A Smart factories are systems that enable quick response to customer demands, reduce defect rates, and maximize productivity. They have evolved from manual labor-intensive processes to automation and now to cyber-physical systems with the help of information and communication technology. However, many small and medium-sized enterprises (SMEs) are still unable to implement even the initial stages of smart factories due to various environmental and economic constraints. Additionally, there is a lack of awareness and understanding of the concept of smart factories. To address this issue, the Cooperationbased Smart Factory Construction Support Project was launched. This project is a differentiated support project that provides customized programs based on the size and level of the company. Research has been conducted to analyze the impact of this project on participating and non-participating companies. The study aims to determine the effectiveness of the support policy and suggest efficient measures for improvement. Furthermore, the research aims to provide direction for future support projects to enhance the manufacturing competitiveness of SMEs. Ultimately, the goal is to improve the overall manufacturing industry and drive innovation.

작물을 재배하는 데 필요한 여러 가지 환경 조건 중 광은 개 화와 밀접한 연관이 있다. 본 연구는 식용화, 매리골드 화아분 화에 영향을 주는 최적의 광주기를 구명하여 완전제어형 식물 공장에서 효율적으로 재배하기 위해 진행되었다. 실험에 사 용된 광주기는 4, 8, 12, 16시간, 총 4가지로 설정하였다. 매리 골드 ‘듀란고 레드’ 종자를 우레탄 스펀지에 파종한 직후부터 광주기를 처리하였다. 화아분화는 꽃봉오리가 약 2mm 이상 일 때 화아분화가 되었다고 정의하였고, 2－3일 간격으로 조 사하였다. 생육 조사는 지상부의 생체중, 건물중, 초장, 엽면 적을 조사하였다. 최적의 광주기는 식물체의 50%가 화아분 화 된 날을 기준으로 정의하였다. 4시간 처리구에서는 식물체 가 제대로 자라지 못하며 화아도 형성되지 않았다. 8시간 이상 의 처리구에서부터 식물체가 정상적으로 생장하고 화아분화 가 이루어졌지만, 8시간 처리구는 12시간 이상의 처리구에 비 해 화아분화가 더디게 일어났다. 반면에 12시간 처리구와 16 시간 처리구는 서로 유의하지 않은 결과를 보였다. 모든 생육 조사 항목에서 16시간 광주기 처리구가 가장 높은 값을 나타 냈으나 지상부의 건물중과 엽면적을 제외한 나머지 항목에서 12시간 처리구와 유의하지 않았다. 실험 결과에 따르면, 8시간 광주기에서도 화아분화가 일어났지만, 화아형성까지의 시 간이 12시간 이상의 광주기일 때보다 더 많이 소요되었으며, 식물체의 생육 또한 12시간 이상의 광주기를 조사받은 식물 체보다 낮게 나타났다. 본 실험에서 에너지 소비량을 고려한 최적의 매리골드 ‘듀란고 레드’의 광주기는 12시간으로 판단 된다.

This study analyzed and identified various causes of caustic alarms of 163 fire detectors that occurred from January 2019 to December 2021 at domestic semiconductor manufacturing plants equipped with about 30,000 fire detectors, and proposed a new non-fire prevention cause investigation plan by applying the NFPA 921 scientific methodology. The results of the study are as follows. First, in terms of necessary recognition and problem definition, an analog detector and an integrated monitoring system were proposed to quickly determine the location and installation space information of the fire detector. Second, in order to prevent speculative causes and errors in various analyses in terms of data analysis and hypothesis establishment, non-fire reports were classified into five by factor and defined, and the causes of occurrence by factor were classified and proposed. Finally, in terms of hypothesis verification and final hypothesis selection, a non-fire prevention improvement termination process and a final hypothesis verification sheet were proposed to prevent the cause from causing re-error.

Recently, a closed-type plant factory has been receiving attention as a advanced agricultural method. It has diverse advantages such as climate-independence, high productivity and stable year-round production. However, high energy cost caused by environmental control system is considered as a challenges of a closed-type plant factory. In order to reduce the energy cost, investigation about energy load which is directly connected to energy consumption needs to be conducted. In this study, energy load changes of a plant factory have been analytically analyzed according to the environmental changes. The target plant factory was a lettuce growing container farm. Firstly, the impact of photoperiod, set temperature and relative humidity change were examined. Under the climate condition of Daejeon in South Korea, increase of photoperiod and set temperature rose a yearly energy demand of a container farm. However, increase of set relative humidity decreased a yearly energy demand. Secondly, the climate environment effect was compared by investigating the energy demand under 9 different climate conditions. As a result, the difference between maximum and minimum value of the yearly energy demand showed 21.7%. Lastly, sensitivity analysis of each parameter (photoperiod, set temperature and relative humidity) has been suggested under 3 different climate conditions. The ratio of heating and cooling demand was varied depending on the climate, so the effect of each parameter became different.

Recently, small and medium-sized manufacturing companies have shown increased interest in and participation in smart factories in order to survive in market competition. However, many SMEs build smart factories without a systematic review or preparation, which leads to them not being able to use them properly. This study considers the main reason for the low utilization rate of smart factories to be a lack of sufficient reflection of user requirements. Therefore, a method and procedure for deriving the priority of smart factory requirement functions and operating performance indicators based on QFD is proposed as a solution to this issue.

This study was aimed to determine the effects of grow media on the mineral contents of the leaves and growth characteristics of strawberry grown under aquaponics system in a plant factory. For aquaculture, 12 fish (Cyprinus carpio) (total weight, 2.0 kg) were raised in an aquaponics tank (W 0.7 m × L 1.5 m × H 0.45 m, 472.5 L) filled with 367.5 L of water at a density of 5.44 kg·m-3 and total 34 of strawberry seedlings were transplanted in the pots filed with 200 g of orchid stone, hydroball or polyurethane sponge in the growing bed (W 0.7 m × L 1.5 m × H 0.22 m) laid out with holly acrylic sheet (140×60 mm, Ø80) on the top of the system. The pH and EC of the aquaponic solution was ranged from 7.6 to 4.9 and 0.24－0.91 dS·m-1, respectively. The concentration of NO3-N was about 28% lower than that of the hydroponic standard solution, and K, Fe and B were 10, 27 and 3.8 times lower, respectively; however, the mineral contents of strawberry leaves were in the appropriate ranges with lower contents in the leaves grown with sponge media. The organic content (OM), nitrogen (N), phosphorus (P), and potassium (K) of the sludge were 61.5, 5.72, 8.92, and 0.24%, respectively. The leaf area, leaf number, and dry and fresh weights of shoot at 81 DAT were significantly higher in the hydroball, and the average number of fruits per plant was significantly higher in both the orchid stone and hydroball. There was no significant difference in the fresh and dry weights of fruits. Integrated all the results suggest that the orchid stone and hydroball media are more effective to utilize nutrients in solid particles of aquaponic solution, compared to the polyurethane sponge.

본 연구는 같은 일적산광량(DLI) 조건에서 각각의 광강도 와 광주기 조합이 십자화과 식물 3종의 생육 및 글루코시놀레 이트(GSLs) 함량에 미치는 영향을 살펴보고자 수행되었다. 갓(Brassica juncea (L.) Czern.), 적겨자(Brassica juncea L.), 케일(Brassica oleracea L. var. acephala (DC.) Alef.) 종자를 암면 배지에 파종하여 3주간 육묘하였다. 육묘 후 DLI 를 10mol·m-2·d-1로 설정하여 10h-280, 14h-200, 18h-155, 22h-127μmol·m-2·s-1 처리 조합으로 3주간 처리하였다. 14h- 200μmol·m-2·s-1 처리한 결과, 적갓과 케일은 지상부 생체중/ 건물중, 엽수, 엽면적이 증가하였지만, 유의적 차이는 관찰되 지 않았다. 적갓의 GSLs 함량에서 14h-200μmol·m-2·s-1 처리 가 10h-280, 18h-155, 22h-127μmol·m-2·s-1 처리보다 각각 유의적으로 139.95, 135.87, 154.03% 증가하였으며, 케일의 경우 14h-200μmol·m-2·s-1 처리가 다른 처리구보다 각각 132.96, 122.06, 131.78% 유의하게 증가하였다. 적겨자는 18h-155μmol·m-2·s-1 처리에서 지상부 생체중/건물중, GSLs 함량이 증가하였으며, 14h-200μmol·m-2·s-1 처리에서 엽수가 10h-280, 18h-155, 22h-127μmol·m-2·s-1 처리보다 각각 15.62, 12.12, 32.14% 유의적으로 증가하였다. 유사한 십자 화과 작물이라도 종에 따라 DLI 반응이 다르기 때문에 최적의 DLI 조건 구명과 최소의 전력 소비량 및 최대 효율을 내기 위 한 광질 연구를 병행하여 더 세밀한 결과를 도출해야 할 것으 로 사료된다.

식물공장에서 적합한 광을 선정하기 위해서는 양적인 측면 과 기능적 측면 뿐만 아니라 운영비를 고려하기 위하여 전기 에너지이용효율과 광이용효율을 동시에 고려해야 하는데 본 연구에서는 들깨를 위한 LED광원의 광량, 적색광과 청색광 의 혼합 비율과 광주기 조건별 생육 특성과 전기에너지이용효 율과 광이용효율을 함께 비교하였다. 광량 처리구는 60, 130, 230, 320μmol·m-2·s-1 조건으로, 광질 처리구는 적색광과 청 색광의 혼합 비율 8:2, 6:4, 4:6, 2:8 조건으로, 일장 처리구는 낮 기준 9, 12, 15, 18시간으로 처리하였다. 광량 실험에서는 광량이 높을수록 생육량이 늘어나는데 비해 소비전력당 건물 중의 광이용효율은 유의차가 없었다. 소비전력당 엽생체중을 추가로 비교해보면 320μmol·m-2·s-1 처리구에서만 유의적으 로 낮은 효율을 보였고 이외의 처리구에서는 유의차가 없었기 때문에 생산량이 가장 많은 230μmol·m-2·s-1가 가장 효율적 이었다. 광질 실험에서는 적색광과 청색광의 혼합 비율은 RB 8:2에서 생육량과 광이용효율이 동시에 높게 측정되었고 색 차와 flavonoids 함량에서는 유의차가 발생하지 않아 Red: Blue 비율 8:2가 가장 적합한 조건이었다. 광주기 실험에서는 광주기가 길어질수록 높은 생육량을 나타냈는데 일장 12시간 이상에서는 생육량의 유의차가 없었으므로 광소비 효율을 고 려한 12시간이 적합한 조건이었다. 이상의 결과를 바탕으로 식물공장에서 들깨 생육을 위한 LED 광 환경 조건으로는 광 도, 광질과 일장은 각각 230μmol·m-2·s-1 이상, 8:2와 12시간 이상이었다.

The smart factory is an important system that can reduce defects, maximize productivity, and respond to customer needs, from the labor-intensive era of traditional small and medium-sized manufacturing companies through the automation era to CPS using ICT. However, small and medium-sized manufacturers often fall short of the basic stage due to economic and environmental constraints, and there are many companies that do not even recognize the concept of a smart factory. In this situation, to expand the smart factory of small and medium-sized enterprises, the project to support the establishment of a smart factory for the win-win between large and small enterprises. The win-win smart factory construction support project provides a customized differentiation program support project according to the size and level of the company for all domestic manufacturing SMEs regardless of whether or not they are dealing with Samsung. In this study, we analyze the construction status and introduction performance of companies participating in the win-win smart factory support project to find out whether they have been helpful in management and to find efficient ways to improve support policies, and to suggest the direction of continuous support projects to improve the manufacturing competitiveness of SMEs in the future.

This study examines the effects of participation purpose, corporate readiness, and acceptance of changes that may occur in the course of expert guidance on the performance of smart factory. For this study, 129 questionnaires obtained from SMEs participating in the Smart Meister support project were used, and SPSS 18.0 and the AMOS 18.0 program were used for statistical processing for empirical analysis of the hypotheses test. It was found that the company's business participation motivation and readiness status had a significant effect on the acceptance and cooperation of changes that occurred during the consulting process. In addition, the acceptance and cooperation of changes within the company had a significant effect on the satisfaction with the Meister support project and the financial performance. Companies participating in the Meister support project need to clarify their motives for participating in the project and make stable corporate readiness in advance. In addition, based on the CEO’s support, it is necessary to have a motivational program and to build an organizational culture that can actively accept innovation.

한국에서 산업유산은 주로 광산이나 공장 등 대규모의 광업, 제조시설 혹은 상수도나 교량, 철도 등 토목관련 시설, 즉 협의의 산업유산 개념을 중심으로 인식되어 왔다. 그러나 산업의 발전에 있어 노동의 중요성은 간과할 수 없는 것이며, 특 히 대규모 산업생산이 가능할 수 있었던 데에는 사택단지와 같은 대규모 노동자 주택 단지의 건설이 기반이 되었다. 최근 산업유산이 보존과 활용의 대상으로 주목을 받고 있는 데에도 불구하고, 많은 노동자주택들은 관심의 대상조차 되지 못한 채 사라져가고 있다. 따라서 본 연구에서는 1930년대 후반 일제의 군수공업도시로 형성된 부평의 대표적인 사택인 미쓰비시 중공업의 사택과 1960년대 경제개발기 공업도시로 발전한 울산의 현존하는 사택인 한국화학공업사택을 대상으로 살펴보면 서 산업유산의 개념을 노동자주택과 도시경관을 포함하는 산업도시경관으로 확장하는 것을 제안하고자 한다.

Ppuri or Root technology primarily includes technologies such as casting, mold, plastic working, welding, heat treatment and surface treatment. It is regarded as an essential element for improving the competitiveness of the quality of final products. This study investigates the current status of smart factory implementation for Ppuri companies and analyzes the influencing relationships among various company factors. The factors affecting smart factory implementation for Ppuri companies are sales, exports, number of technical employees, and holding corporate research institutes. In addition, this research shows that even if smart factory implementation is pursued for data collection, data utilization is not implemented properly. Thus, it is suggested that the implementation of smart factories requires not only the availability of facilities and systems but also proper data utilization.