• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.130-139
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• 2016

The purpose of this paper is to analyze the problems and the sources of defective products and draw improvement plans in a small plastic boat manufacturing process using TOC (Theory Of Constraints) and statistical analysis. TOC is a methodology to present a scheme for optimization of production process by finding the CCR (Capacity Constraints Resource) in the organization or the all production process through the concentration improvement activity. In this paper, we found and reformed constraints and bottlenecks in plastic boat manufacturing process in the target company for less defect ratio and production cost by applying DBR (Drum, Buffer, Rope) scheduling. And we set the threshold values for the critical process variables using statistical analysis. The result can be summarized as follows. First, CCRs in inventory control, material mix, and oven setting were found and solutions were suggested by applying DBR method. Second, the logical thinking process was utilized to find core conflict factors and draw solutions. Third, to specify the solution plan, experiment data were statistically analyzed. Data were collected from the daily journal addressing the details of 96 products such as temperature, humidity, duration and temperature of heating process, rotation speed, duration time of cooling, and the temperature of removal process. Basic statistics and logistic regression analysis were conducted with the defection as the dependent variable. Finally, critical values for major processes were proposed based on the analysis. This paper has a practical importance in contribution to the quality level of the target company through theoretical approach, TOC, and statistical analysis. However, limited number of data might depreciate the significance of the analysis and therefore it will be interesting further research direction to specify the significant manufacturing conditions across different products and processes.

• Journal of Veterinary Clinics
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• v.39 no.1
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• pp.9-15
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• 2022

As more veterinary clinics become specialized with the growth of the companion animal market, an increasing number of veterinary clinics perform orthopedic surgery and use orthopedic products, some of which are defective and have side effects. Thus, the present study aimed to prepare fundamental data for the revision and development of manufacturing standards for these products in order to prevent their side effects. We conducted a survey targeting veterinary clinics as consumers and medical device companies as suppliers. Veterinary clinics were surveyed via offline and online methods; 320 clinics that offered orthopedic surgery and approximately 4,000 veterinary clinics that were registered in the Korean Veterinary Medical Association were targeted, and 153 veterinary clinics responded to the survey. The survey for medical device companies, was performed online, targeting 29 companies; 14 companies responded. The number of side effects of orthopedic products was higher in animal orthopedic products than in those for human use. Many consumers tended to suspect that side effects were caused by product defects. To resolve side effects after using orthopedic products, consumers mostly underwent reoperation. Meanwhile, some severe cases proceeded to legal disputes. Similarly, medical device companies, or the suppliers, responded that most side effects occurred in veterinary orthopedic products and that product defects and mistakes in use were the causes. As for most of the follow-up actions for side effects, these companies either reported the issue to those in charge or analyzed and resolved the issues themselves. Therefore, to develop quality products, suppliers should be provided with clear standards for the production, and information disclosure and a report system for side effects should be particularly established to gain consumers' trust regarding the safety of these products.

• Genomics & Informatics
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• v.18 no.1
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• pp.4.1-4.6
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• 2020

Transposable elements (TEs) constitute approximately half of Bovine genome. They can be a powerful species-specific marker without regression mutations by the structure variation (SV) at the time of genomic evolution. In a previous study, we identified the Hanwoo-specific SV that was generated by a TE-association deletion event using traditional PCR method and Sanger sequencing validation. It could be used as a molecular marker to distinguish different cattle breeds (i.e., Hanwoo vs. Holstein). However, PCR is defective with various final copy quantifications from every sample. Thus, we applied to the droplet digital PCR (ddPCR) platform for accurate quantitative detection of the Hanwoo-specific SV. Although samples have low allele frequency variation within Hanwoo population, ddPCR could perform high sensitive detection with absolute quantification. We aimed to use ddPCR for more accurate quantification than PCR. We suggest that the ddPCR platform is applicable for the quantitative evaluation of molecular markers.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.115-120
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• 2015

Evaluating product quality level is necessary before the manufactured items are delivered to the customer. When the amount of the items to be manufactured is limited and the product is of high price and should be evaluated by destructive testing, the number of samples to be tested should be as small as possible. This paper presents a small-sample inspection method using hyper-geometric distribution and Bayesian approach for finite small-sized population. A method of determining the minimum sample size is presented for given population size, allowable number of defectives, warranteed defective level, and confidence level which is the degree of confidence on the product quality level recognized by both the producer and the customer.

• Journal of the Korea Society of Computer and Information
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• v.21 no.10
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• pp.115-123
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• 2016

In this paper, we propose a Model Driven Development using UML(Unified Modeling Language) in an efficient Combat System Software development methods. UML is managed by the OMG (Object Management Group) as a Unified Modeling Language. Recently, In developing the software for the system, development time is contrary to a short, while it must meet a number of requirements of our customers. If you develop a non-efficient software early, the structure of the software become more complex in proportion to the number of requirements. As a result, a serious problem in the system, such as an increase in defective products due to the lowering of the reliability and communication problems between the developer has occurred. To overcome those problems, the aim of this paper is to develop a reusable high efficient Combat System Software by applying Model-Centric Development (Not Code-Centric Development). If Combat System Software development method using the UML proposed in this paper is used, easy communication among developers can help reduce the serious errors in systems. Also, it has the advantage that the future needs of software maintenance/repair become easy by using high readability object Model.

• The Korean Journal of Applied Statistics
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• v.20 no.1
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• pp.23-38
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• 2007

Corporations adopt a segmentation depends on the existence of target variables, in general. In this paper, for the case of no target variables, a strategy through segmentation is proposed for corporations having a special status based on the management index. In case of segmentation using cluster analysis, however, if one classify according to many variables then he will be in face of difficulties in characterizing. Therefore, after extracting representative factors by factor analysis, a segmentation method through 2 step cluster analysis is employed on the basis of these representative factors. As a result, six segmentation groups are found and the resulting strategy is proposed which strengthens prominent factors and makes up defective factors for each group.

• Korean Journal of Clinical Laboratory Science
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• v.49 no.4
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• pp.495-497
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• 2017

Thalassemia major is a genetic disorder with a defective synthesis of either the alpha or the beta chain of hemoglobin A. Blood transfusion is crucial for the survival in these patients. Unfortunately, endocrine dysfunction is a very common complication in these patients and is principally due to excessive iron overload as a result of frequent blood transfusions. Although regular blood transfusion may increase life expectancy, disturbances in growth and pubertal development, abnormal gonadal functions, impaired thyroid, parathyroid and adrenal functions, diabetes, and disorderly bone growth are common side effects. We hereby present a case of a 23-year-old, unmarried woman with beta thalassemia major presenting with primary amenorrhea, poor development of secondary sexual character, and short stature. Thorough history, clinical examination, and laboratory investigation, including dynamic function test (insulin tolerance test) were conducted. These tests confirmed that she had multiple endocrinopathies, including hypogonadotropic hypogonadism, growth hormone deficiency, and subclinical adrenal insufficiency, which were caused by iron overload. She required hormone replacement therapy. Early recognition of possible deficiencies in hypothalamo-pituitary-end organ hormones caused by iron overload in thalassemia patients that undergo frequent blood transfusion procedures is essential. Appropriate treatments, including transfusion regimen and chelation therapy, as well as specific treatment of each complication are the crucial for the successful management and improvement of quality of life these patients.

• Clinical and Experimental Pediatrics
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• v.59 no.4
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• pp.196-201
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• 2016

Chronic granulomatous disease (CGD) is a rare inherited disorder caused by defective nicotinamide adenine dinucleotide phosphate oxidase enzyme and characterized by recurrent bacterial and fungal infections. Although liver abscess is a common manifestation of CGD, its management in CGD patients is not well-defined. In addition, the generalized guidelines for treating liver abscesses do not necessarily apply to CGD patients. Corticosteroids are commonly used to control granulomatous complications, such as inflammatory gastrointestinal and genitourinary lesions, in patients with CGD, Corticosteroids have also been used in combination with antimicrobials to treat refractory infections in patients with CGD. Because corticosteroids are capable of suppressing symptomatic inflammation, all potential infections must be adequately controlled prior to corticosteroid initiation. We report 3 typical CGD cases with liver abscesses refractory to conventional treatments that were successfully treated with the concomitant use of corticosteroid and antimicrobials. It remains unclear whether corticosteroid therapy is required for liver abscesses in CGD refractory to conventional treatments. However, based on our observations, use of corticosteroids in combination with optimal antimicrobials should be considered for refractory liver abscesses in CGD.

• Design & Manufacturing
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• v.15 no.3
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• pp.1-6
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• 2021

An artificial neural network model based on a deep learning algorithm is known to be more accurate than humans in image classification, but there is still a limit in the sense that there needs to be a lot of training data that can be called big data. Therefore, various techniques are being studied to build an artificial neural network model with high precision, even with small data. The transfer learning technique is assessed as an excellent alternative. As a result, the purpose of this study is to develop an artificial neural network system that can classify burr images of light guide plate products with 99% accuracy using transfer learning technique. Specifically, for the light guide plate product, 150 images of the normal product and the burr were taken at various angles, heights, positions, etc., respectively. Then, after the preprocessing of images such as thresholding and image augmentation, for a total of 3,300 images were generated. 2,970 images were separated for training, while the remaining 330 images were separated for model accuracy testing. For the transfer learning, a base model was developed using the NASNet-Large model that pre-trained 14 million ImageNet data. According to the final model accuracy test, the 99% accuracy in the image classification for training and test images was confirmed. Consequently, based on the results of this study, it is expected to help develop an integrated AI production management system by training not only the burr but also various defective images.

• New & Renewable Energy
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• v.17 no.2
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• pp.24-31
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• 2021

Renewable energy has become more popular with the increase in the use of solar power. Consequently, the disposal of defective and old solar panels is gradually increasing giving rise to a new problem. Furthermore, the efficiency and power output decreases with aging. Researchers worldwide are engaged in solving this problem by developing eco-module technologies that restore and reuse the solar panels according to the defect types rather than simple disposal. The eco-module technology not only solves the environmental problem, but also has economic advantages, such as extending the module life. Replacement of encapsulants contributes to a major portion of the module maintenance plan, as the degradation of encapsulants accounts for 60% of the problems found in modules over the past years. However, the current International Electrotechnical Commission (IEC) standard testing was designed for the commercialization of solar modules. As the problem caused by long-term use is not considered, this method is not suitable for the quality assurance evaluation of the eco-module. Therefore, to design a new accelerated test, this paper provides an overview of EVA degradation and comparison with the IEC and accelerated tests.