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

• Published in: Applied sciences Vol. 11; no. 20; p. 9515
• Main Author: Lee, Jongsik
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2021
• Subjects: building materials; Construction; Cost control; Decision making; Decision support systems; Design; Fuzzy sets; indexing model; Methods; multi-objective decision-making; Value engineering
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app11209515

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.