• 한국건축시공학회지
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• 제18권6호
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• pp.603-609
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• 2018

우리나라의 경제성장 수준에 비하여 삶의 질 수준은 낮은 것으로 알려져 있다. 특히, 건축공사 현장관리자들은 건설업의 특성상 이른 출근시간과 적은 휴일로 인하여 타 직종과 비교하였을 때 삶의 질 수준이 낮은 것으로 나타났다. 본 연구는 건축공사 현장관리자의 워라밸 향상에 대한 요구사항을 분석하는 것을 목적으로 하였다. 이를 위해 설문조사를 통해 현장관리자의 근로실태와 워라밸을 분석하였다. 연구 결과, 건축공사 현장관리자들의 근로시간은 길고, 여가시간은 짧은 것으로 나타났다. 워라밸 향상에 대한 요구사항은 여가시간, 근로시간, 임금, 직업안정성 순으로 높게 나타났다. 집단별 요구사항의 차이는 '과장, 차장' 직급에서 근로시간 단축에 대한 요구가 가장 높게 나타났고, '부장 이상' 에서 가장 낮게 나타났다. 본 연구결과는 건설현장관리자들의 워라밸 향상을 위한 정부나 건설회사의 정책방향 설정을 위한 기초자료로 활용될 수 있을 것으로 기대된다.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.802-807
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• 2005

For linear projects, it has long been known that resource utilization is important in improving work efficiency. However, most existing scheduling techniques cannot satisfy the need for solving such issues. This paper presents an optimization model for solving linear scheduling problems involving resource assignment tasks. The proposed model adopts constraint programming (CP) as the searching algorithm for model formulation, and the proposed model is designed to optimize project total cost. Additionally, the concept of outsourcing resources is introduced here to improve project performance.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.80-86
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• 2013

Knotworking represents a distributed collaborative expertise in pursuit of a task that is organized among designers from different design disciplines. Construction processes involve phases and tasks that cannot be solved in one organization only, as integration of expert knowledge from various sources is needed. Through knotworking, groups of people, tasks and tools are set to work intensively for a short period of time to solve a problem or accomplish a task. Knotworking requires intensive collaboration across organizational boundaries and hierarchies. The practice of knotworking has been developed and applied in the development of healthcare organizations, libraries and school-university relationships, but it has not previously been applied in the construction industry. In this paper, we describe the concept of knotworking and the findings of a case study that we completed in the Finnish construction industry. We will also compare the similarities and differences of the Big Room and knotworking in terms of participants, duration, target, space/infrastructure, benefits and challenges. Finally, we present some suggestions for further research and experimentation on knotworking in construction projects.

• 한국안전학회지
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• 제22권3호
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• pp.81-87
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• 2007

In this study digital human models of ship construction tasks using modeling & simulation were constructed and human models' activities through human activity analysis were evaluated. Human Factors experts analyzed the actual workers' tasks using the same technique used in human activity analysis at the same time. The main objective of this study is to check a possibility of applying digital human modeling technique to ship construction tasks that are mostly non-standardized(not uniformed) whereas most applications of digital human modeling technique have been applied to standardized tasks. We evaluated postures of both real workers and digital humans by RULA. It turned out that the final scores of RULA evaluation on real workers are the same as the RULA scores for digital humans. However, there were differences of RULA detail scores between real workers and digital humans in the several processes related with the wrist twist and deviations. Those differences are considered to be resulted from the error in the on-site measuring worker's body dimension which could be reduced by accurate tools to correct data for body dimension and digital real drawings for facilities. The results showed possibility of application of digital human modeling and ergonomic analysis on informal work operations as well as formal operations in the shipbuilding industry.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권9호
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• pp.359-366
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• 2021

대한민국 건설사들은 아파트 하자 정보를 축적하고 보수작업을 관리하기 위한 시스템을 운영하는데 상당한 인력과 비용을 투자하고 있다. 본 연구에서는 하자 접수 상세내용 텍스트 데이터를 이용하여 하자 보수 시설공사에 따른 세부공종을 분류하는 머신러닝 모델을 제안한다. 두 가지 단어 임베딩(Bag-of-words, Term Frequency-Inverse Document Frequency (TF-IDF))과 두 가지 분류기(Support Vector Machine, Random Forest)를 통해 한국어로 작성된 65만건 이상의 하자 접수데이터로부터 하자보수 시설공사 세부공종을 분류했다. 특히, 이번 연구에서는 특정 시설공사(마감공사)의 9개 세부공종(가전제품, 도배공사, 도장공사, 미장공사, 석공사, 수장공사, 옥내가구공사, 주방기구공사, 타일공사)을 분류하는 이진분류 모델과 다중 분류 모델을 연구했다. 그 결과, TF-IDF와 Random Forest를 사용한 두가지 분류 모델에서 90%이상의 정확도, 정밀도, 재현율 및 F1점수를 확인했다.

• 드라이브 ㆍ 컨트롤
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• 제10권2호
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• pp.30-36
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• 2013

Tractor is a farm vehicle that is designed to provide a high tractive effort at low speed. It is used for versatile agricultural tasks such as hauling a trailer, tillage, mowing and construction work. Most older tractors use a manual transmission. However, as the intensity of work increases, tractors equipped with automatic transmission become popular due to the work convenience. In order to give the operator a large degree of control in field work, 24 gears with automatic 8-speed and manual 3-speed are arranged in transmission. This paper deals with the gear train that is designed for 8-speed automatic transmission by the engagement of multi-disk clutches. The gear ratio for each speed as well as power transmission mechanism is analyzed through velocity analysis. In addition, constraints of mesh gear ratio are derived by investigating the power flow path in velocity diagram for the given 8-speed gear ratio.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.284-291
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• 2022

Historical data from comparable projects can serve as benchmarking data for an ongoing project's planning during the project scoping phase. As project owners typically store substantial amounts of data generated throughout project life cycles in digitized databases, they can capture appropriate data to support various project planning activities by accessing digital databases. One of the most important work tasks in this process is identifying one or more past projects comparable to a new project. The uniqueness and complexity of construction projects along with unorganized data, impede the reliable identification of comparable past projects. A project scope document provides the preliminary overview of a project in terms of the extent of the project and project requirements. However, narratives and free-formatted descriptions of project scopes are a significant and time-consuming barrier if a human needs to review them and determine similar projects. This study proposes an Artificial Intelligence-driven model for analyzing project scope descriptions and evaluating project similarity using natural language processing (NLP) techniques. The proposed algorithm can intelligently a) extract major work activities from unstructured descriptions held in a database and b) quantify similarities by considering the semantic features of texts representing work activities. The proposed model enhances historical comparable project identification by systematically analyzing project scopes.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.287-288
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• 2023

The inspection work at construction sites is one of the important supervisory tasks, which involves verifying that the building is being constructed by the numerical values specified in the design drawings. The conventional measuring method for inspection involves using tools or equipment such as rulers directly by the personnel at the site, and it is usually confirmed by vision. Therefore, this study proposes an model to measure numerical values on images of the construction site. Through the case study to measure the installation interval of jack supports, the proposed algorithm was verified the effiect and validity. The results of this study suggest that it can support inspection work even in the office, which may have been overlooked by on-site inspectors, and contribute to the digitization of inspection work at construction sites.

• Safety and Health at Work
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• 제6권2호
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• pp.151-155
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• 2015

The study was designed to identify any trends of injury type as it relates to the age and trade of construction workers. The participants for this study included any individual who, while working on a heavy and highway construction project in the Midwestern United States, sustained an injury during the specified time frame of when the data were collected. During this period, 143 injury reports were collected. The four trade/occupation groups with the highest injury rates were laborers, carpenters, iron workers, and operators. Data pertaining to injuries sustained by body part in each age group showed that younger workers generally suffered from finger/hand/wrist injuries due to cuts/lacerations and contusion, whereas older workers had increased sprains/strains injuries to the ankle/foot/toes, knees/lower legs, and multiple body parts caused by falls from a higher level or overexertion. Understanding these trade-related tasks can help present a more accurate depiction of the incident and identify trends and intervention methods to meet the needs of the aging workforce in the industry.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.1603-1608
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• 2008

Powered robotic exoskeletons are currently under development for assisting or supporting human muscle power. Many applications using this system for the purpose of national defense system, medical support, and construction industry are now frequently introduced. In this paper, we proposed the exoskeletal wearable robotics for construction workers. First, we analyzed general work conditions at the construction site and set up target tasks through the datum. Then dominant muscles’ activity which is related with the defined target tasks was checked up. Herein, wearers’ intent signal generation methodology was introduced in order to effectively activate the proposed system. In the final part of this paper, we evaluated the capability and feasibility of the exoskeletal robotics by the electromyography (EMG) signal variance; demonstrated that robotic exoskeletons controlled by muscle activity could be useful way of assisting with construction workers.