5th Asian Design Conference International Symposium on Design Science
• /
• pp.63.2-63
• /
• 2001

• 한국디자인학회:학술대회논문집
• /
• 한국디자인학회 2002년도 가을학술발표대회 디자인학 연구
• /
• pp.46-47
• /
• 2002

• 한국디자인학회:학술대회논문집
• /
• 한국디자인학회 2003년도 가을학술발표대회
• /
• pp.116-117
• /
• 2003

• 산업기술연구
• /
• 제29권B호
• /
• pp.95-100
• /
• 2009

Recently, SID (Sustainable Industrial Development) or green growth is the major concern of industries. EIP (Eco Industrial Park) is one of the important part of SID which aims to improve eco-efficiency of resources such as material, energy and water. In this study, current status of Banwol & Sihwa industrial complex relating EIP was investigated and the plan to design of Banwol & Sihwa EIP was suggested.

• 한국산학기술학회논문지
• /
• 제14권7호
• /
• pp.3203-3210
• /
• 2013

본 기업 경쟁력 향상의 새로운 척도로 디자인의 중요성이 부각되면서 종합적인 관점에서 디자인을 진단해주는 디자인컨설팅에 관한 관심이 높아지고 있다. 그러나 대기업에 비해 중소기업은 디자인을 접할 기회가 부족하여 디자인의 중요성을 간과하는 경우가 많고 중요성을 알고 있다 해도 실제로 디자인에 투자할 자금력이 부족한 실정이다. 이에 본 논문은 2012년 부산디자인센터의 산업단지 중소기업 디자인지원 사업을 통해 산업단지 중소기업의 디자인 현황과 디자인컨설팅 성과를 분석하고 디자인컨설팅이 중소기업의 경쟁력 향상과 디자인 인식 개선에 어떤 영향을 주었는지 분석해보았다. 그 결과 대부분의 기업이 현재 자사 디자인에 만족하지 않고 있음에도 디자인에 대해 투자를 하지 않거나 뒤로 미루는 경우가 많았다. 그러나 컨설팅 이후 디자인의 중요성을 깨달은 65.6%의 중소기업이 디자인 개발을 진행했으며 그들 기업은 개선된 기업이미지와 제품 이미지를 통해 매출 상승효과를 가져왔다. 이는 디자인컨설팅이 중소기업의 경쟁력 향상과 디자인 인식 개선의 중요한 매개체 역할을 한 것으로 판단된다. 앞으로 중소기업에 직접적인 도움을 줄 수 있는 보다 심화된 디자인 진단 프로세스가 필요하며 국가사업 및 디자인 전문 업체와의 연계 등 꾸준한 사후관리를 통해 실질적인 디자인 개발 프로그램이 마련되는 디자인 컨설팅 지원 사업이 되기를 기대해본다.

• 한국산학기술학회논문지
• /
• 제12권8호
• /
• pp.3452-3457
• /
• 2011

본 논문은 공학교육과정에서 사용되는 캡스톤디자인 교과목에 대한 평가체계의 개발 사례를 소개한다. 캡스톤디자인은 대학 과정에서 배운 전문지식을 종합적으로 활용하여, 산업현장의 문제를 분석하고 해결책을 설계하는 교과목이다. 본 논문에서는 캡스톤디자인 교과목과 관련된 기존의 평가 요소, 평가 방법 및 절차를 설명한다. 이를 기반으로 개발된 캡스톤디자인 평가체계를 소개한다. 본 논문에서 제시한 캡스톤디자인 교과목의 학습성과 평가체계는 타대학의 캡스톤디자인 교과목 운영 시 일부 참고될 수 있으며, 산학이 연계된 교육 및 인턴 프로그램 개발 시 평가체계 설계를 위해서도 사용될 수 있다.

• 대한산업공학회지
• /
• 제28권4호
• /
• pp.407-414
• /
• 2002

The inherent reliability of a product is primarily determined in the design stage, and therefore, design engineers should be able to design reliability into the product in an efficient manner. Especially, the product should be designed such that its reliability is robust to various noise factors encountered in production and field environments. The Taguchi method can be effectively used for this purpose. However, there exist only a few attempts to integrate the Taguchi method with reliability design, and in addition, the existing works do not sufficiently consider the robustness and/or the distinction between noise and acceleration factors. This paper develops a unified approach to robust reliability design assuming that accelerated life tests are conducted at each combination of design and noise conditions. First, an experimental structure for assigning not only acceleration but also noise factors is presented. Second, the reliability at the use condition is estimated using the assumed accelerated life test model. Third, reliabilities are transformed into 'efforts' using an effort function which reflects the degree of difficulty involved in improving the reliability. Finally, an optimal setting of design parameters is determined based on the mean and standard deviation of the effort values. The above approach is illustrated with an example of a paper feeder design.

• Journal of Computational Design and Engineering
• /
• 제2권3호
• /
• pp.157-164
• /
• 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.

• Industrial Engineering and Management Systems
• /
• 제7권2호
• /
• pp.182-188
• /
• 2008

Automated parking systems, which automatically park and retrieve vehicles, have been steadily replacing conventional parking systems. The spiral parking system is a type of automated parking systems that has cylindrical parking tower. We develop an economic design model of spiral parking system based on a recursive optimization and simulation procedure in which the dynamic nature of the parking system can be integrated into the mathematical programming model. The optimal values of design parameters are found that gives the minimum total cost while complying with the desired performance of the system.

• 산업경영시스템학회지
• /
• 제32권3호
• /
• pp.135-141
• /
• 2009

A variety of statistical methods are applied to model and optimize responses, related to product or system's quality, in terms of control and noise factors at design and manufacturing stages. Most of them assume continuous response variables but, assessing the performance of a product or system often involves categorical observations, such as ratings and scores. Although most previous works to deal with the categorical data provide sorhisticated response models and ensure unbiased outcomes, they require heavy computation to estimate the model parameters, as well as enough replications. In this study, we present some practical approaches for optimal parameter design with ordered categorical response when only a few or no replication is available. Two real-life examples are given to illustrate the presented methods.