• 한국콘텐츠학회논문지
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• 제21권12호
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• pp.363-374
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• 2021

본 연구는 Asian development bank/ ERCD가 2021년 발표한 2019년 산업연관표를 활용하여 광산업이 몽골 국민 경제에 얼마만큼 기여하는지를 분석하여 몽골 경제의 특성을 파악하고 향후 몽골 광산업의 발전을 위한 정책 수립과 몽골 경제 활성화 방안에 참고자료로 활용될 수 있게 하는 데에 목적이 있다. 본 연구를 위해 몽골 경제를 35개 산업으로 분류하여 국가 경제 기여도를 분석하였다. 분석 결과 몽골 광산업의 총생산 유발액은 38,418백만 달러, 생산유발계수는 열 합계는 1.473, 감응도계수는 1.696, 부가가치유발계수는 0.707, 생산유발계수는 1.473 로 나타났다. 몽골 광산업은 다른 산업보다 생산유발효과가 높고, 다른 산업을 이끌어가는 전략산업으로써 발전 잠재력이 큼을 알 수 있다.

• 자원리싸이클링
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• 제25권5호
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• pp.3-13
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• 2016

도시광산산업 통계는 도시광산산업을 체계적으로 육성하기 위해서 가장 기본적으로 필요한 자료이며 산업현황을 이해하는데 중요한 수단이다. 본 연구에서는 국가통계를 활용하는 Top-down 방식과 개별 기업현황 조사를 하는 Bottom-up 방식을 병행한 통계조사 방법을 통하여 도시광산 재자원화 규모 및 업체 현황을 조사하였다. 그 결과 도시광산 재자원화 규모는 19.6조 원으로 국내 금속수요의 약 22%를 도시광산에서 공급하고 있었다. 또한 도시광산 업체는 917개로 수도권과 경상권에 대다수 분포하고 있었으며, 약 58%의 업체가 10인 이하의 소기업으로 조사되었다. 2009년 도시광산 업체 현황 조사결과와 비교하였을 때, 도시광산 업체수는 전반적으로 증가하였고, 특히 희소금속 관련 기업 수의 증가 폭이 컸다. 본 연구는 기존의 간접적인 도시광산 통계 결과와 달리 실제 도시광산 업체에서 생산되는 금속자원 규모 및 관련 업체에 대한 통계자료를 산정하여 제시했다는 점에서 연구의 차별성 및 의의를 지닌다.

• Safety and Health at Work
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• 제14권2호
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• pp.193-200
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• 2023

Background: International evidence shows that mining workers are at greater risk of suicide than other workers; however, it is not known whether this applies to the Australian mining sector. Methods: Using data from the National Coronial Information System, rates of suicide among male mining workers were compared to those of three comparators: construction workers, mining and construction workers combined, and all other workers. Age-standardized suicide rates were calculated for 2001-2019 and across three intervals '2001-2006', '2007-2011', and '2012-2019'. Incidence rate ratios for suicide were calculated to compare incidence rates for mining workers, to those of the three comparative groups. Results: The suicide rate for male mining workers in Australia was estimated to be between 11 and 25 per 100,000 (likely closer to 25 per 100,000) over the period of 2001-2019. There was also evidence that the suicide rate among mining workers is increasing, and the suicide rate among mining workers for the period 2012-2019 was significantly higher than the other worker group. Conclusions: Based on available data, we tentatively deduce that suicide mortality among male mining workers is of concern. More information is needed on both industry and occupation of suicide decedents in order to better assess whether, and the extent to which, mining workers (and other industries and occupations) are at increased risk of suicide.

• 산업공학
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• 제18권2호
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• pp.148-157
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• 2005

The manufacturing industry with Make-to-Order production system is difficult to decide the standard information for the product and the demand is variable to estimate. In this paper, we concerned with the process planning method using data mining in the manufacturing industry with Make-to-Order environment. The subject of our study is the industry transformer plant which is received an diverse order of customer and then produced the product. Currently, process planning method is classified the standard information by hand based on the acquired knowledge through the experience. The standard information stored the various information, such as work sequence, time and so on. This process planning method needs an experts which possesses the field experience for several years. For the product specification which is varied in each order, current process planning method is not efficient due to need many times To solve this problem, we extract the information using data mining process for each processing time, and then construct the knowledge base. We propose a method which is the process planning of the industry transformer product in Make-to-Order environment using the knowledge base.

• Ocean Systems Engineering
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• 제9권3호
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• pp.329-347
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• 2019

The shipbuilding industry is characterized by order production, and various processes are performed simultaneously in the construction of ships. Therefore, effective management of the production process and productivity improvement form important key factors in the industry. For decades, researchers and process managers have attempted to improve processes by using business process analysis (BPA). However, conventional BPA is time-consuming, expensive, and mainly based on subjective results generated by employees, which may not always correspond to the actual conditions. This paper proposes a method to improve the production process of offshore plant modules by analysing the process mining data obtained from the shipbuilding industry. Process mining uses information accumulated from the system-provided event logs to generate a process model and determine the values hidden within the process. The discovered process is visualized as a process model. Subsequently, alternatives are proposed by brainstorming problems (such as bottlenecks or idle time) in the process. The results of this study can aid in productivity improvement (idle time or bottleneck reduction in the production process) in conjunction with a six-sigma technique or ERP system. In future, it is necessary to study the standardization of the module production processes and development of the process monitoring system.

• 원자력산업
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• 제28권10호
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• pp.55-63
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• 2008

• 터널과지하공간
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• 제29권1호
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• pp.1-11
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• 2019

본 연구에서는 국내 의료, 제조, 금융, 자동차, 도시 분야와 해외 광업 분야에서 머신러닝 기술이 활용된 사례를 조사하였다. 문헌 조사를 통해 머신러닝 기술이 의학영상 정보시스템 개발, 실시간 모니터링 및 이상 진단 시스템 개발, 정보시스템의 보안 수준 개선, 자율주행차 개발, 도시 통합관리 시스템 개발 등에 광범위하게 활용되어왔음을 알 수 있었다. 현재까지 국내 광업 분야에서는 머신러닝 기술의 활용사례를 찾을 수 없었으나, 해외에서는 광상 탐사나 광산 개발의 생산성 및 안전성을 개선을 위해 머신러닝 기술을 도입한 프로젝트들을 찾을 수 있었다. 향후 머신러닝 기술의 광업 분야 도입은 점차 확산될 것으로 예상된다.

• 품질경영학회지
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• 제34권1호
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• pp.13-19
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• 2006

Data mining is a useful tool for analyzing data from different perspectives and for summarizing them into useful information. Recently, the data mining methods are applied to solving quality problems of the manufacturing processes. This paper discusses the problems of construction of a quality mining system, which is based on the various data mining methods. The quality mining system includes recipe optimization, significant difference test, finding critical processes, forecasting the yield. The contents and system of this paper are focused on the TFT-LCD manufacturing process. We also provide some illustrative field examples of the quality mining system.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.197-200
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• 2003

A performance measure is the critical work of business processes. Especially it is necessary to explore and forecast the profits per hour through this activity. However there have been rarely studied on specific fields, like the steel industry. Therfore this study analyzes and evaluates the time based performance of the steel industry using data mining.

• 디지털산업정보학회논문지
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• 제20권2호
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• pp.37-47
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• 2024

The food tech market, which uses artificial intelligence robots for the restaurant industry, is gradually expanding. Among them, the robot barista, a representative food tech case for the restaurant industry, is characterized by increasing the efficiency of operators and providing things for visitors to see and enjoy through a 24-hour unmanned operation. This research was conducted through text mining analysis to examine trends related to robot baristas in the restaurant industry. The research results are as follows. First, keywords such as coffee, cafe, certification, ordering, taste, interest, people, robot cafe, coffee barista expert, free, course, unmanned, and wine sommelier were highly frequent. Second, time, variety, possibility, people, process, operation, service, and thought showed high closeness centrality. Third, as a result of CONCOR analysis, a total of 5 keyword clusters with high relevance to the restaurant industry were formed. In order to activate robot barista in the future, it is necessary to pay more attention to functional development that can strengthen its functions and features, as well as online promotion through various events and SNS in the robot barista cafe.