Purpose: To determine whether artificial -intelligence quarantine robots can positively contribute to environmental management in medical institutions. We conducted in-depth interviews to understand the experiences of hospitalized patients receiving environmental management from such robots. Methods: Data were collected during March 20~May 20, 2023. individual in-depth interviews were conducted with 15 hospitalized patients, who could provide specific details of their experience of receiving environmental management from a quarantine robot. Results: Qualitative content analysis identified four themes, including “First encounter with an amazing and new quarantine robot,” “Efficiently performs non-face-to-face quarantine work in hospitals,” “Problems with quarantine robots,” and “Recommendations for improving the functionality of quarantine robots in medical institutions so quarantine robots and humans can coexist.” Conclusion: Currently, quarantine robots have limited functionality, and additional research is needed to identify various other functions in consideration of future infectious disease situations and the level of quarantine appropriate in a hospital.

The successful implementation of green supply chain management(GSCM) practices requires a level of cooperation that can be difficult to conduct. Despite this challenge, limited scholarly attention has been paid to exploring how the implementation of GSCM practices can be effectively facilitated and enhanced through accumulated social capital with suppliers. Based on social capital theory, this study postulates that supplier network characteristics derived from social capital with key suppliers can be critical antecedents of GSCM, which in turn enhances the firm’s environmental performance. To test hypotheses, data were collected from 330 firms in 15 countries, and structural equation modeling was employed. Results show that GSCM improves environmental performance, and structural and cognitive social capitals of the supplier network act as antecedents and lead to GSCM implementation.

본 연구는 부산광역시를 대상으로 열환경을 개선하기 위한 바람길 관리 방안 제안을 목적으로 한다. 이를 위해, Landsat-7 위성 열영상 자료와 공간통계 분석을 실시하여 부산광역시의 Hot spot과 Cool spot 지역 특성을 파악하였으며, WRF 기상모의를 통해 주요 바람길을 분석하였다. 그 결과, Hot spot 지역 중 열환경 개선이 요구되는 지역은 부산진구, 동래구, 연제구와 사상구 공업지역, 대규모 시설지역에는 부산항 부두로 나타났으며 주요 바람길에는 금정산~백양산~ 구덕산 계곡부로서 확인되었다. 이를 바탕으로 바람길 관리 전략을 제시하면 다음과 같다. 공업시설과 부산항 일대는 대기 온도 상승 요인으로서 주변 지역의 열환경을 악화시키므로 시설의 온도저감 및 바람길을 고려한 도시·건축계획이 요구된다. 바람길 관리가 필요한 지역으로 만덕동, 사직동 일대 산림에 대한 추가적인 훼손이 일어나지 않도록 하여야 하며, 산림과 인접한 지역의 대규모 고층아파트는 산림에서 생성된 차고 신선한 공기의 흐름을 방해하므로 금정산과 접해있는 제3종 일반주거지역의 신규·재개발에 따른 고층아파트 단지 조성은 지양해야 한다. 본 연구 결과는 부산광역시의 기후변화에 대응한 도시계획 및 환경계획수립 시 기초자료로 활용할 수 있을 것으로 기대한다.

Today’s manufacturers must respond quickly to customer needs. In particular, make-to-order companies are constantly striving to satisfy customer demand for products in order to secure more favorable conditions in the future through bidding. In this bidding process, quotations play a very important role in providing favorable conditions. And the most important content that companies strive to satisfy their customers is the product's performance. Therefore, a company can attract customers and secure economic profits through good quotations, but it can be said that the first priority is to match the performance of the products requested by the customers. That is, when a company creates a quotation, it is important to structure the quotation according to the performance of the product. Thus, this paper intends to present a quotation management framework and a quotation BOM information model for constructing quotations efficiently in make-to-order manufacturing. And, in order to prove the usefulness of the proposed quotation management framework, we presents an case of the construction of an quotation management system based on the JAVA platform. As a result, the integrated quotation management system based on the proposed quotation management framework and quotation BOM has been successfully operated in a make-to-order company that manufactures marine engines.

본 연구에서는 단면설계 및 열 교환 장치 위치 변경을 통해 온실의 구조 변경을 진행하였으며, 선행연구를 통해 개발된 모델을 근간으로 하여 개선 여부에 따른 온실 내부 환경을 예측하였다. 단면형상과 열 교환 장치의 개선 후 유속 변화에 따른 시뮬레이션 분석을 진행하였으며, 이 때 온도와 균일도는 각각 평균 0.65°C, 0.75%p 상승함을 확인하였다. 해석대상 온실과 같은 소규모 온실의 경우 방열관의 난방성능 개선보다 FCU에 의해 형성되는 공기 유동이 균일한 환경 조성에 더 큰 영향을 미치는 것으로 판단된다. 개선 전 ‧ 후 온실에 환기시스템 적용 시 공기 유동 특성 분석을 위해 시뮬레이션 분석을 진행하였다. 공기 유동과 공기령은 유사한 분포를 보였으며, 개선 후 온실의 공기령이 개선 전 온실 대비 18초 낮게 나타났다. 개선 전 ‧ 후 온실 시뮬레이션 분석 결과 전체적으로 개선된 온실에서의 평균온도 및 온도 균일도 상승, 최대편차 감소 등 내부 환경의 균일성이 향상됨을 확인하였다. 선행연구로 개발 된 모델은 형상 변경, 열 교환 장치 위치 변경 등에 따라 변화하는 온실 내부 환경을 예측할 수 있음을 확인하였으며, 온실 설계, 온실 내 난방시스템 설계 등의 분야에 적용 가능할 것으로 판단된다.

When evaluating the extent of the impact of water pollutants on the surrounding area, we would like to present the target level (proposal) of the quality of the environment, which is the standard for evaluation. We propose the environmental quality target level for substances that need to be applied domestically by investigating overseas cases operating the integrated environmental management system and the implications of domestic environmental pollutant management. The appropriateness of the environmental quality target level reviewed in this study was determined using data from the water quality measuring network, and future improvement measures were proposed. We review the available methodologies for setting quality objectives for the environment. It proposed the environmental quality target level for 21 substances that have domestic water pollutant emission standards and do not have environmental standards, and proposed future improvement measures. If it is necessary to add quality target-level items of the environment in the future, it is believed that expansion will be possible based on the methodology presented in this study.

In addition to physical risks such as electrical, chemical, and mechanic ones in the workplace, psychosocial risks are also raising as an important issue in recent years in connection with human rights and work-life balance policies. The purpose of this study is to confirm the degree of effect of the psychosocial risk management plan at the workplace on workers through logistic regression analysis. Input data for logistic regression analysis is the results of a survey of 4,558 people conducted by the Institute for Occupational Safety and Health were used. There are 9 independent variables, including the change a workplace and confidential counseling, and the dependent variable is whether the worker feels the effect on the psychosocial risk management plan. As a result of this study, changes in work organization, dispute resolution procedures, provision of education program, notification of the impact of psychosocial risks on safety and health, and the persons in charge of solving psychosocial problems are shown effective in reducing worker’s psychosocial risks. This study drives which of the management plans implemented to reduce the psychosocial risk of workers in the workplace are effective, so it can contribute to the development of psychosocial risk management plans in the future.

The number of complaints of odor in urban area has been increased due to mixed industrial areas of odor-related factories and municipal waste treatment odor-producing facilities located in adjacent residential regions. In this study, the characteristics of odor were reviewed according to two types of complaint from regions in Incheon area. In this study, the characteristics of odor were reviewed in two patterns of odor complaints in Incheon area such as the complaints are maintained high continuously and are increased in recent period. International city with largescale residential areas with the environmental facilities and redevelopment of residential regions with the adjacent industrial complexes and other odor emission sources were analyzed. Based on these characteristics, the odor management measures of major odor generating sources in order to improve urban environment were discussed with reducing odor complaints effectively.

This experiment was carried out to study the effects of different environmental conditions and cultivation techniques on productivity of grasslands in central and southern area of Korea on 2017 and 2018. Average dry matter yield of grasslands at 10 actual production sites was 7,496 kg/ha. that was ranged from 4,652 to 13,292 kg/ha with least significant difference(LSD) of 1,577kg/ha between grasslands (p<0.05) on 2017. Average dry matter yield of grasslands at 10 actual production sites was 7,914 kg/ha. that was ranged from 3,927 to 12,372 kg/ha with LSD of 1,577kg/ha between grasslands(p<0.05) on 2018. Dry matter(DM) yield of grasslands have positive correlation with soil fertility (p<0.01) but not correlated with rainfall and air temperature among cultivation environments. And also DM yield of grasslands have positive correlation with grassland management techniques(p<0.01). These results suggest that practices of grassland management techniques and improvement of soil fertility are more important than cultivation environments by climate change for increasing the DM yield of grassland in central and southern area of Korea.

스마트 온실은 주로 파프리카, 토마토, 딸기와 같은 과채류 작물을 대상으로 보급되었다. 스마트 온실의 보급량은 지속적으로 증가하고 있지만, 그 실태에 대한 조사는 부족하다. 그러므로, 이번 연구를 통해 한국의 스마트 온실의 시설 규모, 재배작물, 재배방법, 발생 병해충과 실사용자의 평가를 중심으로 한 현 실태를 파악하고자 하였다. 스마트 온실의 리스트는 각 권역별 현장지원센터로부터 제공받았으며, 모든 조사는 농가를 직접 방문하여 수행되었다. 조사된 스마트 온실 농가의 약 50%가 3,300 m2~6,600 m2사이의 규모로 운영하고 있었다. 조사된 농가 중 97.1% 가 화학적 방법을 이용해 병해충을 방제하고 있었다. 조사된 농가에서 응답한 주요 식물병은 흰가루병과 잿빛곰팡이병으로 각각 54.4%, 33.8% 비율로 주로 문제가 되는 식물병이라고 응답하였다. 모든 토마토 농가에서 가루이류가 가장 문제가 되는 해충이라고 응답하였다. 그러나, 파프리카 농가의 76.5%, 70.6%가 총채벌레류와 진딧물류를 가장 문제가 된다고 응답하였다. 스마트 온실에 대한 사용자의 만족도는 10점 만점에 평균 7.5점이었다. 이 결과는 한국의 현재 스마트 온실을 관리하고 미래 스마트 온실을 설계하는 계획을 세우는 데 도움이 될 것이라 생각된다.