해당 연구는 산업 폐수에서 염료를 효율적으로 제거하기 위한 고급 박막 나노복합체(TFN) 기반 나노여과막을 개 발하여 효과적인 폐수 처리 방법을 제시합니다. 최근 연구의 동향을 보면, 나노카본, 실리카 나노스피어, 금속-유기 프레임워 크(MOF) 및 MoS2와 같은 혁신적인 재료를 포함하는 TFN 막의 제조에 중점을 둡니다. 주요 목표는 염료 제거 효율을 향상 시키고 오염 방지 특성을 개선하며 염료/염 분리에 대한 높은 선택성을 유지하는 것입니다. 이 논문은 넓은 표면적, 기계적 견고성 및 특정 오염 물질 상호 작용 능력을 포함하여 이러한 나노 재료의 뚜렷한 이점을 활용하여 현재 나노여과 기술의 제 한을 극복하고 물 처리 문제에 대한 지속 가능한 솔루션을 제공하는 것을 목표로 합니다.

The objective of this study is to identify the priority of elements for effective implementation of MES in small and medium-sized manufacturing enterprises trying to develop into smart factories. For this purpose, the Delphi method and the Analytic Hierarchy Process(AHP) mothod are applied. As a result of the study, the cooperation of the members in the supply chain is the most important factor for small and medium-sized enterprises in order to survive in the global competitive environment. Therefore, the enterprises need to make various efforts to create synergies through the technical strength of suppliers and the cooperation in the process of introducing and operating MES.

우리나라 제조 소기업은 온실가스 고배출 업종이 많고, 산재사망사고 발생 비중이 높아 수출의존도가 높은 국내 제조 소기업에 대한 ESG 이슈 관리가 점차 중요해 질 것이다. 본 연구는 제조 소기업의 저탄소 활동이 현장 작업자의 안전의식과 산업재해에 미치는 영향을 파악하고, 저탄소 활동이 안전, 고용 등의 영역에서 발생하는 부정적 영향을 감소 시켜 기업의 경쟁력을 향상시킬 수 있는 방안을 모색해 보았다. 연구에서는 제조 소기업의 저탄소 활동(저탄소 전략 및 시스템 활동, 온실가스 및 환경오염 분야 활동, 자원 및 에너 지 분야 활동)이 산업안전 인식 향상에 긍정적(+)인 영향을 미치는 것을 확인하고, 저탄소 활동에 참여한 기업들의 산업재해율이 감소하였으며, 매출과 고용이 증가하는 성과가 나 타난 것을 확인하였다. 따라서 정부는 제조 소기업의 저탄소 활동과 산업안전, 고용창출이 연계될 수 있도록 정책적인 지원을 통해 지속가능한 성장을 위한 핵심 경영 전략으로 자리 잡게 해야 한다.

As environmental concerns escalate, the increase in recycling of aluminum scrap is notable within the aluminum alloy production sector. Precise control of essential components such as Al, Cu, and Si is crucial in aluminum alloy production. However, recycled metal products comprise various metal components, leading to inherent uncertainty in component concentrations. Thus, meticulous determination of input quantities of recycled metal products is necessary to adjust the composition ratio of components. This study proposes a stable input determination heuristic algorithm considering the uncertainty arising from utilizing recycled metal products. The objective is to minimize total costs while satisfying the desired component ratio in aluminum manufacturing processes. The proposed algorithm is designed to handle increased complexity due to introduced uncertainty. Validation of the proposed heuristic algorithm's effectiveness is conducted by comparing its performance with an algorithm mimicking the input determination method used in the field. The proposed heuristic algorithm demonstrates superior results compared to the field-mimicking algorithm and is anticipated to serve as a useful tool for decision-making in realistic scenarios.

This study introduces a novel approach for identifying potential failure risks in missile manufacturing by leveraging Quality Inspection Management (QIM) data to address the challenges presented by a dataset comprising 666 variables and data imbalances. The utilization of the SMOTE for data augmentation and Lasso Regression for dimensionality reduction, followed by the application of a Random Forest model, results in a 99.40% accuracy rate in classifying missiles with a high likelihood of failure. Such measures enable the preemptive identification of missiles at a heightened risk of failure, thereby mitigating the risk of field failures and enhancing missile life. The integration of Lasso Regression and Random Forest is employed to pinpoint critical variables and test items that significantly impact failure, with a particular emphasis on variables related to performance and connection resistance. Moreover, the research highlights the potential for broadening the scope of data-driven decision-making within quality control systems, including the refinement of maintenance strategies and the adjustment of control limits for essential test items.

This study is to manufacture a titanium dioxide (TiO2) photocatalyst by recycling sludge generated using titanium tetrachloride (TiCl4) as a coagulant. Compared to general sewage, a TiCl4 coagulant was applied to dyeing wastewater containing a large amount of non-degradable organic compounds to evaluate its performance. Then the generated sludge was dried and fired to prepare a photocatalyst (TFS). Scanning electron microscope-energy dispersive X-ray spectroscopy (SEM-EDX), X-ray diffraction (XRD), and nitrogen oxide reduction experiments were conducted to analyze the surface properties and evaluate the photoactive ability of the prepared TFS. After using titanium tetrachloride (TiCl4) as a coagulant in the dyeing wastewater, the water quality characteristics were measured at 84 mg/L of chemical oxygen demand (COD), 10 mg/L of T-N, and 0.9 mg/L of T-P to satisfy the discharge water quality standards. The surface properties of the TFS were investigated and the anatase crystal structure was observed. It was confirmed that the ratio of Ti and O, the main components of TiO2, accounted for more than 90 %. As a result of the nitric oxide (NO) reduction experiment, 1.56 uMol of NO was reduced to confirm a removal rate of 20.60 %. This is judged to be a photocatalytic performance similar to that of the existing P-25. Therefore, by applying TiCl4 to the dyeing wastewater, it is possible to solve the problems of the existing coagulant and to reduce the amount of carbon dioxide generated, using an eco-friendly sludge treatment method. In addition, it is believed that environmental and economic advantages can be obtained by manufacturing TiO2 at an eco-friendly and lower cost than before.

Buckwheat leaves have the best antioxidant properties, including flavonoids, rutin, and 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging ability compared to common buckwheat and tartary buckwheat. The total dietary fiber content of the powder extracted by mixing buckwheat leaves and sea tangle was 30.5%. To manufacture bread containing mixed buckwheat flour, 10, 20, and 30% buckwheat flour was mixed in to produce buckwheat bread. The bread’s characteristics underwent significant changes with varying levels of buckwheat flour. As the buckwheat content increased, the size of the bread decreased, but its hardness, gumminess, and chewiness tended to increase. The sensory characteristics of the bread were not improved due to the addition of gluten in the case of bread mixed with 20% buckwheat flour. When the buckwheat flour content was mixed at 20%, and the mixed extract of buckwheat leaves and sea tangle were added at 0.4% and 1.0%, there was no significant difference in the appearance of the buckwheat bread. Still, regarding sensory properties, the preference was higher in the sample with 1.0% added buckwheat flour.