A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete

Bariş Şimşek, Yusuf Tansel Iç, Emir H. Şimşek

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57 Citations (Scopus)

Abstract

In general, the optimization problems contain more than one response, which often conflict with each other. This paper proposes the TOPSIS-based Taguchi optimization approach to determine the optimal mixture proportions of the high strength self-compacting concrete (HSSCC) in a ready-mixed concrete plant. The performance criteria are identified for the following: the average convective heat transfer coefficient, the percentage of air content, the slump flow, the T50 time, the water absorption, the compressive strength, the splitting tensile strength, and the production cost. Five factors having three control levels and one factor having two control levels affect these identified performance criteria. The data of the HSSCC quality criteria are obtained by running scenarios that combine factor levels in Taguchi design, while signal to noise (S/N) ratios are calculated for the data. After a decision matrix is generated by the S/N ratios, the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method is then used to transform the multi-response problem into a single-response problem. The anticipated improvement rate is also determined by finding the levels of the factors in order to optimize the system which uses Taguchi's single response optimization methodology.

Original languageEnglish
Pages (from-to)18-32
Number of pages15
JournalChemometrics and Intelligent Laboratory Systems
Volume125
DOIs
Publication statusPublished - Jun 15 2013

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All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Software
  • Computer Science Applications
  • Spectroscopy
  • Process Chemistry and Technology

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