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

Creative Commons License

Himmetoğlu S., Kızılkaya Aydoğan E., Ozcan F., Karahan O., Atiş C. D.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, cilt.26, ss.1307-1317, 2023 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26
  • Basım Tarihi: 2023
  • Doi Numarası: 10.2339/politeknik.1018428
  • Dergi Adı: JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1307-1317
  • Anahtar Kelimeler: Taguchi metodu, deney tasarimi, kaba klime teorisi, AHP, MOORA
  • Erciyes Üniversitesi Adresli: Evet

Özet

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.