• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.435-439
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• 2010

The purpose of this paper is to design a new management model based on the grill-formed product charscteristic area(PCA) which specify the position of products classified by the level of market and technology. This product characteristic area is composed of 9 cells and the cases sorted by market and technology are analyzed by each cell. Conclusion of this study based on many significant results gained by the various multi-variate analysis is summarized as follows; First, it can be noted that success/failure factor and progress stages are different by each cell. Second, a new management model is designed by combining the Motive Resource, Success/Failure(S/F) factors, and Progress Stages of New Product Development. Third, success products featured a balance between marketing oriented and technically oriented activities. A new attemp that combine S/F factors with development stages by each product cell will be of great usefulness for further study.

• Corrosion Science and Technology
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• v.4 no.5
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• pp.201-206
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• 2005

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 r-reliability (failure rate) and durability (product life) are explained. The conceptual analysis of failure mechanics explains that reliability technology pertains to design area. The desirable shape of hazard rate curve of electronic items, hockey-stick line, clarifies that Mean-Time-to-failure (MTTF) as the inverse of failure rate can be regarded a nominal life. And Bx life, different from MTTF, is explained. Reliability relationships between components and set products are explained. Reshaped definitions of r-reliability and durability are recommended. The procedure to improve reliability and the reasons for failing to identify failure mode are clarified in order to search right solutions. And generalized Life-Stress failure model is recommended for the calculation of acceleration factor.

• Journal of Korean Society for Quality Management
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• v.21 no.2
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• pp.102-108
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• 1993

The purpose of burn-in is to eliminate the early failures of the products before they are delivered for customer use. Therefore burn-in should he continued until one is reasonally sure that all the weak items have failed, thus leaving the remaining items in a healthy state of reliability. From this point of view, burn-in time dependent costs such as a cost per product per burn-in time, and cost of repair of the product per failure occurred during burn-in time will he increased. Conversely, the cost of field repair of the product per failure occurred during the guarantee period will be decreased since the early failure of the product is fully eliminated during burn-in. Hence, this paper intend to determine optimal burn-in time which minimize the total of above costs associated with burn-in.

• Journal of Korean Society for Quality Management
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• v.34 no.1
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• pp.20-26
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• 2006

In the fields of mechanical reliability application, "zero" or "zero or one" failure tests are most commonly used for demonstrating reliability of a product since they reduce test duration and/or sample size compared to other test methods that guarantees the same reliability of a product with a given confidence level or consumer's risk. The test duration of the "zero or one" failure test is longer than that of "zero" failure test but it has advantage of smaller producer's risk. In this paper a two-stage test is developed that compromises the "zero" and "zero or one" failure tests. The properties of the proposed two-stage test are investigated and the three test methods are compared using a numerical example.

• Journal of the Korean Institute of Gas
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• v.7 no.4 s.21
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• pp.30-35
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• 2003

Product liability(PL) law imposes the liability on manufacturer or wholesaler when the product defects cause harm to consumers of the products or any other parties in their lives, bodies, or properties. In Korea, the law of product liability was enforced in July 2002. In this study the Product Liability Response System of chemical products was developed by using Failure Mode and Effect Analysis(FMEA). For a case study peformed for N,N-Dimethylethylamine. First, product information was gathered through Material Safety Data Sheet(MSDS)and which considered as an instruction manual of chemical product. And an effect caused by product defects is analyzed by FMEA to get Risk Priority Number(RPN) which is calculated by multiplying of severity, occurrence, and detection of the defects. Then hazard was estimated quantitatively by RPN.

• Journal of Korean Society for Quality Management
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• v.28 no.4
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• pp.67-74
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• 2000

A Bayesian burn-in procedure is developed for imited failure populations in which defective items fail soon after they are put in operation and non-defective ones never fail during he technical life of the items. Sequential schemes guaranteeing pre-specified outgoing quality of a product are derived based on prior information on the quality of a product and accumulated failure information up to the decision point. A numerical example is also provided.

• Proceedings of the Korean Reliability Society Conference
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• 2005.06a
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• pp.147-155
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• 2005

When a failure or fault is detected, the product is adjusted or design change and is returned to its original condition before the failure or fault. Continuous improvement of the FMEA system is to determine an optimum product reliability that minimizes the total cost per unit time associated with inspection, repair, and the nondetection cost.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.30-39
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• 2024

This study introduces a novel approach for identifying potential failure risks in missile manufacturing by leveraging Quality Inspection Management (QIM) data to address the challenges presented by a dataset comprising 666 variables and data imbalances. The utilization of the SMOTE for data augmentation and Lasso Regression for dimensionality reduction, followed by the application of a Random Forest model, results in a 99.40% accuracy rate in classifying missiles with a high likelihood of failure. Such measures enable the preemptive identification of missiles at a heightened risk of failure, thereby mitigating the risk of field failures and enhancing missile life. The integration of Lasso Regression and Random Forest is employed to pinpoint critical variables and test items that significantly impact failure, with a particular emphasis on variables related to performance and connection resistance. Moreover, the research highlights the potential for broadening the scope of data-driven decision-making within quality control systems, including the refinement of maintenance strategies and the adjustment of control limits for essential test items.

• Transactions of Materials Processing
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• v.32 no.5
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• pp.247-254
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• 2023

This study conducted the wear tests on bending punches coated with PVD CrN and examined the surface quality of the product formed by each punch in the forming of uncoated TRIP1180 sheets. The study quantitatively estimated the surface quality of the product by measuring the roughness and imaging the product surface. The correlation between the punch wear depth and the product surface roughness was quantitatively analyzed. The results showed that before failure occurs, the product roughness was comparable with that of the as-received, and the product surface was smooth without scratches and defects. However, after failure, the punch wear is caused by fretting wear mechanism, and a punch whose coating is not completely peeled plows the product surface, resulting in severe scratches with grooves and ridges on the product surface. Severe wear on the punch surface caused by fretting wear can rapidly degrade the product surface quality as it is directly affected by the punch surface condition, and the product surface quality accurately reflects the punch wear condition.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.93-116
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• 2006

The purpose of this study is to contribute reference material that provides insight into innovative process management that increases R&D output in commercializing new products. A model of a process from research to commercialization with the cumulative profit and loss curve is put forward and hypotheses related to success and failure are developed at the stages up to product launch. Seventeen large projects that have resulted in successful product launches have been examined from the initial research stage to commercialization. Prefect duration, standardized cumulative R&D expenditures and research resource concentration are analyzed in terms of statistical method and patterns in cumulative profit and loss curves after product sales, as well as the reasons for and other aspects of success/failure are investigated and analyzed. Consequently, valuable information on future management tasks has been obtained such as: (1) project duration differs depending on market sectors, product types and presence/absence of materials research (2) cumulative profit and loss curves can be categorized into four patterns (3) reasons for failure can be divided into technological and market problem categories and (4) these factors have an impact on product sales.