Yüksek Kaliteli Şeker Elde Etmek İçin Deney Tasarımı Optimizasyonunun Geliştirilmesi

Abstract

This study aimed to use the design of experiment technique to calculate the optimum values of dependent and independent variables considered in the production of quality sugar. This study consists of two stages. Firstly, four different independent variables and one dependent variable data were used for this study. The levels and limits of independent factors were determined as a result of descriptive statistical analysis. They were considered the experiment as a two-level system; a full-factorial design of experiment, including 2 4 experiments with three replications, was made. Statistical analysis was performed using the data obtained, and it was determined whether the independent variables had an effect on the dependent variable. In the second stage of the study, the optimization model developed in order to obtain optimum results for both dependent and independent variables was run. According to the optimum data obtained in the optimization model, the quality-sugar score was calculated as 13.5821 according to 95% confidence and prediction interval, while the color of sugar was determined to be brown.

Pb (II) Adsorption over Activated Carbon Prepared from Cedrus Deodara Bark by Na2CO3 Activation: Optimal Design for Modelling and Process Optimization

“…Design of experiment (DOE) is one of the most popular and promising technique widely used in various scientific studies that involve experimentations. It offers an effective and precise method for examining the impact of variation in independent variables and their mutual interaction on the dependent variable [74,75] . The optimal designs are often utilized for analyzing various statistical models for estimating the parameters with minimum variance and maximum information.…”

Üretim Tesislerinde İstatistiksel Optimizasyon ile Maliyet Tahmini

“…Ürün maliyetini minimize ve satış miktarını maksimize etmek, bir şirketin rekabet avantajını artırması, kâr marjını iyileştirmesi ve sürdürülebilirliği sağlaması açısından kritik bir öneme sahiptir [23]. İstatistiksel yöntemler, şirketlerin üretim süreçlerini daha iyi anlamalarına ve yönetmelerine yardımcı olabilmektedir [24], [25]. Veri analizi ve istatistiksel modeller kullanılarak, üretim süreçlerindeki değişkenler ve ilişkiler daha iyi anlaşılmaktadır [26].…”

Experimentally designed chemometric models for the assay of toxic adulterants in turmeric powder

“…The DoE technique has been used extensively in several fields, such as chemistry, 24–29 agriculture, 30,31 engineering, 32,33 industry 34,35 (in particular food industry 36–38 ), and even in non-scientific aspects, such as predicting sports results, 39 especially soccer and basketball. DoE can be used in other disciplines, such as energy 40–44 and sensors optimization.…”