• Industry Promotion Research
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• v.1 no.2
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• pp.49-54
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• 2016

This study analyzed the effect of small manufacturing firms' systematic documentation on productivity. The study results showed that establishment of work system documentation significanlty affectd defect decrease(p<.05) and production efficiency(p<.01), but ducumentation experience didn't significantly affected productivity improvement. So, it is suggested that firms should establish documentated work system and conduct education & training rather than depending on experiential aspect to improve productivity. This study provided implications for checking importance of documentation factor on productivity improvement and verifying the effect of documentation in quality management aspect.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.19 no.1
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• pp.51-63
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• 2009

In the field of ergonomics, it is evident that participatory action research methodology could contribute to reduce risk factors of work related musculoskeletal disorders(WMSDs). The objective of this study was to evaluate the effectiveness of a participatory ergonomics in reducing the incidence rate and severity of WMSDs in the tire manufacturing company. In this study, an action committee comprising 13 members was organized in the tire manufacturing company. The action group participated at every research process, education and training, assessment and intervention of risk factors, and early detection and management of WMSDs during the 3 years(2004-2006). The prevention programs contributed to an overall reduction in incidence rate by approximately 37.2%, and lost workdays and workers' compensation costs by approximately 55.1%. But, the incidence rate increased 29.0%, and compensation costs increased 59.0% in the first-year setting programs, and both the incidence rate and compensation costs decreased after the second-year managing programs. And, the reduction rates(63.2%) of insurance cases is higher than that(9.7%) of non-insurance cases. The results showed that participatory ergonomics programs may be effective in reducing the incidence and severity rate of WMSDs.

• International Journal of Safety
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• v.5 no.1
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• pp.37-41
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• 2006

The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.73-79
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• 2018

The purpose of this study is to explore the supporting scenario to promote vocational training in North Korea in terms of cooperation level. To this end, we have embarked on a regional and industry based vocational training program by predicting the political and social situation of North Korea and staging three scenarios systematically. These scenarios were designed originally based on the Futures Group methodology. The first scenario is to establish a technical training center in one area, focusing on the electrical, electronics, and clothing sectors. The second scenario is to set up a pilot campus of vocational training college in one region by selecting the electric, electronic, and automobile industries as its main industries. The third scenario is to establish five vocational training college campuses in North Korea, focusing on electricity and electronics, IT manufacturing, telecommunications, heavy industry, and women-specialized industries. We suggested the followings: First, establishing goals and strategies for North Korean vocational training and establishing road maps. Second, the North Korean vocational training governance system needs to be established. Third, R & D infrastructure for vocational training needs to be established. Fourth, HRD and HRM system in North Korea vocational training field needs to be established. In addition, the role of public and private employment services centers to provide them should be strengthening.

• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.559-568
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• 2009

Objectives : In order to manage to reformative tendency of the educational whole with change request of dental hygienics education which is diversificated and professionalized the manufacturing practice of a temporary resin jacket which is educated with from much dental hygiene is become accomplished, so far also the recognition which relates with the manufacturing practice of a temporary resin jacket of dental hygiene students there is not researched. The present research carried out the practice evaluation with the target of students of a dental hygiene department, who finished a manufacturing practice of a temporary resin jacket, analyzed and investigated the material, reported its result, and enforced a research. Methods : This research selected students of 6 dental hygiene departments located in the Daegu Gyeongbuk region, who have manufacturing experience of a temporary resin jacket, by a convenient sampling method, and then a questionnaire was executed by a self-administration method, and a total of 290 copies were statistically treated. The content of the questionnaire are composed of 2 questions on an attitude survey before and after manufacturing practice of a temporary resin jacket, 3 questions on an educator for practice of a temporary resin jacket, 7 questions on recognition of technical skills for manufacturing a temporary resin jacket, 9 questions on the practice content evaluation of manufacturing of a temporary resin jacket and recognition on manufacturing practice of a the temporary resin jacket. Results : 1. The average of recognition on technical skills for manufacturing a temporary resin jacket of a dental hygienist was 3.82 points, the average of evaluation on practice content of manufacturing a temporary resin jacket being 3.75 points, and the average of recognition on the practice of manufacturing a temporary resin jacket was 3.71 points. 2. Currently, as the educator for the practice of manufacturing a temporary resin jacket, dental hygienists were 188 persons(64.8%) and dental technicians was 102 persons(35.2%), and as educators they want in the future, dental hygienists were 97 persons(33.3%) and dental technicians was 193 persons(66.7%). Persons hoping reeducation for manufacturing a temporary resin jacket were 219 persons(85.9%). 3. There was a significant difference in consciousness of students before and after practice of manufacturing a temporary resin jacket(p<.001). 4. There was a significant difference in practice evaluation and practice recognition according to the educational subject(p<.001). 5. There was a significant reverse correlation in the educational subject, practice evaluation and practice recognition(p<0.01). Conclusions : The practice for manufacturing a temporary resin jacket in education of dental hygiene is necessary to improve job performance ability in more various and specialized dental treatment and to solve desire for improvement of professional technical skill ability of students, and accordingly. About study process of the future students observation investigation or student objective interview investigation etc. seeks a problem in the become research lead, the succeeding research which gropes the plan which is the possibility of solving the problem which discovered is thought will be necessary.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.49-56
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• 2017

Recently, due to Industry 4.0, there is a great interest in smart factory for productivity improvement and customer satisfaction in manufacturing industry, and construction is also actively pursued by government support. In particular, data integration and fieldbus communication technology to build an efficient production system are essential. Fieldbus is an open control system that is not tied to a specific vendor system and has various advantages such as compatibility with other products, accuracy of data transmission, and remote diagnosis. However, there are no educational equipment for training field buses, training courses and examples for practical training, and there are many limitations in improving the practical skills needed for building smart factories in the industrial field. Therefore, this study develops PLC based fieldbus education equipment and training course based on previous research results that selected PLC and communication technology suitable for domestic industry field for practical fieldbus training and develops the training program of Ethernet IP, Profibus DP, Modbus, CC-Link, and DeviceNet. In addition, it is confirmed that the control and remote diagnosis of distributed field devices are possible by data collection and monitoring.

• Journal of Preventive Medicine and Public Health
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• v.55 no.3
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• pp.289-296
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• 2022

Objectives: Integrating retail and manufacturing enables limitless potential for food businesses, but also creates challenges for navigating within complex food safety regulations. From public health inspectors' (PHIs) perspective, this study aimed (1) to describe the characteristics of crossover businesses in Louisiana, and (2) to evaluate regulation awareness and food safety education needs for business owners and PHIs who inspect crossover businesses. Methods: A self-administered questionnaire was administered to Louisiana Department of Health PHIs using Qualtrics^®. A descriptive analysis was performed, focusing on the frequency of each item. Results: In total, 1774 retailers were conducting or planned to conduct specialized processes, while 552 food manufacturers were performing or planned to perform retail functions. Reduced oxygen packaging, the use of additives such as vinegar as a method of preservation, and smoking food as a method of preservation were observed by 62%, 36%, and 35% of the PHIs, respectively. The PHIs perceived crossover businesses as "not aware" or "somewhat aware" of the food safety regulations. The current food safety training level for these businesses was reported to range from "no training" to "some training but not sufficient." When asked for a self-assessment, the majority of PHIs reported themselves as being "familiar" with the variance requirement for specialized processing. Their confidence in inspecting crossover businesses, however, leaned towards "not confident" or "somewhat confident." Conclusions: To better guard public health, food safety training is needed for crossover food business owners, as well as PHIs, on regulations and conducting or inspecting specialized processes.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.7
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• pp.7-15
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• 2020

Recently, the fourth industrial revolution has been presented as a new paradigm and additive manufacturing (AM) has become one of the most important topics. For this reason, process monitoring for each cross-sectional layer of additive metal manufacturing is important. Particularly, deep learning can train a machine to analyze, optimize, and repair defects. In this paper, image classification is proposed by learning images of defects in the metal cross sections using the convolution neural network (CNN) image labeling algorithm. Defects were classified into three categories: crack, porosity, and hole. To overcome a lack-of-data problem, the amount of learning data was augmented using a data augmentation algorithm. This augmentation algorithm can transform an image to 180 images, increasing the learning accuracy. The number of training and validation images was 25,920 (80 %) and 6,480 (20 %), respectively. An optimized case with a combination of fully connected layers, an optimizer, and a loss function, showed that the model accuracy was 99.7 % and had a success rate of 97.8 % for 180 test images. In conclusion, image labeling was successfully performed and it is expected to be applied to automated AM process inspection and repair systems in the future.

• Design & Manufacturing
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• v.15 no.1
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• pp.48-56
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• 2021

The quality of products produced by injection molding process is greatly influenced by the process variables set on the injection molding machine during manufacturing. It is very difficult to predict the quality of injection molded product considering the stochastic nature of manufacturing process, because the process variables complexly affect the quality of the injection molded product. In the present study we predicted the quality of injection molded product using Artificial Neural Network (ANN) method specifically from Multiple Input Single Output (MISO) and Multiple Input Multiple Output (MIMO) perspectives. In order to train the ANN model a systematic plan was prepared based on a combination of orthogonal sampling and random sampling methods to represent various and robust patterns with small number of experiments. According to the plan the injection molding experiments were conducted to generate data that was separated into training, validation and test data groups to optimize the parameters of the ANN model and evaluate predicting performance of 4 structures (MISO1-2, MIMO1-2). Based on the predicting performance test, it was confirmed that as the number of output variables were decreased, the predicting performance was improved. The results indicated that it is effective to use single output model when we need to predict the quality of injection molded product with high accuracy.

• Journal of the Korea Fashion and Costume Design Association
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• v.4 no.1
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• pp.111-130
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• 2002

This study performed a structural questionnaire survey and non-structural interview of the ladies apparel manufacturers in Daegu on the qualification for the employees, skills required for job performance, job training, automatic manufacturing systems, and the use of computer. The results are as follows. 1. Almost all of the apparel manufacturing systems were Pair System, except one Line System in one company. In terms of outsourcing, most of the manufacturers answered “yes,” and in 1998 the outsourcing process was sewing, but in the year 2002, outsourcing has been increased :12 manufacturers(57.1%) outsourcing most of the processes except patterning, 3(14.3%) outsourcing the finish of sewing. 2. The workforce of 1998 and that of 2002 shows a significant difference(P＜. 01) between office work and management. The number of office workers has decreased from 15 down to 5.3 people. On the other hand, that of the management has slightly increased from 5.3 to 9.2 people. The number of the manual workers has decreased from 32.2 to 28.7 people. And the number of tailoring and patterning workers has slightly decreased, but the number has increased in sewing from 3.7 to 7.0 people. 3. The wage of an employee shows a significant difference between a sewing assistant(P＜. 01) and a production manager(P＜. 05), and the wage of a sewing assistant, in particular, has slightly raised from ￦905,000 to ￦1,054,000. 4. The qualifications required of employees are “cooperative human relations”(30.8％), “diligence,” and “ability for job analysis”(26.9％), and “positive thinking” (15.4％) in 1998, and “ability for job analysis”(38.5％), “cooperative human relations”(34.6％), and “positive thinking” (15.4％) in 2002. The areas for job openings are significantly different(P＜. 01) depending on the year. Job openings in the design section has increased from 1(3.8％) to 16 manufacturers (61.5％), and decreased in tailoring section from 22(84.6％) to 2 manufacturers(7.7％). Job openings in the sewing section have increased form 2(7.7％) to 6 manufacturers (23.1％). In terms of sex of the employees, there is a significant difference(P＜. 001). 19 companies(73.1％) wanted “male” in 1998, but 8 companies(30.8％) answered that they want “female” and 17 companies(65.4％) answered that “it does not matter.” About the educational background, there was a significant difference between the years. The number of the companies that want junior college graduates with an associate degree has increased(15 companies(57.7％). There was a significant difference(P＜. 05) in major of the employee. The number of the companies that want fashion majors has increased from 5(19.2％) to 20(76.9％). 5. In terms of job skills required, there was no significant difference. In 1998, “production skills” (46.2％) and “ability for job analysis” (26.9％) were required, and in 2002, “ability for job analysis” (42.3％) and “emotional skills” (26.9％). 6. In regard to training for job skills, “fashion professional training” has slightly decreased from 65.4％ in 1998 to 46.2％ in 2002, however, “training for job analysis” has slightly increased from 30.8％ in 1998 to 46.2％ in 2002, which indicates the fact that “fashion professional training” and “ability for job analysis” have been emphasized. 7. The number of the manufacturers purchased apparel CAD has increased from 1(3.8％) to 3(11.5％), and the number of the manufacturers that have no plan for purchase has increased from 16(61.5％) in 1998 to 15(57.7％), still taking up a big proportion. 8. About the use of computers in manufacturing, there is a significant difference(P＜. 05). The number of the manufacturers using computer has increased from 5(19.2％) to 15(57.7％) and that of the manufacturers which do not use computers has decreased from 17(57.7％) to 8(30.8％). 9. In the interviews with the owners of the manufacturers, they pointed that schools should give more weight on practical training courses, the invitation of experts in the specific field, complex production systems, training courses for sewing, field trip courses, and furthering specialty education, personality and vocational education.