• Journal of Korean Society for Quality Management
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• v.20 no.1
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• pp.39-47
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• 1992

This paper is concerned with cost analysis and determination of warranty period in a stepdown warranty policy. Manufacturer's warranty cost is analyzed for nonrepairable item, where the warranty is assumed to be renewed at any failure within the warranty period. It is shown that from this result in free replacement policy, pro-rata policy and hybrid policy can be easily calculated. The method of determining optimal warranty period is also explored.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.11 no.17
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• pp.55-65
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• 1988

This article suggests the costs analysis of resumer's view under the stepdown warranty is renewd whenever a failure occurs in the warranty period. And the general warranty policy is showed such as free replacement policy prorata warranty policy, hybrid warranty policy. In this respect case, the cost of consumer is also calculated. In order to study the cost analysis of consumer. "RENEWAL THEORY" is introduced and the cost of consumer is calculated.alculated.

• Journal of Korea Technology Innovation Society
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• v.11 no.1
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• pp.46-71
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• 2008

Although the volume of mobile internet services has increased continually over the years, the rapid diffusion has still fallen short of expected quality. This paper considers mobile internet service industry in Korea as a system failure due to structural problems and attempts to identify systemic imperfection mechanisms from the supply side. The problems of mobile internet industry in Korea are categorized into interaction failures, institutional failures and capabilities failures which contribute to system failure and at the same time, failure types are linked to each other. It is needed to improve policy and institutions in operation and develop new policy for contents providers to promote mobile internet industry. This research findings will contribute to policy making to promote mobile internet service industry and development of sectoral system for emerging industries.

• Industrial Engineering and Management Systems
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• v.12 no.1
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• pp.63-72
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• 2013

The aim of this paper is to analyse the impacts of R&D cooperation and obstacles to technological innovation on the innovation failure of the Korean manufacturing firms. Two hierarchical regression models including interaction variables are employed for the analysis. Some interesting findings are: first, almost all the obstacles have positive and significant effects on the failure. Second, R&D cooperation positively or negatively moderates the impact of obstacles to technological innovation on the innovation failure, although R&D cooperation itself is not directly related to the failure. Third, the interaction effects between the cooperation and the obstacles influence the failure in various manners. This study is expected to help manufacturing firms which are under unfavourable environments to formulate their cooperation strategies successfully based on what they learn from the failure.

• Asian Journal of Innovation and Policy
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• v.6 no.1
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• pp.23-44
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• 2017

This study explores how the technology commercialization process leads to either success or failure after transfer from PROs to SMEs by conducting a binomial logistic regression analysis. We found that the more additional development a firm implements on the transferred technology, the more likely the commercialization is to fail. The higher number of alternative technology and bigger market risk are associated with a greater likelihood of failure. On the other hand, the existence of complementary technology, the degree of cooperation with the technology provider, the size of the target market, the willingness of the CEO, and the funding availability are known to have positive effects on the success of technology commercialization. In addition, the case studies we conducted from the sample companies demonstrated that "market uncertainty," "technological issues depending on the technology-specific characteristics," and "a lack of funding capability" are some of the causes for failure of technology commercialization.

• IE interfaces
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• v.15 no.1
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• pp.64-72
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• 2002

Broaching machine is widely used for machining inner shaped slots in the work-pieces, and provides vertical motion (usually hydraulically powered) between tool and work-piece. In this study, we modelled the tool life process and investigated economic tool life of broaching machine. Tool life process is divided into wear-process and succeeding failure process. Wear process is defined as machining wear and failure process as 'chipping' occurred by random shock. We modelled wear process as linear regression function for products amounts and assumed failure process as Poisson process. Economic tool life is defined as the number of lots which minimizes average tool related cost per lot and analyzed by using age replacement policy technique. As tool-related cost factors, we consider tool replacement cost, tool maintenance cost and quality costs of products. The results of this study can be applied to analyze life process of general machining tools.

• Journal of the military operations research society of Korea
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• v.18 no.1
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• pp.110-127
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• 1992

In the preventive replacement policies of system that the failure can be detected through only periodic inspection, there is a penalty cost associated with the lapsed time between system failure and its detection. The system under study is replaced if the system fails before $n^{th}$ inspection, otherwise, preventive replacement is performed at the $n^{th}$ inspection. The decision variables are the inspection interval and the period of preventive replacement. This study presents the optimal preventive replacement policy that minimizes the long-run expected cost per unit time.

• Asian Journal of Innovation and Policy
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• v.8 no.3
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• pp.396-416
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• 2019

The key conditions for the promotion of innovative technology-based start-ups are expanding the market for innovative technology products and services, increasing equity-based funding opportunities, promoting the commercialization of technological innovation, and establishing a fair-trade system for start-ups to compete fairly in the market. Besides, there is a need for a support system that minimizes the cost of failure in case of business failure to facilitate re-challenge and provides education and training opportunities to enhance entrepreneurial capabilities. To activate technology-based start-ups, the Korean government introduced the TIPS policy in 2013. It is a program that creates technology start-up with private investment led by successful venture entrepreneurs, which has shown remarkable achievement and is regarded as the most successful policy in this field up to now. The most critical factor contributed to the success of this program is to invite private investors to select a technology entrepreneurship team and provide mentoring with the investment. The government provides R&D funding with matching investment, commercialization and marketing support to ensure that technology start-ups survive crossing the death-valley. Subsequent investments from domestic and abroad investors are actively made and it is becoming a representative technology-based start-up program in Korea.

• International Journal of Advanced Culture Technology
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• v.5 no.3
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• pp.56-66
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• 2017

E-Government is an administrative innovation that utilizes information technology and is the most powerful means to strengthen government competitiveness. At this moment, countries around the world are continuously improving government competitiveness by continuously implementing government innovation through the implementation of e-Government. Many scholars argue that e-Government should be changed in response to the Fourth Industrial Revolution. Therefore, Korea adopted the government 3.0 instead of the e-Government and promoted the information policy. But the result was a failure. Korea was once a leading country in e-Government, but now it is falling due to government 3.0. The reason can be analyzed in various ways. First of all, over the past decade, Korea's e-Government has been neglected without obtaining the permanence of policy. And the Korea government pursued a new strategy under the name of disconnecting from the past and lost policy permanence. Therefore, future information policy, especially e-Government policies, should be pursued from a politically neutral point of view. The lesson of government 3.0 failure in Korea is clear. Regardless of the government's replacement & regime change, the information policy should be pursued with consistency.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.96-104
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• 2017

A one-shot system (device) refers to a system that is stored for a long period of time and is then disposed of after a single mission because it is accompanied by a chemical reaction or physical destruction when it operates, such as shells, munitions in a defense weapon system and automobile airbags. Because these systems are primarily related with safety and life, it is required to maintain a high level of storage reliability. Storage reliability is the probability that the system will operate at a particular point in time after storage. Since the stored one-shot system can be confirmed only through inspection, periodic inspection and maintenance should be performed to maintain a high level of storage reliability. Since the one-shot system is characterized by a large loss in the event of a failure, it is necessary to determine an appropriate inspection period to maintain the storage reliability above the reliability goal. In this study, we propose an optimal inspection policy that minimizes the total cost while exceeding the reliability goal that the storage reliability is set in advance for the one-shot system in which periodic inspections are performed. We assume that the failure time is the Weibull distribution. And the cost model is presented considering the existing storage reliability model by Martinez and Kim et al. The cost components to be included in the cost model are the cost of inspection $c_1$, the cost of loss per unit time between failure and detection $c_2$, the cost of minimum repair of the detected breakdown of units $c_3$, and the overhaul cost $c_4$ of $R_s{\leq}R_g$. And in this paper, we will determine the optimal inspection policy to find the inspection period and number of tests that minimize the expected cost per unit time from the finite lifetime to the overhaul. Compare them through numerical examples.