• Title/Summary/Keyword: Manufacturing Training

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Development of e-learning site for training human resource of a mold e-manufacturing (금형 e 매뉴팩처링 인력양성을 위한 e 러닝 사이트 개발)

  • Kim, Woo-Jae;Kim, Sung-Keol;Seo, Myeng-Min;Choi, Min-Soo;Kim, Hyun-Kyung
    • 한국IT서비스학회:학술대회논문집
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    • 2007.11a
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    • pp.9-13
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    • 2007
  • 국내 금형 및 사출 제조업체들을 대상으로 경쟁력을 강화하기 위한 e-매뉴팩처링 인력양성이 필요한 실정이다. 본 연구에서는 금형 e-매뉴팩처링에 대한 교육을 위하여 e-러닝 사리트를 개발하고 이에 대한 교육 콘텐츠를 개발하였다. 금형 e-매뉴팩처링을 위한 e-러닝 싸이트는 교육 콘텐츠를 체계적으로 관리하고 수강할 수 있도록 LMS(Learning Management System)으로 개발하였다. 교육 콘텐츠로는 금형 e-매뉴팩처링 기본과점, UG-Mold Wirard 과정, UG-MX 중급과정, 금형 기술과정, 금형 협업허브시스템 사용자 교육과점 등을 개발하였다.

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on the Integration Strategy of TOC and Six Sigma (TOC와 6시그마의 통합 전략)

  • Bae Young Ju
    • Journal of the Korea Safety Management & Science
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    • v.7 no.3
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    • pp.121-135
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    • 2005
  • The TOC and Six Sigma are the most attention-getting concepts for managing manufacturing companies. Using the ideas and methods of the TOC, companies can achieve a large reduction of work-in-process and finished good inventories, significant improvement in scheduling performance, and substantial earnings increase. The six sigma approach derives the overall process of selecting the right project based on their potential to improve performance metrics and selecting and training the right people to get the business results. These two concepts have different backgrounds and different viewpoints for production systems. so, if the two concepts integrate each other, the synergy effects to innovate production systems can be expected. The purpose of this paper suggest that integration strategy between Six Sigma and TOC for profit maximization.

The Manufacturing of Integration Training VR Simulation Platform for Disaster Response (재난대응을 위한 통합훈련 VR 시뮬레이션 플랫폼 제작)

  • Xie, Qiao;Jang, Young Jick;Yun, Tae Soo
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.45-46
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    • 2018
  • 본 논문에서는 VR 시뮬레이션 플랫폼의 프레임 웍에 기반하여 게임 엔진을 활용한 통합훈련 VR 시뮬레이션 플랫폼을 제작하고 그 사례를 소개한다. 본 VR 시뮬레이션 플랫폼을 활용하면 전문 직종 종사자들이 아닌 일반인들이 실생활에서 겪을 수 있는 재난 상황에 대해 행동요령을 훈련할 수 있다. 이 VR 시뮬레이션 플랫폼은 재난 상황에 대해 반복적이고 안전하게 행동요령을 익힐 수 있으며, 본 제작 과정은 VR 시뮬레이션 플랫폼 개발의 제작단계에서 유용하게 참고 될 자료라 사료된다.

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ERP-Enterprise Resource Planning: System Selection Process and Implementation Assessment

  • Han, Sung-Wook
    • Industrial Engineering and Management Systems
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    • v.2 no.1
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    • pp.45-54
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    • 2003
  • Enterprise Resource Planning(ERP) systems offer pervasive business functionality the applications encompass virtually all aspects of the business. Understanding and managing this pervasiveness will result in a successful and productive business application platform. Because of this pervasiveness, implementations have ranged from great successes to complete failures. This article has two distinctive parts. The first proposes and discusses a systematic process based on consulting experiences of LG CNS (leading information system company in Korea) for ERP selection. Also, the second provides the key factors that are critical to the successful implementation of ERP. The second part reports the results of a study carried out to assess a number of different ERP implementations in different organizations. A case study method of investigation was used, and the experiences of five Korean manufacturing companies were documented. The critical factors in the adoption of ERP are identified as: learning from the experiences of others, appointment of a process innovator, establishment of committees and project teams, training and technical support for the users, and appropriate changes to the organizational structure and managerial responsibilities.

The Effect and Influencing Mechanism of TPM Factors to Performance

  • Park, Chae-Heung
    • Journal of Korean Society for Quality Management
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    • v.30 no.4
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    • pp.154-163
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    • 2002
  • This study tries to analyze how TPM works in domestic manufacturing industry by estimating two-stage model. First stage tests the effects of five TPM-factor variables (TFV : (1) Small group activity & Autonomous maintenance, (2) Education & Training, (3) Planned maintenance, (4) improving effectiveness of each piece of facility (5) Safety & Environment) to two TPM-performance variables. Second stage tests how two TPVs affect the industry's productivity level. By combining these two stages, this study uses a model to explain how TPM, represented by TFVs, works to improve productivity via TPVs. Multivariate and univariate regression and correlation analyses were peformed. It is shown that five TFVs works in two different ways to improve the industry's productivity level. In the second stage, overall equipment effectiveness has relatively more significant effects to the productivity level.

In-Process Monitoring of Chatter Vibration using Multiple Neural Network(II) (복합 신경회로망을 이용한 채터진동의 인프로세스 감시(II))

  • Kim, Jeong-Suk;Kang, Myeong-Chang;Park, Cheol
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.12
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    • pp.100-108
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    • 1995
  • The In-process minitoring of the chatter vibration is necessarily required to an automatic manufacturing system. In this study, we constructed a multi-sensing system using tool dynamoneter, accelerometer and AE(Acoustic Emission) sensor for a more credible detection of chatter vibration. And a new approach using a multiple neural network to extract the features of multi-sensor for the recognition chatter vibration is proposed. With the Back-propagation training process, the neural network memorize and classify the features of multi-sensor signals. As a result, it is shown by multiple neural network that the chatter vibration can be monitored accurately, and it can be widely used in practical unmanned system.

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Image Enhancement Algorithm and its Application in Image Defogging

  • Jun Cao
    • Journal of Information Processing Systems
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    • v.19 no.4
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    • pp.465-473
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    • 2023
  • An image enhancement algorithm and image defogging method are studied in this paper. The formation of fog and the characteristics of fog image are analyzed, and the fog image is preprocessed by histogram equalization method; then the additive white noise is removed by foggy image attenuation model, the atmospheric scattering physical model is constructed, the image detail characteristics are enhanced by image enhancement method, and the visual effect of defogging image is enhanced by guided filtering method. The proposed method has a good defogging effect on the image. When the number of training iterations is 3,000, the peak signal-to-noise ratio of the proposed method is 43.29 dB and the image structure similarity is 0.9616, indicating excellent image defogging effect.

OFF-SITE MANUFACTURE OF APARTMENT BUILDINGS

  • Neville Boyd
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.304-310
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    • 2011
  • The populations of major cities in Australia are increasing rapidly and facing an acute housing shortage. Traditional apartment procurement techniques involve lengthy lead-times and factory-based, or offsite manufactured (OSM) multi-storey apartment buildings may offer the opportunity to help fulfill the need by significantly reducing build times. Other advantages of OSM may include superior quality, low weight ratios, economies of scale achieved through repetition of prefabricated units, use on infill sites, sustainable design standards and better occupational health and safety. There are also positive labour and training implications, which may help to alleviate an industry-wide shortage of skills through use of semi-skilled labour. Previous uncertainties about the adoption of offsite due to the high capital costs and perception issues were generally based on pre-cast concrete structures, which are quite a different building type in terms of flexibility, construction, delivery and finishes. Identification of drivers and constraints assists in the determination of current industry status, allows for a benchmark to be established and future opportunities and directions for OSM to be determined.

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Analysis of Odor Data Based on Mixed Neural Network of CNNs and LSTM Hybrid Model

  • Sang-Bum Kim;Sang-Hyun Lee
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.464-469
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    • 2023
  • As modern society develops, the number of diseases caused by bad smells is increasing. As it can harm people's health, it is important to predict in advance the extent to which bad smells may occur, inform the public about this, and take preventive measures. In this paper, we propose a hybrid neural network structure of CNN and LSTM that can be used to detect or predict the occurrence of odors, which are most required in manufacturing or real life, using odor complex sensors. In addition, the proposed learning model uses a complex odor sensor to receive four types of data, including hydrogen sulfide, ammonia, benzene, and toluene, in real time, and applies this data to the inference model to detect and predict the odor state. The proposed model evaluated the prediction accuracy of the training model through performance indicators based on accuracy, and the evaluation results showed an average performance of more than 94%.

A Study on the Value-Relevance of Intangible Expenditure: compare high-technology firms to low-technology firms (첨단산업과 비첨단산업의 무형자산성 지출의 가치관련성에 대한 비교연구)

  • Lee, Chae Ri
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.1
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    • pp.153-164
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    • 2014
  • This study is to investigate the effects of intangible assets such as research & development, education & training and advertisement on firm values of high-technology firms and low-technology firms listed in the KOSDAQ market, and to analyze the value-relativeness between the audit quality of companies and the expenditure of intangible assets. The substitute measurement of firm values is Tobin's Q model. The sample period for positive analysis is from 2003 to 2008, and the samples, excepting for financial business, are manufacturing companies of closing accounts corporate on December, based on companies of KOSDAQ that are listed in security. Finally, data from about 305 companies are used in this analysis. Followings are the results of the analysis. First, research & development, education & training of high-technology firms have an effect on firm values, and education & training of low-technology have an effect on firm values. Second, we find that audit quality(BIG4) increases the value relevance of R&D expenditures of high-technology firms and audit quality(BIG4) increases the value relevance of education & training expenditures of low-technology firms. This paper is meaningful in that it verified the value-relativeness of cost of intangible assets compared with high-technology firms to low-technology firms.

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