Yüksek Kaliteli Şeker Elde Etmek İçin Deney Tasarımı Optimizasyonunun Geliştirilmesi

Year 2021, , 1 - 7, 30.06.2021

Yasemin Ayaz Atalan , Abdulkadir Atalan

https://doi.org/10.52693/jsas.908537

Cited By: 4

Abstract

Bu çalışma, kaliteli şeker üretiminde dikkate alınan bağımlı ve bağımsız değişkenlerin optimum değerlerini hesaplamak için deney tasarımı tekniğini kullanmayı amaçlamıştır. Bu çalışma iki aşamadan oluşmaktadır. İlk olarak bu çalışma için dört farklı bağımsız değişken ve bir bağımlı değişken verisi kullanılmıştır. Tanımlayıcı istatistiksel analizler sonucunda bağımsız faktörlerin düzeyleri ve sınırları belirlenmiştir. Deney iki seviyeli bir sistem olarak düşünerek, 3 tekerrürlü 24 deney içeren tam faktöriyel deney tasarımı yapılmıştır. Elde edilen veriler kullanılarak istatistiksel analiz yapılmış ve bağımsız değişkenlerin bağımlı değişken üzerinde bir etkisinin olup olmadığı belirlenmiştir. Çalışmanın ikinci aşamasında hem bağımlı hem de bağımsız değişkenler için optimum sonuçlar elde etmek amacıyla geliştirilen optimizasyon modeli çalıştırılmıştır. Optimizasyon modelinde elde edilen optimum verilere göre kalite-şeker puanı %95 güven ve tahmin aralığına göre 13,5821 olarak hesaplanırken şekerin renginin kahverengi olduğu belirlenmiştir.

Keywords

Deney Tasarımı, kalite-şeker puanı, girdi değişkenleri, çıktı değişkenleri

Development of Design of Experiment Optimization to Obtain High-Quality Sugar

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 24 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.

Keywords

Design of experiment, quality-sugar score, input variables, output variables

References

• [1] R. A. BALLINGER, A History of Sugar Marketing Through 1974. 1978.
• [2] R. Singh, “Hybrid Membrane Systems – Applications and Case Studies,” in Membrane Technology and Engineering for Water Purification, Elsevier, 2015, pp. 179–281.
• [3] A. L. Alarcón et al., “Chemical characteristics and colorimetric properties of non-centrifugal cane sugar (‘panela’) obtained via different processing technologies,” Food Chem., vol. 340, p. 128183, Mar. 2021, doi: 10.1016/j.foodchem.2020.128183.
• [4] P. Borysiuk, I. Jenczyk-Tolloczko, R. Auriga, and M. Kordzikowski, “Sugar beet pulp as raw material for particleboard production,” Ind. Crops Prod., vol. 141, p. 111829, Dec. 2019, doi: 10.1016/j.indcrop.2019.111829.
• [5] A. Atalan and C. C. Dönmez, “Optimizing experimental simulation design for the emergency departments,” Brazilian J. Oper. Prod. Manag., vol. 17, no. 4, pp. 1–13, 2020, doi: 10.14488/BJOPM.2020.026.
• [6] N. A. Anika, N. Tanzeem, and H. Sen Gupta, “Design of Experiment (DoE): Implementation in Determining Optimum Design Parameters of Portable Workstation,” Engineering, vol. 12, no. 01, pp. 25–32, 2020, doi: 10.4236/eng.2020.121002.
• [7] Y. Ayaz Atalan, M. Tayanç, K. Erkan, and A. Atalan, “Development of Nonlinear Optimization Models for Wind Power Plants Using Box-Behnken Design of Experiment: A Case Study for Turkey,” Sustainability, vol. 12, no. 15, p. 6017, Jul. 2020, doi: 10.3390/su12156017.
• [8] B. Durakovic, “Design of experiments application, concepts, examples: State of the art,” Period. Eng. Nat. Sci., vol. 5, no. 3, Dec. 2017, doi: 10.21533/pen.v5i3.145.
• [9] I. K. Kapdan, F. Kargi, and R. Oztekin, “Effects of operating parameters on acid hydrolysis of ground wheat starch: Maximization of the sugar yield by statistical experiment design,” Starch - Stärke, vol. 63, no. 5, pp. 311–318, May 2011, doi: 10.1002/star.201000158.
• [10] S. Both, J. Eggersglüß, A. Lehnberger, T. Schulz, T. Schulze, and J. Strube, “Optimizing Established Processes like Sugar Extraction from Sugar Beets - Design of Experiments versus Physicochemical Modeling,” Chem. Eng. Technol., vol. 36, no. 12, pp. 2125–2136, Dec. 2013, doi: 10.1002/ceat.201300484.
• [11] K. Hinkelmann, Design and Analysis of Experiments. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012.
• [12] C. ÖRGEV, B. TOPAL, and H. ŞAHİN, “İşgörenlerin Demografik Özelliklerinin Örgütsel İklim Algısına Etkisinin İstatistik Analizi: Süreyya Paşa Göğüs Hastalıkları Hastanesi Örneği,” Eur. J. Sci. Technol., vol. 19, pp. 165–175, Aug. 2020, doi: 10.31590/ejosat.709785.
• [13] O. Kempthorne, The Design and Analysis of Experiments. Wiley, 1952.
• [14] A. Atalan, “THE IMPACTS OF HEALTHCARE RESOURCES ON SERVICES OF EMERGENCY DEPARTMENT: DISCRETE EVENT SIMULATION WITH BOX-BEHNKEN DESIGN,” PONTE Int. Sci. Res. J., vol. 75, no. 6, pp. 12–23, 2019, doi: 10.21506/j.ponte.2019.6.10.
• [15] A. Atalan and C. Donmez, “Employment of Emergency Advanced Nurses of Turkey: A Discrete-Event Simulation Application,” Processes, vol. 7, no. 1, p. 48, Jan. 2019, doi: 10.3390/pr7010048.
• [16] R. P. Niedz and T. J. Evens, “Design of experiments (DOE)—history, concepts, and relevance to in vitro culture,” Vitr. Cell. Dev. Biol. - Plant, vol. 52, no. 6, pp. 547–562, Dec. 2016, doi: 10.1007/s11627-016-9786-1.
• [17] J. Antony, Design of Experiments for Engineers and Scientists. Elsevier, 2003.
• [18] D. C. Montgomery, Design and Analysis of Experiments, 8th ed. Wiley, 2012.
• [19] I. A. Rauf, “Applied Statistical Design of Experiments: Applications in Natural Sciences,” J. Phys. Chem. Biophys., vol. 5, no. 5, p. e129, 2015.
• [20] G. W. Oehlert, A First Course in Design and Analysis of Experiments. Library of Congress Cataloging-in-Publication Data, 2010.
• [21] Escali, “Brown Sugar and White Sugar: What’s the Difference?,” Escali, 2012. https://escali.com/blog/brown-sugar-vs-white-sugar-whats-the-difference/.
• [22] S. Gora, G. Mustafa, J. K. Sahni, J. Ali, and S. Baboota, “Nanosizing of valsartan by high pressure homogenization to produce dissolution enhanced nanosuspension: pharmacokinetics and pharmacodyanamic study,” Drug Deliv., vol. 23, no. 3, pp. 930–940, Mar. 2016, doi: 10.3109/10717544.2014.923066.
• [23] D. C. Montgomery, E. A. Peck, and G. G. Vining, Introduction to Linear Regression Analysis, 5th ed. Wiley, 2012.