Browsing by Author "Guvenc, Ali Bilge"

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    Building a Graphical User Interface for Concrete Production Processes: A Combined Application of Statistical Process Control and Design of Experiment
    (2019) Simsek, Baris; Pakdil, Fatma; Ic, Yusuf Tansel; Guvenc, Ali Bilge; AGQ-5008-2022
    Quality improvement and control in the manufacturing industry is a necessity for responding timely to increase customer needs and sustainability expectations. In order to decrease the variance in design and production functions, graphical user interface was built in this study implementing a combined methodology based on multi-response design of experiment and statistical process control. Graphical user interface based on MATLAB (R) toolbox allows analyzing the sufficiency of measurement system, calculating the capability of concrete production process, optimizing the manufacturing process via TOPSIS-based Taguchi design methodology and comparing the improvement rate of the process capability indices based on current and optimum conditions. After the Gauge R&R analysis, the current system process capability was considered for the C30/37 class (C30) normal weight concrete through process capability indices. In optimal system, process capability ratios, which are the degrees of compliance with the specifications of C30, were determined on the basis of TOPSIS-based Taguchi optimization. Eventually, the actual capability improvement provided through the proposed methodology was considered quite significant.
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    Development of A Graphical User Interface for Determining The Optimal Mixture Parameters of Normal Weight Concretes: A Response Surface Methodology Based Quadratic Programming Approach
    (2014) Simsek, Baris; Ic, Yusuf Tansel; Simsek, Emir H.; Guvenc, Ali Bilge; https://orcid.org/0000-0001-9274-7467; AGE-3003-2022
    The optimization of a normal weight concrete mixture proportions for determination of the desired concrete quality is an important issue for concrete manufacturers and users. In this study, the constrained quadratic programming methodology is based on meta-models developed by using response surface methodology for determining optimal normal weight concrete mixture proportions. We developed a graphical user interface to take the burden of numerous experiments and complex mathematical calculations away from laboratory experts and manufacturers. However, we developed a graphical user interface based on MATLAB (R) toolbox which allows performing optimization of normal weight concrete mixture proportions interactively. The GUI was tested through real case studies and satisfactorily results were obtained. The results showed that developed graphical user interface was functional, effective and flexible in solving the optimization problems of normal weight concrete mixture proportions. (C) 2014 Elsevier B.V. All rights reserved.