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Journals / Politeknik Dergisi / 2023 / Cilt: 26 Sayı: 4

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

Bina Betonunun Karışım Oranı için Kaba-AHP ve MOORA Tabanlı Taguchi Optimizasyonu

Salih Himmetoğlu(ERCIYES UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF INDUSTRIAL ENGINEERING)0000-0001-6081-3650
Emel Kızılkaya Aydogan(ERCIYES UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF INDUSTRIAL ENGINEERING)0000-0003-0927-6698
Fatih Özcan(MERSIN UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF CIVIL ENGINEERING)0000-0003-3391-9411
Okan Karahan(ERCIYES UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF CIVIL ENGINEERING)0000-0001-7970-1982
Cengiz Atiş(ERCIYES UNIVERSITY, FACULTY OF ENGINEERING, DEPARTMENT OF CIVIL ENGINEERING)0000-0003-3459-329X
Pages
1307–1317
Publication Date
2023-12-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
📊
Key Findings & Data: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.
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Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Taguchi metodu · deney tasarımı · kaba küme teorisi

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.

Özet

İnşaat sektöründe inşaat betonu üretiminde kullanılan malzemeler ve bunların karışım oranları beton üreticileri için önemli bir karar verme ve optimizasyon problemidir. Yüksek dayanımlı ve fonksiyonel beton karışımı elde etmek için kullanılan malzemelerin miktarları (karışım oranları) her müşteri için ayrı ayrı belirlenen performans kriterlerini olumlu veya olumsuz etkileyebilir. Ayrıca her bir performans kriterinin beton üzerindeki etkisi ve önemi birbirinden farklı olabilir. Bu makale, müşteri taleplerine göre karar verilen performans kriterlerinin önem düzeylerini ve ağırlıklarını belirlemek için Kaba-AHP yaklaşımını ve müşteri talebi için betonun optimum karışım oranını hesaplamak için MOORA tabanlı Taguchi yaklaşımını önermektedir. Tüm deneysel tasarımların yapılmasından ziyade deney süresini ve maliyetini en aza indirecek deney tasarımının en iyi şekilde belirlenmesi amaçlanmaktadır.

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Cite This Article

Himmetoğlu, S., Aydogan, E. K., Özcan, F., Karahan, O., Atiş, C. (2023). Rough-AHP and MOORA-based Taguchi Optimization for Mixture Proportion of Building Concrete. Politeknik Dergisi, Cilt: 26 Sayı: 4, 1307–1317. https://doi.org/10.2339/politeknik.1018428

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