Indexing Model Based on Vector Normalization Available for Value Engineering in Building Materials
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Value Engineering and Management · Evaluation Methods in Various Fields · Quality Function Deployment in Product Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Architectural Engineering, Songwon University, Gwangju 61756, Korea
References (17)
Show source-provided references
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