PURPOSES : This study aimed to perform real-time on-site construction volume management by using Internet of things (IoT) technology consisting of 3D scanning, image acquisition, wireless communication systems, and mobile apps for new and maintenance construction of concrete bridge deck overlays. METHODS : LiDAR was used to scan the overlay before and after construction to check the overlay volume. An enhanced inductively coupled plasma (ICP) method was applied to merge the LiDAR data scanned from multiple locations to reduce noise, and an anisotropic filter was applied for efficient three-dimensional shape modeling of the merged LiDAR data. The construction volume counter of the mobile mixer was directly photographed using an IP camera, and the data were transmitted to a central server via the LTE network. The video images were transmitted to the central server and optical character recognition (OCR) was used to recognize the counter number and store it. The system was built such that the stored information could be checked in real time in the field or at the office. RESULTS : As a result of using LiDAR to check the amount of overlay construction, the error from the planned amount was 0.6%. By photographing the counter of the mobile mixer using an IP camera and identifying the number on the counter using OCR to check the quantity, the results showed that there was a 2% difference from the planned quantity. CONCLUSIONS : Although the method for checking the amount of construction on site using LiDAR remains limited, it has the advantage of storing and managing the geometric information of the site more accurately. Through the IoT-based on-site production management system, we were able to identify the amount of concrete used in real time with relative accuracy.

This study improved the work efficiency by supplementing the shortcomings of the manual process by developing a double tube feeding device, and the following results were obtained by conducting the production capacity, production length, and defect rate tests. Developed a double tube production system to enable the simultaneous production of two tubes, increasing the production volume by about 1.5 times. The product length has been improved from semi-automatic to automated, and the production capacity has been improved from 16 to 25 pieces per hour (based on 15m). Developed a double-tube input straight line automatic adjustment feeder, which resulted in reducing the defect rate to less than 1%.

Recently, in the case of the root industry, although it is a basic industry that forms the basis of manufacturing competitiveness, there continues to be a shortage of manpower due to reasons such as dangerous working environments, industrial economic difficulties, and low wage systems. In addition, the demand for automation of production lines using robots is increasing due to a shrinking labor market due to a decrease in the working population due to aging, higher wages, shorter working hours, and limitations of foreign workers. In this study, a system was developed to automate the injection molding process for producing ball valves for automobiles by applying robot system. The applied process flow consists of alignment and insertion of insert parts, and removal, transfer, and loading of the product after injection molding, which is currently performed manually. Through the application of the developed robot automation system, the cycle time was improved by more than 30% and the defect rate was reduced by more than 70%.

This study was conducted to investigate the growth characteristics of cucumber (Cucumis sativus L. ‘Joeunbaekdadagi’) and tomato (Solanum lycopersicum L. ‘Dotaerang Dia’) seedlings by light intensities and CO2 concentrations in a closed-type plant production system (CPPS). Cucumber and tomato seeds were sown in 50-cell trays and germinated in CPPS at air temperature 25 ± 1°C and relative humidity 50 ± 10% for 4 days. After germination, the CO2 concentrations and light intensity treatment were treated at 500 (ambient), 1,000, and 1,500 μmol·mol-1 and 100, 200, and 300 μmol·m-2·s-1 photosynthetic photon flux density (PPFD), respectively. The leaf area of cucumber showed the highest value in CO2 1,500 μmol·mol-1. However, the leaf area of the tomato had no significant difference in CO2 concentrations and light intensities treatments. In cucumber and tomato both seedlings, the growth and quality such as compactness and leaf area rate were increased with the increase of light intensity, and there were highest in 300 μmol·m-2·s-1. The root surface and number of root tips of cucumber and tomato seedlings were significantly increased with the increase in light intensity. In conclusion, the regulation of the CO2 concentrations and light intensity can control the growth and quality of cucumber and tomato seedlings in CPPS, especially, increasing the light intensity can improve more significantly the growth and quality of seedlings.

본 연구는 DFT 재배 시스템을 이용한 밀폐형 식물생산시스 템에 MB처리 유무에 따른 상추(Lactuca sativa L.)와 배초향 (Agastache rugosa Kuntze)의 생육과 양액 특성을 조사하기 위해 수행되었다. 상추와 배초향은 밀폐형 식물생산시스템에 서 23일간 재배되었다. MB는 매일 9시, 13시, 17시에 5분씩 16일간 처리하였다. 상추와 배초향의 엽장, 엽폭, 엽면적, 생 체중 및 건물중은 MB처리구에서 대조구에 비해 유의하게 낮 았다. 상추와 배초향의 총 뿌리길이, 뿌리 표면적, 근단 수도 MB처리구에서 유의적으로 낮게 나타났다. 평균 뿌리 직경의 경우, 상추는 처리 간에 차이가 없었으나, 배초향은 MB처리 구에서 유의적으로 굵어 종 간에 차이가 있음을 확인하였다. 본 연구 결과, DFT 방식으로 상추와 배초향을 재배할 때 MB 처리는 비생물적 스트레스를 유발하여 생육을 억제하는 것으 로 나타났다.

In the era of the 4th industrial revolution driven by the convergence of ICT(information and communication technology) and manufacturing, research on smart factories is being actively conducted. In particular, the manufacturing industry prefers smart factories that autonomously connect and analyze data. For the efficient implementation of smart factories, it is essential to have an integrated production system that vertically integrates separately operated production equipment and heterogeneous S/W systems such as ERP, MES. In addition, it is necessary to double-verify production data by using automatic data collection technology so that the production process can be traced transparently. In this study, we want to show a case of data-centered integration of a large aircraft parts processing factory that requires high precision, takes a long time, and has the characteristics of processing large raw materials. For this, the components of the data-oriented integrated production system were identified and the connection structure between them was explained. And we would like to share the experience gained through the design and implementation case. The integrated production system proposed in this study integrates internal components based on data, which is expected to serve as a basis for SMEs to develop into an advanced stage, and traces materials with RFID technology.

대한민국의 항공산업 대표 기업인 한국항공우주산업의 최근 9년간의 성장과정을 경영진단모델(Productivity Management System)와 연계하여 경영진단과 OJT(On Job Training)를 수행하였고 표준경영시스템(Disciplinary system)에서 변화대응시 스템(Agile system)으로 성장하는 과정의 사례연구를 통한 기업의 경영시스템 고도화 과정과 지속 가능한 성장의 경영시스템 기반 확보에 관한 사례를 통한 실증연구 방향을 제시하고자 한다.

본 연구에서는 ‘설향’ 딸기의 관부를 부분 난방하고 양액을 온수로 공급하면서 관행 재배 방식에 비해 온실 공간 온도를 낮게 관리하는 딸기 부분 난방 시험을 수행하였다. 정식 후 11월까지는 특별한 처리가 없어 대조구, 시험구 모두 온실 내 환 경이 유사하게 관리되었으며 관부 난방 및 온수 양액을 공급 하기 시작한 12월부터는 야간의 온실 온도, 관부 온도 및 베드 온도가 차이를 보였다. 12월의 온실 야간 평균 온습도는 대조구 7.1℃, 87.2%, 시험구 5.7℃, 88.7%로 시험구의 온도가 낮았으나 관부 난방을 수행함으로써 시험구 온실의 관부 및 베드의 온도를 9.3℃, 12.7℃로 유지하였고, 대조구 온실의 관부 및 베드 온도 7.9℃, 10.8℃보다 높게 관리할 수 있었다. 시험기간 내에서 시험구 온실의 딸기 관부 및 베드 온도는 대조구에 비해 모두 약 2.0℃ 가량 높게 유지되는 것으로 나타났다. 주간에는 온수 양액을 공급함으로써 지하수를 이용했을 때보 다 평균 8.7℃ 높은 온도 양액을 공급할 수 있었고 이로 인해 베드 온도도 약 5.0℃ 가량 높게 나타났다. 시험구에서는 시험 기간 동안 온실 난방, 관부 난방 및 온수 양액 공급에 총 9,475.7×10 3 kcal의 에너지를 소비하였고 대조구에서는 온실 공간 난방에 총 16,847×10 3 kcal의 에너지를 소비하여 시험구에서 대조구 대비 약 43.8%의 에너지 절감 효과를 확인할 수 있었다. 시험구에서 딸기 관부의 온도를 높게 관리함으로써 작물의 생육을 촉진시킬 수 있었고 그로 인해 정식 후 초세가 대조구에 비해 좋지 않았던 시험구의 딸기가 25주 후에는 대조구와 생육적인 면에서 큰 차이가 없는 것으로 나타났다. 딸기의 수확량은 초세가 좋았던 대조구에서 1화방의 수확량이 시험구에 비해 많았으나 2화방, 3화방에서는 관부의 온도를 높게 관리한 시험구의 수확량이 더 많았다. 3월 말까지의 주당 수확량은 시험구 412.7g/plant, 대조구 393.3g/plant로 유의미한 차이는 없었으나 시험구가 대조구에 비해 4.9% 많이 나온 것으로 보아 딸기의 온도 민감부인 관부의 온도를 높게 관리하는 것이 딸기 생육과 생산성에 영향을 미치는 것으로 판단된다.

Up to date cosmetic OEM/ODM (original equipment manufacturing/original development manufacturing) industry receives attention as a future growth engine due to steady growth. However, because of limited research and development capability, many companies have employed commercial management platforms specialized for large-sized companies; thus, overall system effectiveness and efficiency is low. Especially, MRP (material requirement planning) system introduced originally in 1970s is employed to calculate the requirement of the parts. However, dynamic nature of production lead time usually results in incorrect requirements. In addition, its algorithm does not consider the capability of the production resources. Also, because the commercial MRP system calculates all subcomponent for fixed period, the more goods have subcomponent, the slower calculation is. Therefore, conventional MRP system cannot respond complicated situation in time. In this study, we will suggest a new method that can respond to complicated situations resulting from short lead time and urgent production order in Korean cosmetic market. In particular, a distributed MRP system is proposed, that consists of multi-functional and operational modules, based on the characteristic of the BOM (bill of material). The distributed MRP system divides components (i.e. products and parts) into several fields and decrease the problem size; thus, we can respond to dynamically changed data any time. Through this solution, we can order components quickly, adjust schedules and planned quantity, and manage stocks reasonably. In addition, a prototype of the distributed MRP system is presented in this paper, in which ERP (enterprise resource planning) sever data is associated with an excel spreadsheet via MSsql. System user interface is implemented by a VBA (visual basic for applications) tool. According to a case study, response rate for delivery and planning achievement rate were enhanced about 20%, and inventory turnover was also decreased. Consequently, the proposed system improves overall profit.

이 연구는 번식방법과 재배시스템별 딸기 ‘설향’ 품종의 생산성을 조사하기 위하여 수행되었다. 삽목법과 유인법으로 번식된 이식묘를 토경과 수경재배 시스템에서 진주의 딸기 재배농가에서 2018년 9월12일부터 한 작기 동안 재배하였다. 과실 수확은 2018년 12월 20일에 시작하여 작기가 끝날 때까지 4-5일 간격으로 계속하였다. 전 수확기간 동안 생육, 과실 생산성 및 품질을 측정하였다. 번식방법이 크라운 직경, 엽장 및 엽폭에 유의미한 영향을 미쳤다. 재배시스템은 크라운 직경, 엽장, 엽폭, 엽록소 함량 및 엽수에 상당한 영향을 주었다. 전 수확기간 동안 포기 당 총 과실 수량과 과실 당 평균 과중은 토경재배 시스템에서 유의미하게 낮았다. 시장성이 없는 총 과일 비율은 수경재배 보다 토경재배 시스템에서 현저하게 더 높았다. 시장성이 없는 과일 토경에서는 주로 작은 과일인데 인데 반해 수경재배에서는 주로 기형 과일이었다. 전반적인 고품질 과실은 2월에 수확되었고, 수경재배 시스템에서 토경에 비해 과실의 품질이 더 높았다. 삽목번식이 유인번식 보다 더 좋았고, ‘설향’의 과실 생산성을 높이기 위해서는 수경재배가 토경재배 보다 더 우수하다는 결론을 얻었다.