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Open AccessJournal ArticleDOI

Indexing Model Based on Vector Normalization Available for Value Engineering in Building Materials

Jongsik Lee
- 13 Oct 2021 - 
- Vol. 11, Iss: 20, pp 9515
TLDR
In this paper, the authors present a model that can index the function, cost and value scores using vector normalization method and apply this model to the case of selecting finishing materials for the office automation floor of a building.
Abstract
Value engineering is a method of selecting the optimum design by evaluating the value of the original design and the alternative design. However, if the function score and the cost score of the evaluation subject are indexed, the range of the function index, the cost index and the value index calculated according to the functional attribute and the cost attribute may vary. The client is confused in the decision-making process of selecting the optimum design because the calculation range of the function, cost and value scores are different according to the evaluation subject. The necessity of indexing the cost score and the function score has been constantly raised, but it has been regarded as a difficult problem. This study presents a model that can index the function, cost and value scores using vector normalization method. Additionally, by applying this study model to the case of selecting finishing materials for the office automation floor of a building, the consistency of the study model was verified.

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Citations
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Journal ArticleDOI

Integrated Value Engineering and Life Cycle Cost Modeling for HVAC System Selection

TL;DR: In this article , the authors developed a systematic model for selecting HVAC systems based on the value engineering (VE) concept, which identified fourteen criteria based on an agreed standard test for objective criteria and a typical evaluation for subjective criteria, using a combination of the AHP, pairwise, function analysis system (FAST), and Monte Carlo techniques.
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A Framework of Selecting Building Flooring Finishing Materials by Using Building Information Modeling (BIM)

TL;DR: In this article , the authors proposed a framework to automate the value engineering (VE) process of selecting building flooring material using a combination of analytical hierarchy process (AHP), pairwise, and function analysis system technique (FAST).
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TL;DR: In this paper , the authors proposed a framework for automating the value engineering process and integrating it with the decision-making process for building material selection using Building Information Modelling (BIM).
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Evaluation Method of English Innovative Thinking Teaching Effect Based on BP Algorithm

TL;DR: In this article , the authors put forward the evaluation method of English innovative thinking teaching effect based on BP algorithm, confirms the evaluation indexes of English Innovative Thinking teaching effect on the basis of clarifying the evaluation principles, and uses conditional information entropy to screen a large number of evaluation indexes.
References
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Book ChapterDOI

Rough Classification with Valued Closeness Relation

TL;DR: The problem being addressed is that of classification support using decision rules learned from examples based on the rough set theory, which is particularly well suited to deal with inconsistencies in the set of examples.
Journal ArticleDOI

Cardinal ranking of alternative actions: extension of the promethee method

TL;DR: In this paper, an extension of the promethee method is presented, which consists in a more detailed investigation of the differences existing among the performances of the actions examined, achieved through the notion of ideal and anti-ideal alternative.
Journal ArticleDOI

Value Engineering and Optimal Building Projects

TL;DR: In this paper, the authors examine how value engineering contributes to the process of obtaining an optimal solution to the design problem for a building project and present a summary of other methods of optimal design such as design for manufacture and assembly (DFMA), concurrent engineering, and total quality management.
Journal ArticleDOI

Multiple-Criteria Evaluation for Value Management in Civil Engineering

TL;DR: A fuzzy set-based approach for representing and synthesizing information about the different kinds of variables involved in the evaluation of a project’s value in the context of construction in civil engineering is presented.
Journal ArticleDOI

Using Group Decision Support System to Support Value Management Workshops

TL;DR: Findings from this research indicate that IVMS is supportive in overcoming the problems and difficulties in VM workshops.
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