You are here

Home » Content

PASTÖRİZE LİKİT YUMURTA ÜRETİM PLANI OPTİMİZASYONU

OPTIMIZATION FOR PRODUCTION PLANNING OF LIQUID EGG

Journal Name:

  • Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi

Publication Year:

  • 2014

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Production planning becomes a difficult optimisation problem when the relationship between material, product and machine constraints is complicated. In this study, liquid egg production plan was optimized under specific production constraints. As a solution to the problem, a “Generalized Reduced Gradient”-based production planning model is developed, which considers the constraints encountered in real-life practice. The results yielded in the study in accordance with the objective of maximizing the total production under the constraints of capacity, breaking ratio, brix value, machine utilization ratio, liquid ratio and required product, are presented.
Abstract (Original Language): 
Üretim planlama; hammadde, ürün ve makine kısıtları arasındaki ilişkiler karmaşıklaştığında zor bir optimizasyon problemi haline gelmektedir. Çalışma kapsamında, belirli üretim kısıtları altında likit yumurta üretim planı optimize edilmektedir. Problemin çözümünde, uygulamada karşılaşılan kısıtların göz önüne alındığı “Genelleştirilmiş İndirgenmiş Gradyenler” temelli bir üretim planı modeli geliştirilmiştir. Geliştirilen model kapsamında ortaya çıkan üretim planı, ürün karmasının yapısını ve makinelerdeki yumurta kırım planlarını içermektedir. Kapasite, kırım oranı, briks değeri, makine kullanım oranı, sıvı oranı ve ihtiyaç duyulan ürün kısıtları altında toplam üretim miktarının maksimize edilmesi hedefi doğrultusunda elde edilen sonuçlar çalışmada verilmektedir.
FULL TEXT (PDF): 
PDF icon arastirmax-pastorize-likit-yumurta-uretim-plani-optimizasyonu.pdf

REFERENCES

References: 

Bazaraa, M.S., Sherali, H.D. ve Shetty, C.M. (2006). Nonlinear
Programming: Theory and Algorithms. Hoboken, NJ: John Wiley &
Sons.
Boone, L.E. ve Kurtz, D.L. (2010). Contemporary Business. Hoboken, NJ:
John Wiley & Sons.
Edgar, T.F. ve Himmelblau, D.M. (1989). Optimization of Chemical
Process. New York: McGraw-Hill.
Fahim, S.R. ve Helmy, W. (2012). Optimal Study of Distributed
Generation Impact on Electrical Distribution Networks Using GA
and Generalized Reduced Gradient. International Conference on
Engineering and Technology (ICET 2012), 10-11 Ekim 2012.
Faluyi, F. ve Arum, C. (2012). Design Optimization of Plate Girder Using
Generalized Reduced Gradient and Constrained Artificial Bee
Colony Algorithms. International Journal of Emerging Technology
and Advanced Engineering, 2(7), 304-312.
Kao, C. (1998). Performance of Several Nonlinear Programming Software
Packages on Microcomputers. Computers & Operations Research,
25(10), 807-816.
Kimball, D. (1991). Citrus Processing: Quality Control and Technology.
New York: Springer Science.
Lasdon, L.S. ve Smith, S. (1992). Solving Sparse Nonlinear Programs
Using GRG. ORSA Journal on Computing, 4(1), 2-15.
Lasdon L.S., Waren A., Jain A. ve Ratner, M. (1978). Design and Testing
of a Generalized Reduced Gradient Code for Nonlinear
Programming. ACM Transactions on Mathematical Software, 4(1),
34-50.
Murat Kocamaz ve Ural Gökay Çiçekli
12
Lee, H.T., Chen, S.H. ve Kang, H.Y. (2004). A Study of Generalized
Reduced Gradient Method with Different Search Directions. Journal
of Measurement Management, 1(1), 25-38.
Mouatasim, A.E. (2010). Two-Phase Generalized Reduced Gradient
Method for Constrained Global Optimization. Journal of Applied
Mathematics, Article ID: 976529.
Prochaska, J.F, Carey, J.B. ve Shafer, J. (1996). The Effect of L-lysine
Intake on Egg Component Yield and Composition in Laying Hens.
Poultry Science, 75(10), 1268-77.
Rardin, R.L. (1998). Optimization in Operations Research, New Jersey:
Prentice Hall.
Sharma, R. ve Glemmestad, B. (2013). On Generalized Reduced Gradient
Method with Multi-start and Self-optimizing Control Structure for
Gas Lift Allocation Optimization. Journal of Process Control, 23,
1129-1140.
Su, C.T. ve Lii, G.R. (1995). Reliability Optimization Design of Distribution
Systems via Multi-level Hierarchical Procedures and Generalized
Reduced Gradient Method, Energy Management and Power
Delivery. Proceedings of EMPD '95 International Conference (21-23
Nov 1995), 180-185.
Sun, W. ve Yuan, Y. (2006). Optimization Theory and Methods: Nonlinear
Programming. New York: Springer.
Ulucan, A. (2004). Yöneylem Araştırması: İşletmecilik Uygulamalı
Bilgisayar Destekli Modelleme. Ankara: Siyasal Kitabevi.
Wolfe, P. (1963). Methods of Nonlinear Programming, Recent Advances
in Mathematical Programming. New York: Mcgraw-Hill.
Yeniay, Ö. (2005). A Comparative Study on Optimization Methods for the
Constrained Nonlinear Programming Problems. Mathematical
Problems in Engineering, 2005(2), 165-173.

Thank you for copying data from http://www.arastirmax.com