Rough-AHP and MOORA-based Taguchi Optimization for Mixture Proportion of Building Concrete


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HİMMETOĞLU S., KIZILKAYA AYDOĞAN E., Ozcan F., Karahan O., ATİŞ C. D.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, 2021 (ESCI) identifier

  • Publication Type: Article / Article
  • Publication Date: 2021
  • Doi Number: 10.2339/politeknik.1018428
  • Journal Name: JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
  • Journal Indexes: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Keywords: Taguchi metodu, deney tasarimi, kaba klime teorisi, AHP, MOORA, STRENGTH, POLYMER, DESIGN
  • Kayseri University Affiliated: Yes

Abstract

In the construction industry, materials that are used for producing construction concrete and their mixture proportions are an important decision-making and optimization problem for concrete manufacturers. Amounts (mixture proportions) of the materials, which are used in order to obtain a mixture of high strength and functional concrete, can positively or negatively affect performance criteria which are individually determined for each customer. Furthermore, the effect and significance of each performance criterion on the concrete may differ from each other. This paper proposes the Rough-AHP approach to determine the significance levels and weights of the performance criteria decided according to the customer demands and the MOORA-based Taguchi approach to calculate the optimal mixture proportion of the concrete for the customer demand. It is aimed to determine the best design of the experiment to minimize the experiment duration and cost rather than to perform all experimental designs.