본 연구는 한국노동연구원의 사업체패널에 새롭게 포함된 스마트공장 관련 정 보들을 활용하여 스마트공장이 노동수요에 미칠 영향을 추정했다. 스마트공장의 도입은 전 반적으로 생산직의 업무량을 감소시키며, 스마트공장 수준이 고도화 될 수록 업무량 감소 정 도는 더욱 커진다. 특히 동일제품을 반복 생산하는 공정에서 두드러진다. 반대로 스마트공장 이 표방하는 지능화 및 연결성과 관련된 관리직, 기술전문직 등의 직종이나, 다양한 제품의 혼류 생산을 구현하는 과정의 생산직의 경우 업무량이 늘어나는 것이 관찰된다. 이는 기존 연구에서 제시한 결과와 전반적으로 부합한다. 본 연구의 의의는 최종 노동수요가 아닌 스마 트공장이 표준적인 업무량에 직접적으로 미치는 영향을 추정했다는 데 있다.

본 연구에서는 운전 시뮬레이션을 사용하여 자율주행 환경을 구현한 후 3-수준 자율주행 조건에서 자율주행 차량 (automated vehicle: AV)으로부터 운전자에게 전달되는 제어권 인수 요구(takeover request: TOR) 정보의 양상(시각, 청각 및 시각+청각) 및 도로 형태(직선도로와 곡선도로)에 따라 운전자의 제어권 인수 시간(takeover time: TOT) 및 정신적 작업부하(제어권 인수 이후에 운전자들이 경험한 주관적 작업부하와 심장박동수에서의 변화)가 어떻게 차별 화되는지 분석하였다. 본 연구의 결과를 요약하면 다음과 같다. 먼저, AV로부터 TOR이 제시된 이후 실험참가자들 이 보인 TOT에 대한 분석 결과, TOR 정보양상의 측면에서는 시각 정보가 가장 빠른 TOT를 이끌어 낸 반면 청각 정보 조건에서 가장 느렸고, 도로 형태 측면에서는 직선도로 조건에 비해 곡선도로 조건에서의 TOT가 유의하게 더 느렸으며, 특히 청각 정보 조건에서 도로 형태에 따른 TOT에서의 차이가 가장 컸다. 둘째, 정신적 작업부하에 대한 분석 결과, TOR 정보가 시각 혹은 시각+청각적으로 제시된 조건에 비해 청각적으로 제시된 조건에서 주관적 작업부 하 측정치와 심장박동수 변화 크기 모두 전반적으로 더 낮았고 특히, 심장박동수 변화의 경우 이러한 경향은 곡선도 로 조건에서만 관찰되었다. 이러한 결과는 TOR 정보의 양상과 도로 형태에 따라 운전자의 TOT와 정신적 작업부하 수준이 달라질 수 있고, 특히 TOT가 빠를수록 정신적 작업부하 수준은 상대적으로 더 높아질 수 있음을 시사한다.

Radioactive waste can be classified according to the concentration level for radionuclides, and the disposal method is different through the level. Gamma analysis is inevitably performed to determine the concentration of radioactive waste, and when a large amount of radioactive waste is generated, such as decommissioning nuclear facilities, it takes a lot of time to analyze samples. The performance of a lot of analysis can cause human errors and workload. In general, gamma analysis is performed using by HPGe detector. Recently, for convenience of analysis, commercial automatic sample changers applicable to the HPGe detectors were developed. The automatic sample changers generate individual analysis reports for each sample. In this study, gamma analysis procedure was improved using the application of the automatic sample changer and the automated data parsing using by Python. The application of automatic sample changers and data parsing technique can solve the problems. The human errors were reduced to 0% compared to the previous method by improving the gamma analysis procedure, and working time were also dramatically reduced. This automation of analysis procedure will contribute to reducing the burden of analysis work and reducing human errors through various improvements.

This paper is the result of a comparative analysis of crew members' workloads using the EMG and OWAS methods according to the fishing process before and after the improvement of the operating system of the experimental vessel, with the aim of improving operational efficiency and safety work of coastal improved stow net fishing vessels. The target crew members were three people with at least five years of experience on board the same fishing vessel as the experimental vessel. After improving the operating system, such as installing a power block crane and two capstans, change the location of the ball-roller, the time required for setting and hauling work decreased (p < .01), and the evaluation results by OWAS showed that the overall workload for setting and hauling net work decreased. The results of muscle activity analysis showed a decrease in lashing anchor work (p < .01) in the case of hauling net and in anchor dropping work in the case of setting net (p < .001). It is judged that the use of ball rollers in net handling has been reduced; consequently, work safety has been improved.

PURPOSES : In this study, the amount of core stone breaking in the size of boulders by excavator braker work was analyzed quantitatively through on-site test construction. In addition, the factors affecting workload were studied. METHODS : In the field test, 30 core stones of boulder sizes (1–4 m3) that appeared during earthworks, such as road construction and site construction, were collected from three locations, and the rock breaking work was carried out simultaneously using three excavator breakers(1.0-m3 volume). During the core stone breaking, progress was analyzed through video recordings. RESULTS : After the completion of rock breaking, the amount of breaking work was analyzed by direct loading and weighing using a 15- ton dump truck. As a result of the test construction, there was a significant difference in the amount of work completed per hour. CONCLUSIONS : It was found that the results were greatly affected by not only the performance of the excavator braker equipment, but also the skill of the driver and the size of the core stones.

목적 : 본 연구는 상지근력 저하로 인해 일상생활 활동 수행이 제한되는 근육병 장애인을 대상으로 Arm Support 사용에 따른 작업 부하의 변화와 심리·사회적 영향을 알아보고자 하였다. 연구방법 : 연구 대상자는 지역사회에 거주하는 근육병 장애인 3명으로, 모두 척수성 근위축증을 진단받았다. 대상자는 능 동형 Arm Support 적용 전·후에 식사, 마스크 착용, 머리 빗기 활동을 수행하였다. 이후, NASA-TLX를 통해 능동형 Arm Support 적용 전·후 활동의 작업 부하를 측정 및 비교하였으며, 한국판 보조공학기기 심리·사회적 영향 척도 (K-PIADS)를 활용하여 Arm Support의 심리·사회적 영향력을 측정하였다. 마지막으로, 인터뷰를 통해 기기 사용 후 느낀 주관적인 감정 등에 대해 알아보았다. 결과 : 작업 부하 변화는 Arm Support 적용 후에 모든 항목의 평균 점수가 감소하였으며, 신체적 요구도 항목의 평균 점수가 가장 많이 감소하였다. 심리·사회적 영향 측정 결과는 하위 영역인 자기욕구 실현능력 2.08점(‘긍정적인 영향 ~ 매우 긍정적인 영향’), 적응성 2.06점(‘긍정적인 영향 ~ 매우 긍정적인 영향), 자존감 1.71점(’다소 긍정적인 영향 ~ 긍정 적인 영향‘)이었다. 인터뷰를 통해, 대상자는 Arm Support 사용함으로써 활동 수행 시 자신감, 만족감, 편안함 등을 느 꼈지만, Arm Support 구조가 정확하게 고정되지 않거나 휠체어 구조물의 간섭으로 인해 불편함 또한 느낀 것을 확인하 였다. 결론 : 본 연구를 통해 Arm Support가 근육병 장애인의 작업 부하를 낮추며, 긍정적인 심리·사회적 영향을 미치는 점 을 알 수 있었다. 추후에는 다양한 유형의 근육병 장애인을 대상으로 실생활 기반의 연구가 진행되어야 할 것이며, 체계 적인 평가를 통해 맞춤형의 서비스가 이루어져야 할 것이다. 본 연구의 결과가 Arm Support를 중재 전략으로 활용하는 연구와 서비스에 기초자료로 활용되기를 기대한다.

참외는 줄기를 땅 위에서 포복재배로 유인하는 것이 일반적으로써 노동강도가 강해서 농업인 근골격계 질환의 원인이 되므로 작업강도를 낮추고 품질도 향상시키기 위한 새로운 재배 방법을 찾고자 본 실험을 수행하였다. 그 결과, 줄기를 상향으로 유인하는 처리구가 생육 및 광합성 특성이 좋았고, 근활력은 하향 줄기 유인 처리구에서 좋은 것으로 나타났다. 상품 수량에 있어서는 상향 처리구가 4.055kg/10a, 하향 처리구가 3,983kg/10a으로 통계적인 유의성은 없었다. 줄기유인 작업에 대한 작업자세 평가의 경우, 기존 포복재배가 상향, 하향 재배방식 보다 위험수준이 높은 것으로 평가되었다. 결론적으로, 참외 수경 수직재배는 작물 생육, 수확량 및 작업 노동강도 등을 고려해 볼 때 기존 포복재배 방식을 대체할 수 있는 새로운 재배방법이라고 판단되고, 참외 줄기 유인 방법별로 수량 등에 유의성이 없으므로 상향 줄기유인 방법이나 하향 줄기 유인방법 중에서 하우스의 구조나 재배자의 의향에 따라서 선택하여 수직재배를 하면 될 것으로 사료된다.

Postural stability can reduce the likelihood of critical slip and fall accidents in workplaces. The present study aimed to analyze the effect of shoes type on the ability of postural control during quiet standing. The effect of workload on the body balance was also of primary concern. Thirteen healthy male undergraduate students participated voluntarily in the experimental study. Standing on a force plate with wearing slippers, sports shoes, or safety shoes, two-axis coordinate on subjects’ center of pressures (COP) was obtained in the two levels, rest and workload. For the workload level, subjects performed treadmill exercise to reach the predetermined level of physical workload. By converting the position coordinates of COPs, the postural sway length in both anterior-posterior (AP) axis and medio-lateral (ML) axis was assessed. ANOVA results showed that, in AP direction, wearing slippers significantly increased the postural sway length compared to wearing sports shoes or safety shoes. No significant difference in the mean sway length in AP axis was observed between sports shoes and safety shoes. In ML direction, both the workload and the shoes type did not significantly affect the mean length of postural sway. However, the postural sway length increased marginally with the slippers especially during the workload condition. This study explains wearing slippers may interfere with the ability of postural control during quiet standing. Physical workload decreases the ability of postural stability further.

본 연구에서는 운전 시뮬레이션을 이용하여 적응형 정속 주행(adaptive cruise control: ACC) 시스템에 대한 운전자의 신뢰 및 도로 혼잡도가 운전자의 작업부하와 상황인식에 미치는 효과를 알아보았다. ACC 시스템에 대한 운전자의 신뢰는 ACC 시스템이 정상 작동하는 조건과 시스템이 오작동하는 조건을 통해 신뢰상승 집단과 신뢰감소 집단으로 구분하였다. 도로 혼잡도는 운전자 차량 주변의 차량 수로 수준을 조작하였다. ACC 시스템에 대한 신뢰와 도로 혼잡도를 달리한 네 가지의 실험 조건 각각에 대해 운전자들의 작업부하와 상황인식을 측정하였다. 본 연구의 결과를 요약하면 다음과 같다. 먼저 ACC 시스템에 대한 신뢰감소 집단은 신뢰상승 집단에 비해 이 시스템의 사용으로 인한 운전부담 경감이나 안전운전 확보 등을 포함한 측정 항목 모두에서 시스템에 대한 신뢰 점수가 유의하게 더 낮았다. 둘째, ACC 시스템에 대한 신뢰감소 집단은 신뢰상승 집단에 비해 이차과제에서 더 느린 반응시간을 보였고, 시스템 사용에서의 주관적인 작업부하 수준도 더 높게 평정하였다. 셋째, 이와는 대조적으로 운전자들의 운전상황에 대한 상황인식은 ACC 시스템 신뢰감소 집단이 신뢰상승 집단보다 유의하게 더 우수하였다. 본 연구의 결과들은 ACC 시스템에 대한 신뢰가 운전 중에 수행하는 다양한 정보처리에 영향을 미칠 수 있음을 보였는데, 이것은 자동화된 운전보조 시스템의 설계에서 사용자의 시스템에 대한 신뢰가 중요한 변인으로 고려되어야 한다는 것을 시사한다.

PURPOSES : This study evaluated the effects of dynamic road marking (DRM) on the reduction in drivers’ workload under rainy conditions. Changes in workload in two cases were evaluated: only-lane marking and a combination of lane marking and DRM. METHODS : Rainy conditions were simulated by utilizing the full-scale road weather proving ground. Moreover, participants’ eye movements were used as the indicators for workload. RESULTS : Workload in case of the combination of lane marking and DRM was found to decrease by 44.6% compared to the case of onlylane marking, under the rain intensity of 15 mm/h. Moreover, workload decreased by 50.7% in case of the combination of lane marking and DRM compared to the only-lane marking case, under 30 mm/h rain intensity. CONCLUSIONS : This study validated the positive effects of the DRM in workload reduction under rainy conditions.

PURPOSES : This study analyzed the difference in a driver’s workload between using a driving simulator and field driving in tunnel, highway.METHODS: Based on the literature review, it was found that a driver’s workload could be quantified using biosignals. This study analyzed the biosignal data of 30 participants using data collected while they were using a driving simulator and during a field test involving tunnel driving. Relative energy parameter was used for biosignal analysis.RESULTS : The driver’s workload was different between the driving simulator and field driving in tunnels, highway. Compared with the driving simulator test, the driver’s workload exhibited high value in field driving. This result was significant at the 0.05 level. The same result was observed before the tunnel entrance section and 200 m after the entrance section.CONCLUSIONS: This study demonstrates the driving simulator effect that drivers feel safer and more comfortable using a driving simulator than during a field test. Future studies should be designed considering the result of this study, age, type of simulator, study site and so on.

This present study tested whether job stress mediates the relationship between workload and safety behavior of members in organization. In addition, we hypothesized trust in leader/coworkers functions as moderator between not only the workload-job stress link, but also the job stress-safety behavior link. In order to investigate the hypotheses, 841 employees in various fields of companies were sampled. Using structural equation modeling(SEM), we conducted moderated mediation model analysis which elaborately investigated the significance of our hypotheses. The results indicated that job stress mediated the link between workload and safety behavior of members. In addition, the relationship between workload and job stress was moderated by trust in leader/coworkers. Moreover trust in leader/coworkers moderated the job stress-safety behavior linkage. The implications and limitations of our study and suggestions for future research were discussed.

Several fields of science have demanded large-scale workflow support, which requires thousands of CPU cores or more. In order to support such large-scale scientific workflows, high capacity parallel systems such as supercomputers are widely used. In order to increase the utilization of these systems, most schedulers use backfilling policy: Small jobs are moved ahead to fill in holes in the schedule when large jobs do not delay. Since an estimate of the runtime is necessary for backfilling, most parallel systems use user’s estimated runtime. However, it is found to be extremely inaccurate because users overestimate their jobs. Therefore, in this paper, we propose a novel system for the runtime prediction based on workload-aware clustering with the goal of improving prediction performance. The proposed method for runtime prediction of parallel applications consists of three main phases. First, a feature selection based on factor analysis is performed to identify important input features. Then, it performs a clustering analysis of history data based on self-organizing map which is followed by hierarchical clustering for finding the clustering boundaries from the weight vectors. Finally, prediction models are constructed using support vector regression with the clustered workload data. Multiple prediction models for each clustered data pattern can reduce the error rate compared with a single model for the whole data pattern. In the experiments, we use workload logs on parallel systems (i.e., iPSC, LANL-CM5, SDSC-Par95, SDSC-Par96, and CTC-SP2) to evaluate the effectiveness of our approach. Comparing with other techniques, experimental results show that the proposed method improves the accuracy up to 69.08%.

Importance of the work-related musculoskeletal disorders (WMSDs) has been increasing in the hospital industry such as health care industry and financial industry. This study investigated in order to identify the factors like general, occupational and ergonomically characteristics of the subjects related to musculoskeletal disorders (MSDs) of physical therapists (PTs). Ergonomic tools of rapid upper limb assessment (RULA) were used for evaluation workload of the tasks. Prevalence of MSDs were 13 PTs (26.0%) for neck, 31 PTs (62.0%) for shoulder, 9 PTs (18.0%) for arm/elbow, 27 PTs (54.0%) for hand/wrist, 28 PTs (56.0%) for back, 14 PTs (28.0%) for leg/foot. The analysis of the rate of the pain intensity showed that 53.5% subjects experience moderate pain and 14.0% subjects experience severe pain. Factors which were general characteristics, for example, height, ergonomically characteristics such as 'Posture Score A' were related musculoskeletal subjective symptoms in logistic analysis (p<.05). Among physical therapists, action level of RULA were action level 2 (6.0%), action level 3 (52.0%), action level 4 (42.0%). Physical therapists were estimated one of the highest risk factor in this study. This study suggested that the need of preventive education and program for PTs (physical therapists). Comprehensive and systematic management plans should be established to include both ergonomic and sociopsychological aspects.

Currently, national fishery population is aging gradually due to avoiding fishery by young people as they do for farming. The working condition of fishing industry is very poor due to the bad climate, rough wave, worn tools, and narrow working space which cause the uncomfortable postures. These poor working conditions have strong influence on the health and safety of fishermen and cause the work related musculoskeletal disorders (WMSDs). The survey was conducted in this study to investigate the WMSDs symptoms for the fishermen in the coastal fishery. One hundred and twenty five coastal fishermen, especially drift gill net fishermen, participated in this study, and among them 110 responses were analyzed for this study due to the unreliable and insincerity of reponses. The results showed that WMSDs symptoms appeared in various parts of the body such as lower back (84.6%), shoulder (82.7%), and neck (68.2%). The drift gill net fishing require a lot of energy spending and repetitive movement because of the characteristics of the drift gill net fishery and this cause the WMSDs symptoms on back, shoulder, and neck. In this study, WMSDs symptoms of the coastal fishermen were surveyed and related various factors and characteristics were analyzed through ergonomic assessment. The results of this study can provide some basic information to improve the work environment of fishing industry.

The directions of the road are divided into two, the right-hand side and left-hand side of the road, by the convention and specific native method in the world. This paper deals with the characteristics and behaviors of drivers who are accustomed to drivin

This paper proposes a hierarchical approach to the machine loading problem when the workload and tool magazine capacity of each machine are restrained. This heuristic approach reduces the maximum workload of the machines by partially grouping them. This research deals with situations where different groups of machines performing the same operation require different processing times. This work proposes a solution that is comprised of two phases. In first phase, demand is divided into batches and then operations are allocated. In Phase II, the processing time of the operation is different for each machine group, which is composed of the same identical machines; however, these machines can perform different sets of operations if tooled differently. In partial grouping, each machine is tooled differently, but they can assist one another in processing each individual operation.

The assembly line balancing problem has been focused by many research works because the efficient management of the assembly line might influence not only the quality of the products but also the working conditions for the workers. This paper deals with U

본 연구는 인간의 정신부하작업중 반응시간이 제한된 긴급상황에서 시스템이 비정상적인 상태로 변화할 경우 인간의 수행도 특성을 살펴보고 이를 보조할 수 있는 보조장치의 설계에 도움을 주는 기준안을 제시하고자 한다. 긴급상황에서의 최우선시 되는 수행도는 반응시간보다는 시스템을 성공적으로 제어하여 비극적인 재해를 방지하는 일이다. 그러므로 여러 작업 수행도들 중에서 제어에 실패하게 되는 요인의 영향도를 알아내는 것이 중요하다. 실험결과 인간의 반응은 극히 제한된 짧은 반응시간내의 수행도는 단일작업에서의 수행도는 시스템의 전체 영향도를 제대로 반영하지 못함을 알 수 있었다. 이럴 경우 부수작업을 부여했을 때 시스템의 변화 요인의 영향도를 더욱 잘 나타내는 것임을 유도하였다. 그러므로 시스템의 상황이 비 정상적인 상태로 진행될 경우, 특히 이러한 상황에서 반응해야 할 시간이 제한적일 경우 수행도 측정에는 다양한 형태의 부수작업을 개발하고 이를 이용한 측정이 더욱 효율이 있다는 점을 제시한다.. 이러한 실험의 결과를 유추해보면 안전장치 기기의 설계를 위해서는 운용되는 상황에 맞는 측정방법이 개발되어야 긴급 상황의 수행도를 측정할 수 있다.