• Title/Summary/Keyword: Human Factors Engineering

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Development of a Postural Evaluation Function for Effective Use of an Ergonomic Human Model (인체모형의 효과적 활용을 위한 자세 함수의 개발)

  • Park, Sungjoon;Kim, Ho
    • Journal of Korean Institute of Industrial Engineers
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    • v.28 no.2
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    • pp.216-222
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    • 2002
  • The ergonomic human model can be considered as a tool for the evaluation of ergonomic factors in vehicle design process. The proper anthropometric data on driver's postures are needed in order to apply a human model to vehicle design. Although studies on driver's posture have been carried out for the last few decades, there are still some problems for the posture data to be applied directly to the human model due to the lack of fitness because such studies were not carried out under the conditions for the human model application. In the traditional researches, the joint angles were evaluated by the categorized data, which are not appropriate for the human model application because it is so extensive that it can not explain the posture evaluation data in detail. And the human models require whole-body posture evaluation data rather than joint evaluation data. In this study a postural evaluation function was developed not by category data but by the concept of the loss function in quality engineering. The loss was defined as the discomfort in driver's posture and measured by the magnitude estimation technique in the experiment using a seating buck. Four loss functions for the each joint - knee, hip, shoulder, and elbow were developed and a whole-body postural evaluation function was constructed by the regression analysis using these loss functions as independent factors. The developed postural evaluation function shows a good prediction power for the driver's posture discomfort in validation test. It is expected that the driver's postural evaluation function based on the loss function can be used in the human model application to the vehicle design process.

A Study on the Safety and Management Plan of Aviation Maintenance due to Human Error (인적오류에 의한 항공정비의 안전과 관리방안에 관한 연구)

  • Park, Se-Jong;Jeon, Eon-Chan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.10
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    • pp.68-73
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    • 2020
  • The proportion of airline accidents caused by human factors is steadily increasing. The aviation industry has made considerable progress in reducing the accident rate; however, since the early 1980s, the accident rate has remained constant. Due to airspace congestion, the safety margins of these existing safety promotion methods are gradually decreasing; thus, new methods to prevent accidents and quasi-accidents must be devised. Causative factors of aviation accidents include increased air traffic due to increased air demand, increased cumulative working hours due to long-distance flights, and complicated flight environments. Accidents often occur when several small errors accumulate in the normal course of operation, rather than after a single error. Accordingly, in this study, the impacts on air navigation due to human error by aviation maintenance personnel and varying international standards (i.e., KOCA vs. F.A.A vs. EASA) analyzed, and the relationship between human decision-making and behavior was investigated. The resulting safety analysis and alternatives were presented to prevent aviation maintenance accidents and cognitive ergonomics errors.

Factors Influencing Human Resource Planning (HRP) for Local Workforce Supply in Malaysian Construction Industry

  • Dom, Norhidayah Md;Kasim, Narimah;Shamsudin, Alina
    • Journal of Construction Engineering and Project Management
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    • v.2 no.1
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    • pp.5-13
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    • 2012
  • The lacks of local workforce supply become a problematic in Malaysian construction industry. Meanwhile, HRP is important during workforce supply to help organizations in order to appoint the right people in the right job. This paper reports on the use of factors influencing HRP towards local workforce supply in the construction industry in general, and Malaysian construction in particular. Semi structured interviews were conducted to 10 interviewees from the government and non-government organizations to investigate current issues of local workforce and the practices of HRP in the construction organization. The analysis methods were based on descriptions of previous tested research. The findings reveal that the lack of local workforce is due to low wages system, safety issues, educational changes, low status and unsecured work, environment in construction industry, developments and technologies changes in Malaysia. The internal factors of HRP were practiced among construction organization are organization strategy, organizational culture, organization changes, leadership and experience, nature of work and empowerment of labor. Meanwhile, the external factors are technology changes, economic changes, legislation and demographic changes. The paper provides valuable information on the practices of factors influencing HRP for local workforce supply in Malaysian construction industry.

Ergonomics curricula or Korean design colleges

  • Lee, Kyong-Hee;Cheng, Hong-In
    • Archives of design research
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    • v.20 no.2 s.70
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    • pp.29-40
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    • 2007
  • Human factors engineering has been taught in the design fields and considered as a necessary course for design students, We, ergonomists working with a design department, analyzed the current status of ergonomics curricula in the Korean design colleges. Sixty one percent of schools with design departments were offering ergonomics courses and most courses were electives. Comparatively more ergonomic courses were offered in industrial design and digital media departments. Ergonomic and human factors knowledge might not properly be acquired with this current status of the design curricula and systematic solutions should be considered and prepared for the future Korean designers.

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Exploring the Contributory Factors of Confined Space Accidents Using Accident Investigation Reports and Semistructured Interviews

  • Naghavi K., Zahra;Mortazavi, Seyed B.;Asilian M., Hassan;Hajizadeh, Ebrahim
    • Safety and Health at Work
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    • v.10 no.3
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    • pp.305-313
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    • 2019
  • Background: The oil and gas industry is one of the riskiest industries for confined space injuries. This study aimed to understand an overall picture of the causal factors of confined space accidents through analyzing accident reports and the use of a qualitative approach. Methods: Twenty-one fatal occupational accidents were analyzed according to the Human Factors Analysis and Classification System approach. Furthermore, thirty-three semistructured interviews were conducted with employees in different roles to capture their experiences regarding the contributory factors. The content analyses of the interview transcripts were conducted using MAXQDA software. Results: Based on accident reports, the largest proportions of causal factors (77%) were attributed to the organizational and supervisory levels, with the predominant influence of the organizational process. We identified 25 contributory factors in confined space accidents that were causal factors outside of the original Human Factors Analysis and Classification System framework. Therefore, modifications were made to deal with factors outside the organization and newly explored causal factors at the organizational level. External Influences as the fifth level considered contributory factors beyond the organization including Laws, Regulations and Standards, Government Policies, Political Influences, and Economic Status categories. Moreover, Contracting/Contract Management and Emergency Management were two extra categories identified at the organizational level. Conclusions: Preventing confined space accidents requires addressing issues from the organizational to operator level and external influences beyond the organization. The recommended modifications provide a basis for accident investigation and risk analysis, which may be applicable across a broad range of industries and accident types.

Factors that Impact Construction Workers' Hazard Recognition Ability and their Technological Solutions

  • Shrestha, Bandana;Park, JeeWoong;Shrestha, Pramen
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.458-464
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    • 2022
  • Hazard recognition is considered as one of the pre-requisites for effective hazard management and injury prevention. However, in complex and changing environments, construction workers are often unable to identify all possible hazards that can occur in the jobsite. Therefore, identification of factors that impact hazard recognition in the work environment is necessary to reduce safety incidents as well as to develop strategies that can improve worker's hazard recognition performance. This study identified factors/problems that impact worker's hazard recognition abilities and suggested some potential technologies that can mitigate such problems. Literature reviews of journal articles and published reports related to hazard recognition studies were conducted to identify the factors. The study found out that the major factor responsible for affecting worker's hazard recognition abilities were human-related. Industry factors, Organizational factors and Physical factors of the site were the other factors identified from the study that impact worker's hazard recognition performances. The findings from the study can help site personnel recognize areas where effective measures can be directed towards worksite safety of workers while working in complex construction environments.

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Deep learning neural networks to decide whether to operate the 174K Liquefied Natural Gas Carrier's Gas Combustion Unit

  • Sungrok Kim;Qianfeng Lin;Jooyoung Son
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.383-384
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    • 2022
  • Gas Combustion Unit (GCU) onboard liquefied natural gas carriers handles boil-off to stabilize tank pressure. There are many factors for LNG cargo operators to take into consideration to determine whether to use GCU or not. Gas consumption of main engine and re-liquefied gas through the Partial Re-Liquefaction System (PRS) are good examples of these factors. Human gas operators have decided the operation so far. In this paper, some deep learning neural network models were developed to provide human gas operators with a decision support system. The models consider various factors specially into GCU operation. A deep learning model with Sigmoid activation functions in input layer and hidden layers made the best performance among eight different deep learning models.

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A Study on the API Gateway for human resources management modules extensions in ERP

  • Lee, Ji-Woon;Seo, Hee-Suk
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.2
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    • pp.79-88
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    • 2021
  • In this paper, we propose a API Gateway technique for the expansion of human resource management module, one of the ERP functions. The institution has introduced ERP (Enterprise Resource Planning) based on its efforts to transform all human and physical resources into business competitiveness and its response to the digital knowledge informatization environment, and listed it as multiple success factors. Human resource management is one of the factors that have been dealt with. However, ERP's Human Resources Management Module remains in the role of functional personnel management. How to utilize human resources begins with navigating and recognizing human resources. The proposed API Gateway technique leverages blockchain networks to design and implement APIs for human resource sharing and navigation, including the possibility of extending ERP's human resource management module. Secondly, it was designed and implemented using a smart contract that behaves like an API for preventing information forgery. The proposed method will not only be used as a tool that can actively utilize human resources, but will also be a complete resource for utilizing big data technology.

Ginsenoside Rc and Re Stimulate c-Fos Expression in MCF-7 Human Breast Carcinoma Cells

  • Lee, Young-Joo;Jin, Young-Ran;Lim, Won-Chung;Ji, Sang-Mi;Cho, Jung-Yoon;Ban, Jae-Jun;Lee, Seung-Ki
    • Archives of Pharmacal Research
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    • v.26 no.1
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    • pp.53-57
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    • 2003
  • We have found that ginsenoside Rc and Re induce c-fos in MCF-7 human breast carcinoma cells at both the mRNA and protein levels. However, neither ginsenoside activated the expression of reporter gene under the control of AP-1/TPA response elements. We have also examined the possibility that ginsenoside Rc and Re act by binding to intracellular steroid hormone receptors that act as transcriptional factors in the nucleus in inducing c-fos mRNA in MCF7 human breast carcinoma cells. However, ginsenoside Rc and Re did not bind to glucocorticoid, androgen, estrogen, or retinoic acid receptors as examined by the transcription activation of the luciferase reporter genes in CV-1 cells that were transiently transfected with the corresponding steroid hormone receptors and hormone responsive luciferase reporter plasmids. These data demonstrate that ginsenoside Rc and Re act via other transcription factors and not via estrogen receptor in c-Fos expression.

Prevention of Human Error in Shipbuilding Industry (조선업종에서의 휴먼에러 예방)

  • Kim, Yu-Chang;Jung, Hyun-Wook;Bae, Chang-Ho
    • Journal of the Ergonomics Society of Korea
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    • v.30 no.1
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    • pp.127-135
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    • 2011
  • The nuclear power plants and chemical industries are trying to find human error to prevent occupational injury. The ratio of occupational injury is higher than the other industries in shipbuilding industry. It is known that the most important reason is human error. Recently, the shipbuilding industries interest in human error to prevent occupational injury. This paper outlines four approaches of human error identification used in shipbuilding industry such as survey of occupational injury, root cause analysis, risk assessment, and performance shaping factors. Finally, this paper proposes the interventions of ergonomics for preventing the human errors.