• 마케팅과학연구
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• 제18권1호
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• pp.33-58
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• 2008

본 연구는 서비스실패가 아니라 제품실패 이후, 회복노력의 효과를 실패심각성에 따라 확인하는 것이다. 회복노력은 보상노력, 장점노력 및 단점노력으로 구분되었다. 보상노력은 실패상황을 직접적으로 되돌리려는 의도로 구체적인 보상을 제공하는 방안으로, 장점노력은 제품실패를 초래하는 이유가 특정한 장점을 추구하는 과정에서 불가피하게 발생할 수 있는 문제임을 언급하는 것과 같이 추가적인 상대적 장점을 설명하는 방식으로, 그리고 단점노력은 자사제품이 서비스실패를 초래할 수 있는 문제점을 지니고 있는 반면에 경쟁제품은 또 다른 측면의 단점을 지니고 있다는 점을 부각시켜 소비자의 자사제품에 대한 부정적 태도를 회복시키려고 방안이라고 개념화되었다. 그러한 회복노력들이 실질적으로 효과가 있다고 결론을 내리기 위해서, 회복노력이 제공되지 않는 상황과 비교하여 소비자의 태도나 의향이 우호적인지 검토된다. 가설검증을 위해 화장품산업에서 소비자들을 대상으로 가상적인 시나리오를 이용한 실험을 실시하였다. 연구 결과, 전반적으로 회복노력들은 효과적인 전략임이 확인되었고, 보상노력은 장점노력이나 단점 노력보다 효과적이었다. 특히 심각성이 높은 실패조건에서 단점노력은 장점노력보다 긍정적인 제품태도를 유도하였다. 심각성이 낮은 실패조건에서 장점노력과 장점노력의 효과는 기대할 수 없었다.

• 산업경영시스템학회지
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• 제41권2호
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• pp.84-94
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• 2018

In recent years, the diminishing of operation and maintenance cost using advanced maintenance technology is attracting many companies' attention. Especially, the heavy machinery industry regards it as a crucial problem since a failure of heavy machinery requires high cost and long downtime. To improve the current maintenance process, the heavy machinery industry tries to develop a methodology to predict failure in advance and to find its causes using usage data. A better analysis of failure causes requires more data so that various kinds of sensor are attached to machines and abundant amount of product usage data is collected through the sensor network. However, the systemic analysis of the collected product usage data is still in its infant stage. Many previous works have focused on failure occurrence as statistical data for reliability analysis. There have been less works to apply product usage data into root cause analysis of product failure. The product usage data collected while failures occur should be considered failure cause analysis. To do this, this study proposes a methodology to apply product usage data into failure cause analysis. The proposed methodology in this study is composed of several steps to transform product usage into failure causes. Various statistical analysis combined with product usage data such as multinomial logistic regression, T-test, and so on are used for the root cause analysis. The proposed methodology is applied to field data coming from operated locomotive and the analysis result shows its effectiveness.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.205-211
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• 2002

The purpose of this paper is 1) to extract managerial factor into each cell which is classified by the characteristic grill of new products 2) to construct a management model of new product development for korean companies. For this purpose, the characteristic grill of new products is classified by which is market/technology sphere. Moreover the focus of this analysis is on examination of success/failure factors, which have an important effect upon new product success or failure. The variables for this study were selected from literature survey and pre-interview was implemented specially. The subject of study was project leaders of electronics industry where have taken the leading part in product development activities in Korean manufacturing industries. Enquete survey was conducted in each firm and project managers were asked to respond. Conclusion of this study based on many significant results gained by the various multi-variate analysis are summarized as follows. First, it can he noted that success/failure factors are different by each classified model and characteristic grill of a new product. Second, it has been identified that the important factors of success products were technical & management support and market ability, the important factor of failure product were lacking in ability of technical development and R&D management system construction. This paper presents some useful guidelines in strategic and managerial aspects for development of new products. Concurrently, the model of this study should be a great practical approach for application of actual affairs.

• International Journal of Human Ecology
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• 제6권2호
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• pp.63-72
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• 2005

This paper considered the impact of changing the product liability rule from consumer to producer liability on product safety under asymmetric information. In particular, it has been attempted to remove several constraints on antecedent studies. The main results of the study are as follows: under the misperception of the risk on a product, consumers may underestimate the probability of product failure. In this case, the accident rate can be lowered under the producer's liability rule. However, even under the asymmetric information, a consumer's estimation on the probability may be converged with the expected risk level, which could be called the 'rational expectation.' In this situation the probability of product failure can be lowered under the strict liability with contributory negligence. Additionally, it is possible to reduce the probability of product failure when a legal rule that imposes liability on cheapest cost avoider is admitted.

• 대한산업공학회지
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• 제40권4호
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• pp.366-374
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• 2014

This study assessed and analysed a result of a product design experiment through Product Data Analytics (PDA), to find reasons for failure of some projects in the experiment. PDA is a computer-based data analysis that uses Product Data Management (PDM) databases as its operational databases. The study examines 20 product design projects in the experiment, which are prepared to follow same product development process by using an identical PDM system. The design result in the PDM database is assessed and analysed by On-Line Analytical Processing (OLAP) and data mining tools in PDA. The assesment and analysis reveals the lateness in creation of 3D CAD models as the main reason of the failure.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.46-57
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• 2022

In this paper, we proposed the DFMEA Implementation Method for safety design of Weapon System. First, we presented the process for DFMEA. And then, the case analysis of OOO missile was performed in accordance with the process presented. After defining the system requirements of OOO missile, failure definition scoring criteria was set. In order to clarify the definition of failure, the failure was classified into safety, reliability, maintainability and others. After performing the function analysis, the relationship matrix analysis was performed to identify the failure mode according to the function without omission. After clarifying the failure classification, mode of failure, cause of failure and effect were analyzed to calculate the severity, occurrence and detection values. After the action priority was judged, the recommended action according to the failure classification was identified for the determined action priority. The results of this study can be used as a relevant basis for the design reflection and resource re-allocation of stakeholders.

• 산업경영시스템학회지
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• 제20권41호
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• pp.113-122
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• 1997

The purpose of this study is to extract managerial factor into each cell which is classified by the characteristic area of new products. For this purpose, the characteristic area of new products is classified by which is Needs & Seeds Basis. The focus of this study is on examination of failure factors, which have an important effect upon new product failure. The variables for this study were selected from literature survey and pre-interview was implemented specially. The subject of study was project leaders of electronics industry where have taken the leading part in product development activities in Korean manufacturing industries. Enquete survey was conducted in each firm and project managers were asked to respond to 37 questions. Conclusion of this study based on many significant results gained by the various multi-variated analysis are summarized as follows. First, it can be noted that failure factors are different by each classified model and characteristic area of a new product. Second, it has been identified that the important factors for the new product development were technical & managerial support and it's ability, namely, the crucial factors of failure product were lacking in ability of technical development and R&D management system construction.

• 대한산업공학회지
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• 제25권2호
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• pp.204-216
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• 1999

Failure physics and statistical lifetime analysis constitute the two extreme ends of the reliability engineering spectrum, and studies that relate failure mechanisms to failure distributions have been near non-existent. This paper is an attempt to stimulate interest to fill the gap between the two extremes and proposes an approach of combining them through i) developing a failure mechanism model, ii) generating failure times by Monte Carlo simulation with the model, iii) deriving the failure time distribution and evaluating the product reliability, and iv) improving the product reliability by the sensitivity analysis. An application of the proposed approach to the BGA(Ball Grid Array) surface mount package is also provided.

• International Journal of Reliability and Applications
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• 제2권3호
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• pp.161-187
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• 2001

Starting with the meaning of the word quality, diverse concepts connoted by the term are examined. Instead of a bathtub curve, the desirable shape of a failure rate covering the entire life of a good product, which might be called hockey-stick line, is introduced. From the hockey-stick line and the definition of reliability, two measurements are extracted. The terms reliability, failure rate, product life, and durability are explained. From the customer's standpoint, the concept of product quality is classified in five factors, according to related technology: performance, reliability, conformance to specifications, customer perception, and fundamentals advantage. The correlation of the five factors for a first-class product is discussed, Since the market share of a company is determined as the competition result of its product value, defined as product quality and price, the market share increase is derived mathematically from the increment of product value. The market share increase, $\Delta$S, can be calculated from the present market share, S, and the oriented relative value increment of new product, R, to the current product in the same company for the same market target: $\Delta$S : $\Delta$(1-S). R/(1+S.R). Finally, the importance of separating warranty cost from the profit equation for the durables is explained.

• 디지털융복합연구
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• 제15권8호
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• pp.69-83
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• 2017

본 연구의 목적은 갤럭시노트7의 예를 들어 신제품의 실패를 시스템 안전분석 기법을 활용해 체계적으로 분석하는 것이다. 이러한 분석을 통해 제품실패의 근본적인 원인을 찾고 그 원인으로 발생하는 문제를 해결함으로써 사건재발을 방지하는데 도움이 되는 정보를 제공하고자 한다. 이를 위해 제품실패를 단순히 기술적 실패로 바라보는 것이 아니라 제품개발과 경영관리가 포함된 하나의 통합 시스템으로 바라보며, 그에 대한 실패의 근본적인 원인들을 분석할 필요가 있다. 이러한 관점을 갖고 시스템 안전분석 기법인 근본원인분석과 고장수목분석을 활용해 갤럭시노트7의 제품실패 원인을 분석하였다. 이러한 분석과정을 통해 배터리 과열이라는 피상적인 기술적 문제와 더불어 경쟁사와의 지나친 경쟁에 따른 무리한 제품출시와 성과주의와 같은 제품개발 및 경영관리에서의 문제에도 많은 관심을 기울일 필요가 있음을 파악하였다. 또한 통합 시스템적 관점을 견지한다면 제품실패의 원인을 분석하는데 근본원인분석과 고장수목분석이 유용하게 이용될 수 있음을 확인할 수 있었다.