• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1100-1106
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• 2009

General contractors' overhead costs are increasing relative to direct costs. However, it is difficult to apply the traditional activity-based costing directly to the construction site overhead costing because the resource consumption rate per each activity is varied depending on the attributes of activities. The research develops a methodology of hybrid cost allocation system when resources are assigned to cost objects unlike the traditional activity-based costing. The study also develops a database program and demonstrates how it can be applied to the construction projects using a case study.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2012년도 춘계 학술논문 발표대회
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• pp.119-120
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• 2012

The management for materials and inventory is one of the factors which are considered the most for profits of a business in almost all industrial fields. Resource procurement which occupies more than 40% of an overall construction cost has a strong relationship with profits of a business but it is regarded as a work for a manager rather than for a technician. It makes the importance of resource procurement relatively low and slows down the development of workings. As the construction project becomes more larger and complicated, effective management for materials are directly affecting the profits of a business. Therefore, this research works on finding an economical managing method for materials according to a characteristic of construction project based on accurately forecasted BIM data. Finding a reorder point by using BIM data which contains an accurate data for schedule and material enables a better management for materials and provides more accurate data on matters which were used to be determined by an intuition of a manager.

• 한국건설관리학회논문집
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• 제13권5호
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• pp.135-143
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• 2012

초고층 건축물은 일반적 건축물에 비해, 구조, 환경적 분야 뿐 아니라 시공 분야에서도 골조공사와 마감공사의 시공방법, 재료, 공사관리 등에서 차이점이 있다. 특히 초고층 건축물 시공에서 요구되는 다양한 관리기법 중 양중계획 및 관리는 핵심적인 분야이며, 건설공사에 필요한 인원 및 자재와 같은 자원을 리프트카와 같은 양중기계장비를 이용하여 효율적으로 수직이동하여야 한다. 그러나 리프트카의 경우 초기 수립된 계획과 실제 운영에 차이가 발생하는 경우가 많고 이러한 비효율성으로 인해 문제가 발생하는 경우가 많다. 본 연구에서는 양중작업에 사용되는 리프트카를 대상으로 건축마감공사의 자원물량에 근거한 양중부하 산정 방법 및 예측 모델을 제시하고자 한다. 그 결과 리프트카 운행시간 및 사이클타임을 계산하여 총 양중장비 가동시간 및 양중가능 물량을 산출할 수 있을 것이다. 이를 양중장비조합을 위한 의사결정 지원 모델 구축을 위한 연구로 발전시켜 나갈 것이다.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.241-248
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• 2011

Past theories on construction price formation have been shown to be inadequate in terms of their ability to represent real-life industry practice and price formation predictability. In this paper, we develop a theoretical framework on construction price formation that integrates four theories within the domains of marketing, learning, resource management and economics. These are: (i) marketing pricing theory; (ii) experiential and organisational learning theory; (iii) resourced based theory and (iv) microeconomic theory. Utilising pricing theory from marketing, a foundation is able to be created for the procedure of construction price formation, namely: (i) identifying the objectives; (ii) assessing the tendering environment; and (iii) formation of the price. However, understanding contractors' decision making process in tender pricing as such can be attributed to theories of experiential learning and consequently organisational learning. It is argued that contractors do learn from past experience and history and are able to adapt to different market conditions. In formation of the price, neoclassical microeconomics is able to provide additional insight in terms of the supply and demand model and consideration of the market conditions. Interrelated with the microeconomic concept of scarcity, we appreciate that contractors do have limited resources that affect their tender pricing decisions and resource based theory is used to substantiate this. Integrating the various theories as a unity allows the broader reality to be visualised and add to our theoretical understanding of construction price formation.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.687-688
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• 2015

The objective of identifying the cause of inconsistency in determining priority of educational facility maintenance, any related factors were thoroughly identified and tested, to see if it has any effect on decision-making process in resource allocation for educational facilities. On the assumption that 'the more there are to be repaired/maintained and deferred, the higher the relevant cost will be, this will lead to a significant social loss. Accordingly, this study established a framework of determining resource allocation priority based on deferred maintenance and its related expenses. For doing so, it was required to determine relative ranking in terms of resource allocation within a pre-assigned school district, in consideration of the criticality of each deferred maintenance attribute/variable.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.881-885
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• 2005

Scheduling repetitive projects under limitations on the amounts of available resources (labor and equipment) has been an active subject because of its practical relevance. Traditionally, the limitation is specified as a deterministic (fixed) number, such as 1000 labor-hours. The limitation, however, is often exposed to uncertainty and variability, especially when the project is lengthy. This paper presents a stochastic optimization model to treat the situations where the limitations of resources are expressed as probability functions in lieu of deterministic numbers. The proposed model transfers each deterministic resource constraint into a corresponding stochastic one and then solves the problem by the use of a chance-constrained programming technique. The solution is validated by comparison with simulation results to show that it can satisfy the resource constraints with a probability beyond the desired confidence level.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.239-248
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• 2007

In the highly competitive construction industry, a slight inaccuracy of estimation can easily cause the loss of a project. Erroneous experience-based cost estimates or allocations of on-site supervisory manpower often offset the profit gained from the project and may jeopardize the management processes. To counter these types of problems, we develop a model using mathematical analysis and case-based reasoning to automate the allocation of on-site supervisory manpower and estimate construction site costs. The method is founded upon laborious data collection processes and analysis by matching statistical assumptions, and is applicable to construction projects. In the modeling the costs and allocation of on-site supervisory manpower are quantified for both owners and contractors before initiating or bidding on the projects. The findings confirm that the degree of variation of the model predictions has an accuracy rate at 88.47%. Single-site construction projects can be accurately predicted and the assignment of supervisory manpower feasibly automated.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.575-586
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• 2005

This paper presents an approach to quantifying the costs and benefits of integrating ERP systems with project management systems, including potential time and cost savings. To properly identify the costs and the benefits, the paper shows the relevant construction information flows and the desired milestones in the integration process. The proposed benefit analysis model should allow construction firms considering the integration of their ERP systems with legacy systems or commercial project management software make informed decisions in regard to the existing alternatives in the early stages of decision making.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1426-1432
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• 2009

Green growth is summarized as the national growth strategies to enhance the quality of life as a whole by converting not only the lifestyle but the economic and industrial structures into the low carbon and eco-friendly environments with the green growth industries with low carbon as the momentum for new growth, based on green technologies including renewable energy technologies, energy and resource efficient technologies, converging technologies related to technologies to reduce the environmental pollution. Roles of the construction industry along with other industries are very important in securing justifications for the cooperation between our government and industries for challenges to this green growth as well. The national effects of economy are very large from leading the construction industry to the green construction from the national level. Accordingly, this study suggested responsive plans for both government and companies for the activation of green construction by selecting 15 frontier green construction products and analyzing them by the type of strategy in Korea, as well as analyzing recent trends of overseas green construction.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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• pp.20-21
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• 2014

Recently, activation of related construction projects due to the large traditional gas resource development of frozen soil region of Russia are expected. It is necessary to provide a plan that can be utilized and collectively managed the occurrence data in the engineering & construction stage for continued contracts of the pipe construction. Therefore, this research is aimed to provide a management plan of occurrence data for efficient management in engineering & construction stage of pipeline business in frozen soil region. The data of the engineering & construction(related pipe construction projects) can be accumulated each version and multiply managed. Furthermore, I will be expected to be the foundation of the systematic management of the classifying based on metadata and the optimizing operations using big data method.