• Title/Summary/Keyword: Health &Safety Management Systems

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Review of ESG Challenges in Supply Chain Management Using Text Analysis (ESG 경영시대의 공급망 관리 분야 과제: 텍스트 분석을 활용하여)

  • Rha, Jin Sung
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.5
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    • pp.145-156
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    • 2022
  • In recent years, as there is growing concern with ESG (Environmental, Social, and Governance), the strategic direction of business management is changing from maximizing shareholders wealth to maximizing stakeholders value. ESG is reshaping a corporation's supply chain management strategies. The purpose of this study is to explore the ESG challenges in supply chain management. As a result of network text analysis and topic modeling analysis on 3226 news articles, 'Suppliers', 'Sustainability', 'Shared Growth' 'Carbon Neutral', 'Safety and Health', 'Responsible Business Alliance', 'Supply Chain Due Diligence Law' were identified as the main issue. Since ESG initiatives in the supply chain are not limited to the efforts of individual firms, future research should focus on figuring out what difficulties and challenges exist in the diffusion of ESG practices along multi-tiered supply chains, and how to overcome them.

A Study on the Safety Improvement of PSA System for Hydrogen Separation and Purification (수소분리 및 정제를 위한 PSA(Pressure Swing Adsorption)시스템 안전성향상에 관한 연구)

  • Oh, Sang-Gyu;Lee, Seul-Gi;Lee, Jun-Seo;Ma, Byung-Chol
    • Journal of the Korean Institute of Gas
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    • v.26 no.1
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    • pp.7-19
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    • 2022
  • Hydrogen purification is generally performed through chemical and physical methods. Among various types of purification method PSA(Pressure Swing Adsorption) is widely used with its purification capacity and economic efficiency. In Korea, most of the hydrogen used in automobiles and power generation fuel cells is purified using PSA. Hydrogen produced in petrochemical complexes has difficulties in transportation. The government is planning to install hydrogen extractors that produce hydrogen directly from consumers in connection with the city gas supply chain, and companies are also installing related research and demonstration facilities one after another. Europe and others have recently established safety standards related to PSA and are making efforts for systematic safety management at the construction and operation stage, but domestic safety standards related to PSA are still insufficient. This study aims to identify problems of existing facilities through surveys and risk assessment by companies operating existing PSA, and to prepare domestic technical standards including them in overseas technical standards to promote the safety of new and existing PSA systems.

A Method of Machine Learning-based Defective Health Functional Food Detection System for Efficient Inspection of Imported Food (효율적 수입식품 검사를 위한 머신러닝 기반 부적합 건강기능식품 탐지 방법)

  • Lee, Kyoungsu;Bak, Yerin;Shin, Yoonjong;Sohn, Kwonsang;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.28 no.3
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    • pp.139-159
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    • 2022
  • As interest in health functional foods has increased since COVID-19, the importance of imported food safety inspections is growing. However, in contrast to the annual increase in imports of health functional foods, the budget and manpower required for inspections for import and export are reaching their limit. Hence, the purpose of this study is to propose a machine learning model that efficiently detects unsuitable food suitable for the characteristics of data possessed by government offices on imported food. First, the components of food import/export inspections data that affect the judgment of nonconformity were examined and derived variables were newly created. Second, in order to select features for the machine learning, class imbalance and nonlinearity were considered when performing exploratory analysis on imported food-related data. Third, we try to compare the performance and interpretability of each model by applying various machine learning techniques. In particular, the ensemble model was the best, and it was confirmed that the derived variables and models proposed in this study can be helpful to the system used in import/export inspections.

Characteristics of Nursing-related Patient Safety Incidents and Qualitative Content Analysis: Secondary data Analysis of Medical Litigation Judgment (2014~2018) (간호 관련 환자안전사건의 특성과 질적 내용 분석: 의료 소송 판결문(2014~2018년)을 이용한 이차자료 분석)

  • Min-Ji Kim;Won Lee;Sang-Hee Kim;So-Yoon Kim
    • Quality Improvement in Health Care
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    • v.29 no.2
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    • pp.15-31
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    • 2023
  • Purpose: This study aimed to identify the characteristics of patient safety incidents (PSIs) related to nursing and to provide primary data for preventing the recurrence of similar incidents. Methods: This secondary analysis study included damage claims rulings filed for clinical negligence from 2014 to 2018 that contained the keyword 'nurse'. It excluded judgments irrelevant to nursing care and in which clinical negligence or causal damages were overruled. A total of 93 cases were analyzed. The characteristics of PSIs were derived through descriptive statistics, and two instances of nursing-related PSIs were examined by qualitative content analysis focusing on root causes. Results: The analysis of PSIs related to nursing suggested that the medical institutions where the PSIs occurred most frequently were hospitals, and the most common types of PSIs were medication, surgery, and treatment/procedure, in that order. In addition, it indicated that nursing-related PSIs occurred most frequently in general wards during the day shift, with the most common related nursing practice being managing potential risk factors. The qualitative analysis showed that careless monitoring and institutional inertia were causes of PSIs. Conclusion: To prevent nursing-related PSIs, nurses need to individually monitor and assess patient conditions. In addition, support should be accompanied by the improvement in the systems in place aimed at preventing the recurrence of nursing-related PSIs at the institutional and national level, such as securing appropriate nursing personnel and improving labor conditions.

Web-Based Behavioral Tracking Management System for Elderly Care Automation

  • Seokjin Kim;June Hong Park;Dongmahn Seo
    • Journal of Information Processing Systems
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    • v.19 no.3
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    • pp.385-393
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    • 2023
  • Since the proportion of elderly citizens is increasing every year, the social interest is increasing for the health and the safety of the elderly. The nursing home is continually being created to care for more elderly people. However, the quality of service is not enough due to the lack of elderly caregivers. Elderly care and management services are being studied to replace the shortage of caregivers. Existing research for the implementation of an automatic care system has a high initial system cost. Furthermore, it lacks the ability to store and manage large amounts of data. In this paper, we propose a system that manages a large amount of data continuously generated through CCTV and provides a streaming service with a high level of quality-of-service (QoS) to users with collected video. Through the proposed system, it is possible to record and manage the behavioral information of the elderly occurring in the nursing home together with the video. In addition, according to the user's request, it has built a service that streams the video and behavioral information according to the date and time in real-time.

Feature Extraction for Bearing Prognostics based on Frequency Energy (베어링 잔존 수명 예측을 위한 주파수 에너지 기반 특징신호 추출)

  • Kim, Seokgoo;Choi, Joo-Ho;An, Dawn
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.2
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    • pp.128-139
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    • 2017
  • Railway is one of the public transportation systems along with shipping and aviation. With the recent introduction of high speed train, its proportion is increasing rapidly, which results in the higher risk of catastrophic failures. The wheel bearing to support the train is one of the important components requiring higher reliability and safety in this aspect. Recently, many studies have been made under the name of prognostics and health management (PHM), for the purpose of fault diagnosis and failure prognosis of the bearing under operation. Among them, the most important step is to extract a feature that represents the fault status properly and is useful for accurate remaining life prediction. However, the conventional features have shown some limitations that make them less useful since they fluctuate over time even after the signal de-noising or do not show a distinct pattern of degradation which lack the monotonic trend over the cycles. In this study, a new method for feature extraction is proposed based on the observation of relative frequency energy shifting over the cycles, which is then converted into the feature using the information entropy. In order to demonstrate the method, traditional and new features are generated and compared using the bearing data named FEMTO which was provided by the FEMTO-ST institute for IEEE 2012 PHM Data Challenge competition.

The National Health Insurance Scheme for Herbal Medicines in Japan (일본 건강보험의 한약 급여제도 현황)

  • Hyun, Eunhye;Lim, Byungmook
    • Journal of Society of Preventive Korean Medicine
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    • v.26 no.1
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    • pp.25-41
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    • 2022
  • Background & Objectives : As the government of South Korea implemented policies to strengthen health insurance coverage, the health insurance benefit for raw herbal medicines has been promoted. This study investigated the current status of the herbal medicines coverage in the Japanese national health insurance to secure reference data for the design of herbal medicines coverage in South Korea. Methods : Literature review was conducted to collect and analyze the history and current situation on herbal medicines coverage in the Japanese health insurance system. To supplement the contents not presented in the documents, on-site interviews were conducted at the medical institutions and pharmacies that prescribed or prepared herbal medicines in Tokyo, Japan. The contents of the survey included the background and progress of the herbal medicines coverage, the status of herbal medicines use, the payment system, and the safety management of herbal medicines. Results : Since the introduction of health insurance in the 1960s, Japanese insurance system has covered herbal medicines, and so far, it has been maintained without any additional restrictions. When the raw herbal medicines are prescribed to outpatients, the preparation fee is set higher than that of other medicines, but overall payment regulations and systems for herbal medicine are generally the same as other medicines. Conclusions : The case of Japan can be a useful references and implications for national health insurance policy on herbal medicines in south Korea.

Effects of Box Color and Precision Demand on the Muscles' Recruitment Pattern in Repetitive Lifting Tasks (대칭형 들기 작업에서 사회심리적 요인이 근육 동원 형태에 미치는 영향 분석)

  • Song, Young-Woong;Lee, Wook-Gee;Kim, Sang-Ho
    • Journal of the Korea Safety Management & Science
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    • v.11 no.3
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    • pp.79-85
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    • 2009
  • In this study, the effects of psychosocial stress (box color and precision demand) on muscle activity were evaluated in laboratory setting. Eight subjects performed sagittally symmetric lifting tasks. Box color (yellow, black), precision demand (yes, no), and box weight (5%MVC, 10%MVC, 15 %MVC) were varied and surface EMG signals from seven muscles(medial deltoid right, biceps brachii right, lateral triceps right, latissimus dorsi right, erector spinae right, external oblique right, internal oblique right) were recorded. EMG signals were band-pass filtered($10{\sim}400\;Hz$), rectified, RMS smoothed and normalized (NEMG). Analysis of variance tests were conducted on the total NEMG (TNEMG: the sum of the seven muscles' NEMGs) and on the individual muscle's NEMGs. Box color had no effect on the TNEMG and on the seven muscles activities(p>0.05). When precision demand was required at the end point of lifts, the mean NEMG showed higher values than no precision demand conditions: TNEMG (14% increase) and medial deltoid(40% increase), biceps brachii(10% increase), lateral triceps(26% increase), latissimus dorsi(25% increase) muscles. Those increases showed more conspicuous as the box weight increased in the muscles of medial deltoid, lateral triceps, and latissimus dorsi.

Study for Fault Diagnosis Methodologies Using Diagnosis for Monopropellant Propulsion System (단일 추진시스템 진단을 통한 고장진단 방법론에 관한 연구)

  • Song, Chang-Hwan;Lee, Young-Jin;Ku, Kyung-Wan;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.2041_2042
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    • 2009
  • The diagnostic/prognostic problems for condition based maintenance or Prognostics and Health Management has been used. Primary objectives of diagnosis/prognosis are maximizing system availability and minimizing downtime from fault isolation through more effective troubleshooting efforts. Diagnosis aims to detect the onset of failures to improve system performance and reduce life cycle cost by reducing the failure time. The prognosis can reduce operational and support total ownership cost and improve safety of machinery and complex systems. In this Paper, a fault diagnosis methodology has been described using a monopropellant propulsion system model as a test bench.

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Evaluation of Procss Capability for Exponential Distribution (지수분포의 공정능력 평가)

  • Hong-Jun Kim;Jin-Soo Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.25 no.6
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    • pp.48-53
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    • 2002
  • 품질보증 부분에서 대부분 통계적 수법들은 기지분포를 가정하여 데이터를 분석하고 있다. 예를 들면 공정능력에서는 정규분포를 가정하고 있고, 신뢰성 분석에서는 지수분포, 대수정규분포 또는 와이블분포 등을 가정하고 있다. 만약 이러한 것들이 가정하는 확률분포와 크게 편의될 때 도출된 결론은 그 유효성을 상실하게 된다. 따라서 공정이 정규분포를 하지 않는다면 정규분포에 기초한 공정능력지수의 사용은 부정확한 공정의 정보를 제시하게 된다. 이러한 문제를 해결하기 위하여 그 사례로 소표본일 경우 정규성의 유무를 Lilliefors 검정통계량으로 검정하였다. 그리고 최우추정량(MLE), 수정적률추정량(MME), 및 적률추정량(ME)을 사용하여 모수추정을 하여 그 각각의 경우에 공정능력지수로 평가하였다. 공정능력지수의 평가는 공정이 지수분포를 하는 경우에 적합한 공정능력지수($C_{pe}$)를 제안하고, 이것의 대안으로써 Pearson 시스템, Johnson 시스템 및 Burr 시스템과도 비교평가 하였다.