• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.74-75
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• 2018

VE, rather than just cost reduction tool, have established as a value enhancement tool of the construction industry. Value improvement types of VE proposal can show the effect of VE activities, also acts as an important element in which the owner adopts a proposal and confirms the results of the VE activities. However, problems in the process of quantification for VE proposal and ambiguous standards in classification of value improvement types is need to be supplemented. Accordingly, This study suggests the plan for establishing of numerical range criteria for classification of value improvement types of VE proposal. Implementing this plan will be able to improve the reliability and availability for VE activities.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.05a
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• pp.163-164
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• 2023

The technical proposal bidding system emphasizes the evaluation of the construction company's technical capabilities, with the aim of improving the quality and cost-effectiveness of the construction. However, in the VE analysis and proposal process for technical proposal bidding, the ideas are often reused from similar past construction projects, and the application of new construction technologies/methods is often lacking. Therefore, this study proposes a methodology for managing VE proposal information by integrating it into a BIM model using parametric modeling. This research developed database based on the existing VE proposals and new construction technology/method information from the Korea Institute of Civil Engineering and Building Technology. And by using parametric modeling, the proposed method integrate the VE database with BIM model. The methodology proposed in this study is expected to improve the reliability and effectiveness of VE-related idea proposals in technical proposal bidding.

• Journal of Advanced Engineering and Technology
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• v.11 no.4
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• pp.287-294
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• 2018

Since its introduction in Korea, design VE has widely been used as a means to enhance values in the construction industry. However, a greater emphasis is still placed on cost reduction in approach attitudes and performance evaluations on the implementation of design VE. In this regard, this study presented a performance evaluation method for cost, function, and value of VE proposals. Numerical criteria on the increase and decrease of cost and function that can classify the value enhancement type of VE proposals were proposed based on the performance evaluation method. It is expected that the use of numerical criteria for the type classification of VE proposal, and cost and performance evaluation method proposed in this study will make it possible to conduct a clear and more intuitive evaluation of VE proposal. However, it is appropriate to use the numerical criteria as a guideline to apply the new performance evaluation method for VE proposals. Therefore, it is necessary to conduct a statistical analysis with a wider range of users after the repeated application of the findings of this study, and thus to carry out research for presenting the numerical criteria for various types of users.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.6
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• pp.1377-1385
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• 2015

Construction industry that was the core driving force of Korean economic growth is now being classified as an industry with the largest environmental load emission. Although various efforts were made accordingly to realize eco-friendliness, its effects is insufficient currently. Based on the understanding that eco effect of construction industry would be significant if Eco VE is applicable in the initial project stage, NIA model for understanding the eco VE decision of project owner was developed with simulations in this paper. Based on the proposal report of a private project to develop the Gyeongbuk Northern Region Environmental Energy Town, 20 questions on eco VE decision were used through simulations. The result showed 50% eco-friendly decision. The result of this study can be used to provide decision-making data for eco design in the initial stage of construction by utilizing NIA upon conducting survey research to deduce eco VE decision.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.129-132
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• 2012

Value Engineering(VE) process is going to make a series of improvements for the effective construction project management or optimal proposal to improve quality, performance improvement, cost reduction and customer satisfaction. For making the quality model based on better than the architecture that is required in the VE, such a project promoting creative plan, functionality and constructability reflecting the materials and improved construction methods and building life cycle for reviewing the smooth progress of the construction projects may be necessary for management techniques. This study is to establish a management plan in the educational facilities construction process through education institution's recent orders completed by VE case study.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1195-1200
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• 2009

Two important concepts in VE are "function" and "cost." Cost can be expressed quantitatively. Unlike cost, the function can only be expressed qualitatively. Thus, to accurately evaluate the performance in VE analysis, it is required that the functional aspect should be considered a qualitative one. This study suggests a procedure of function oriented evaluation which can evaluate function enhancement of a VE proposal more logically and objectively. To conduct this study, problems were induced via case analysis, and solutions were found. In addition, the existing simple evaluation procedures were corrected, and a function enhancement evaluation procedure via function classification was suggested. For function classification, the use of the concepts, which were "intended function" and "additionally obtained function," was suggested. Function oriented evaluation procedure to VE proposals which is suggested in this study is expected to be a great help in treating valuable functions through VE job plan.

• Construction Engineering and Management
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• v.19 no.2
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• pp.3-8
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• 2018

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.67-73
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• 2010

The results of VE (Value Engineering) analyses are highly feasible proposals that are produced by utilizing the experience and knowledge of professionals from a variety of fields. As such, the results of past similar projects can be useful in new projects. On this basis, it is vital to accumulate the historical data of the results on VE analyses performed at every stage, which are functions, ideas, and proposals. In this research, a data formational system for collecting this historic data was established by categorizing 'Item,' 'Function,' 'Idea,' and 'Proposal' according to VE process, and the data retrieval and the adjusting process were proposed. If the historic data of these are accumulated using the suggested method, it is expected to be useful at the stage of VE process.

• Journal of the Korean Institute of Rural Architecture
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• v.7 no.2
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• pp.1-8
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• 2005

In a rural house, it is necessary to make a quality model that choose effective design value engineering. So more effective models, this study examine requests of a rural house project designers, constructors, and tenants. Checked items are classified into four groups that working area, dwelling area, constructive and environmental parts. Each groups are also divided into detailed items for basic decisional elements. When basis points sets 10, it can be divided that working area parts 3pts, dwelling area parts 2.5pts, constructive parts 3pts and environmental parts 1.5pts. In this results, we can make a proposal of evaluation on additive value quality model for a rural house in design value engineering.

• Journal of Information Technology Applications and Management
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• v.14 no.1
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• pp.117-135
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• 2007

Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.