• 한국건설관리학회논문집
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• 제6권5호
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• pp.89-101
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• 2005

건축공사의 프로젝트 초기단계에 있어서 관련조직 간의 정보전달은 프로젝트의 수행방법을 결정하는데 중요한 영향을 미친다. 그러나 실제로는 체계적인 분석방법 보다는 현장관리자의 경험에 의존하여 중요한 의사결정이 수행되어 왔다. 예를 들면, 건축공사 프로젝트에서 공법선택은 설계자의 경험에 의존한 의사결정으로 진행되어 왔다. 이로 인해 시공단계에서 불필요한 공법변경사례가 발생하여 공기지 연 및 공사비 상승을 초래하였다. 주된 원인은 건축공사 프로젝트의 특성을 반영한 합리적인 의사결정 프로세스에 관한 검토가 체계적으로 이루어지지 않았기 때문이다. 따라서 합리적으로 공법을 선택할 수 있는 지원도구뿐만 아니라 생산설계가 필요하다. 본 연구는 프로젝트 초기단계에서 다양한 영향요인과 연계하여 체계적인 생산설계과정과 의사결정모델을 제안하는 것을 목적으로 하였다. 이러한 관점에서 연구의 목적을 달성하기 위해 다음과 같은 수순으로 연구를 진행하였다. 1)생산설계에 관한 선행이론을 분석하였으며, 2)구체공사에 있어서 프로젝트 제약조건의 분석을 통해 최적의 공법을 선택하는 과정에 대해서 고찰하였다. 3)생산설계의 문제점을 구체화하기 위해 사례연구내용을 분석하였다. 4)사례연구 및 전문가 면담의 결과를 분석함으로써 생산설계를 지원하기 위한 협력체 모델을 제안하였다. 제안된 모델은 유사한 프로젝트에 적용할 수 있도록 체계적으로 축적된 자료로 관리되고 관련조직간 정보전달을 개선할 수 있는 유효한 도구로서 활용될 수 있을 것으로 예상되어진다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2008년도 추계 학술논문 발표대회
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• pp.205-211
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• 2008

Recently, selects method of waterproofing where is suitable with method and material physical properties, construction technique, Productive technique and specifications and maintenance techniques evaluation for the same evaluation method is coming to be presented. Respects the application which select system is substantial objectively reflects a weight to evaluation item the research for is necessary. This research the evaluation which in order is effective and the decision-making to be possible about technically countermeasures for a quality security from waterproofing materials, method selection processes, clearly responsible dividing of construction and maintenance techniques. A sets weight of evaluation item for right select system, it stratify the causes which affect in priority based on AHP.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 추계학술대회 및 정기총회
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• pp.191-194
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• 2002

In this paper, a new GA-based methodology with information granules is suggested for construction of the fuzzy classifier. We deal with the selection of the fuzzy region as well as two major classification problems-the feature selection and the pattern classification. The proposed method consists of three steps: the selection of the fuzzy region, the construction of the fuzzy sets, and the tuning of the fuzzy rules. The genetic algorithms (GAs) are applied to the development of the information granules so as to decide the satisfactory fuzzy regions. Finally, the GAs are also applied to the tuning procedure of the fuzzy rules in terms of the management of the misclassified data (e.g., data with the strange pattern or on the boundaries of the classes). To show the effectiveness of the proposed method, an example-the classification of the Iris data, is provided.

• Journal of Construction Engineering and Project Management
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• 제5권2호
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• pp.35-43
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• 2015

Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.341-342
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• 2018

Waterproofing materials and construction methods have been developed and applied to various construction sites since the past. However, there many cases where the waterproofing performance is not satisfactory, leading to continuous water leakage. It has been observed that a key reason for this is because waterproofing method and material selection is not optimized in terms of the appropriate application area and environmental degradation factors. This paper proposes that future selection of waterproofing methods should consider the following evaluation criteria; 1) waterproof performance evaluation according to site conditions, 2) evaluation of construction method, 3) manufacturing and maintenance of waterproofing systems.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 추계 학술논문 발표대회
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• pp.235-236
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• 2019

Waterproofing materials and construction methods have been developed and applied to various construction sites since the past. However, there many cases where the waterproofing performance is not satisfactory, leading to continuous water leakage. It has been observed that a key reason for this is because waterproofing method and material selection is not optimized in terms of the appropriate application area and environmental degradation factors. This paper proposes that future selection of waterproofing methods should consider the following evaluation criteria; 1) waterproof performance evaluation according to site conditions, 2) evaluation of construction method, 3) manufacturing and maintenance of waterproofing systems.

• 경영과학
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• 제17권2호
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• pp.135-150
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• 2000

Korean construction companies are recently facing stiff competition in free market economy, and construction projects tend to be complex and large-scale. Such an environment demands that construction companies ensure specialized subcontractors. This paper suggested a subcontractor evaluation model for selection of competent subcontractors which are equipped with operational, technical and productive ability. For designing a subcontractor model, AHP method as a group decision-marking method is applied in assigning weighting indices of evaluation elements. To verify this method, actual data collected in one of construction companies are analysed statistically.

• Journal of Construction Engineering and Project Management
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• 제6권3호
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• pp.1-7
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• 2016

The purpose of this paper is to develop a model for selecting the best contractor in the Gaza Strip using the Artificial Neural Network (ANN). The contractor's selection methods and criteria were identified using a field survey. Fifty four engineers were asked to fill a questionnaire that covers factors related to the selection criteria of contractors practiced in Gaza Strip. The results shows that the dominant part of respondents (91%) confirmed that the current awarding method "the lowest bid price" is considered one of the major problems of the construction sector, "award the bid to the highest weight after combination of the technical and financial scores" represented 50% of the respondents. The criteria weights were determined based on Relative Importance Index (RII. Ninety-one tenders(13 projects) were used to train and test the ANN model after re-evaluating the contractors depend on the weights of factors to select the best contractor who achieves the highest score. Neurosolution software was used to train the models. The results of the trained models indicated that neural network reasonably succeeded in selection the best contractor with 95.96% accuracy. The performed sensitivity analysis showed that the profitability and capital of company are the most influential parameters in selection contractors. This model gives chance to the owner to be more accurate in selecting the most appropriate contractor.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2006년도 춘계학술논문 발표대회 제6권1호
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• pp.133-136
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• 2006

The top-down construction method is an excavation and substructure construction method by excavating earth and building slabs from the ground level to the bottom of a building. The top-down method can be categorized into several types by its process and other technical details. Some of commonly used top-down methods in Korea today are S.O.G., N.S.T.D., and S.P.S. Among these, one method is chosen depending on construction field conditions, cost, construction time and so on. This study explores several factors that may affect the selection of a top-down method. This paper reports preliminary survey results with 54 top-down construction experts and comparison results of 5 top-down construction sites.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2019년도 추계 학술논문 발표대회
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• pp.92-93
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• 2019

Estimates based on BIM makes it possible to perform from quantity take-off to construction cost estimates by using model, which is made in the phase of design and construction. As the BIM models are made up of the units of element, there an advantage of the automative quantity take-off, if the correction or change of element occurs. Work items, not included in the elements of the BIM model, are excepted from bill of quantity. Level of detail(LoD) of the BIM model can be improved for detailed estimates, but an excessive modeling for estimates is inefficient. This study presents the measure for selection and quantity take-off of work items, those are not expressed in the BIM model. The proposed method avoids the creation of excessive BIM Models and enables quantity take-off in conjunction with the element.