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Value engineering

About: Value engineering is a research topic. Over the lifetime, 1231 publications have been published within this topic receiving 10882 citations. The topic is also known as: VE.


Papers
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Proceedings ArticleDOI
22 Jan 2009
TL;DR: In this article, a methodology for multi agent negotiation in value-based decision on building system selection is presented, which consists of methods and knowledge acquisition, negotiation protocols, and model of the agent negotiation.
Abstract: This paper presents a methodology for multi agent negotiation in value-based decision on building system selection. It consists of methods and knowledge acquisition, negotiation protocols, and model of the agent negotiation. The project management of research including review of research positioning in domain of computer application in value engineering, data necessary and analysis, agent methodology. Results presented are knowledge of building system (roof system) with a model of decision-making using Analytical Hierarchy Process (AHP) based on three-stakeholder preferences and concept of protocol negotiation. This methodology combines value analysis method, decision method and multi agent development method. FAST analysis is a tool for value analysis. AHP is a tool for decision process. Prometheus model has been used for developing a negotiation agent.

18 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the potential of value engineering (VE) as a problem-solving tool for addressing various challenges in the marine construction industry and discussed how to augment the 10-step approach with the VE methodology to achieve more comprehensive and efficient problem solving.
Abstract: This paper examines the potential of value engineering (VE) as a problem-solving tool for addressing various challenges in the marine construction industry. Through a review of large numbers of challenging engineering problems in the marine environment, the authors identified various complications caused by dynamic and uncertain marine environments in both the prebid and postbid stages of construction projects. These unexpected challenges required the project team to identify optimal solutions in a comprehensive and efficient manner. In past construction projects, a 10-step approach was designed and used by the authors to identify solutions for unexpected engineering problems. The approach has three limitations: (1) it is an informal and time-consuming process involving possibly redundant communications and coordination; (2) it is not specific and detailed enough to ensure that the optimal solution is in fact considered and selected in a comprehensive and efficient manner; and (3) it does not integrate standard metrics other than the estimated cost that can be used to quantitatively evaluate the performance of a solution in terms of productivity, quality, safety, and environmental impact. This paper first presents the current 10-step process for solving marine construction problems and limitations of this process. The paper then describes the VE seven-step process and highlights how the VE process and the 10-step approach share the same structure. All steps in the VE process can find correspondences in the 10-step process, whereas VE methodology formalizes the value of a solution and quantitative performance metrics to harvest and evaluate ideas from groups of engineers in a more systematic manner. Based on this shared structure, the paper discusses how to augment the 10-step approach with the VE methodology to achieve more comprehensive and efficient problem solving. Using a case study, the authors explain how such augmentation can effectively integrate the knowledge and experience of groups of engineers with diverse backgrounds in marine construction. Finally, the paper suggests future directions for using VE for marine construction projects.

18 citations

Proceedings ArticleDOI
Qian Shi1, Xin Xie1
30 Oct 2009
TL;DR: This study proposes an approach combining fuzzy set theory and quality function deployment (QFD) method to establish an evaluation model of the green construction program, and value engineering method is introduced to solve the problem of thegreen construction alternatives optimization by the function-cost analysis.
Abstract: With the progress of science and technology, the concept of sustainable development is increasingly prevalent in the contemporary world. Under this circumstance, the green buildings, which play a crucial role in achieving the goal of sustainability, have become more in demand in the construction industry. Although the duration of the construction process is comparatively short in the life cycle of a project, the impact of the process on the surroundings is profound and lasting. In addition, a mass of resources and energy is consumed during the construction phase. Therefore, green construction programs should be applied and evaluated in order to reduce the environmental problems and resources consumption to achieve the goal of green building. Firstly, this study proposes an approach combining fuzzy set theory and quality function deployment (QFD) method to establish an evaluation model of the green construction program. Then value engineering method is introduced to solve the problem of the green construction alternatives optimization by the function-cost analysis. Finally, a case study is given to illustrate the evaluation process of the proposed methods. Keywords-green construction; quality function deployment (QFD); fuzzy set; value engineering

18 citations

Proceedings ArticleDOI
11 Nov 2003
TL;DR: This paper argues that the residual value can be predicted accurately based on publicly accessible data from equipment auctions and publications by manufacturers and their distributors based on multi-linear regression analysis.
Abstract: Heavy construction equipment is routinely used on construction projects that entail earthmoving operations. Owning and operating these machines may comprise a significant portion of the project costs. An important element of the owning costs is the residual value. However, the nature of the residual value of construction equipment is largely unknown. Ongoing research at Virginia Tech examines the residual value of different types of construction equipment to provide a better approach than the rules of thumb currently used by equipment managers. This paper argues that the residual value can be predicted accurately based on publicly accessible data from equipment auctions and publications by manufacturers and their distributors. Related research in agriculture and forestry is reviewed. Data collection and preparation and results from the multi-linear regression analysis are described. Statistical measures of the goodness-of-fit for different possible functional forms of the regression model are given and a sample calculation is presented.

18 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202324
202245
202130
202050
201944
201847