BİR DİŞLİ FABRİKASINDA TAMSAYILI HEDEF PROGRAMLAMA UYGULAMA DENEMESİ

Yıl 2005, Sayı: 13, - , 20.06.2015

Gülnur Keçek

Öz

The problems in the organizations are compLex and they contains multiple and conflicting objectives today. In this paper first, integer goal programming and branch and bound technique are explained. An integer programming model is formulated for the gear firm in line with the constraints and goals in effect. The model was solved by QS and WINQSB softwares. A production program to aid the decision makers is prepared

Anahtar Kelimeler

Multiple Objective Decision Making, Integer goal programming, branch and bound technique, preference

BİR DİŞLİ FABRİKASINDA TAMSAYILI HEDEF PROGRAMLAMA UYGULAMA DENEMESİ

Öz

Günümüzde işletmelerde karşılaşılan problemler karmaşık olup; çok ve genellikle çelişen amaçlar içerirler. Bu çalışmada, öncelikle tamsayılı hedef programlama ve dal ve sınır tekniği açıklanmaya çalışılmıştır. Daha sonra, bir dişli işletmesinde belirlenen kısıtlayıcılar ve hedefler doğrultusunda bir tamsayılı hedef programlama modeli geliştirilmiştir. Model QS ve WINQSB yazılımları ile çözülmüştür. Karar vericiye yardımcı olacak bir üretim programı oluşturulmaya çalışılmıştır

Anahtar Kelimeler

Çok Amaçlı Karar Verme, Tamsayılı hedef programlama, dal ve sınır tekniği, tercih

Kaynakça

• Arthur, J.L , Ravindran, A.(1980).”Branch and Bound Algorithm With
• Constraint Partitioning For Integer Goal Programming Problems”, European Journal of Operational Research, v4,n6,Jun, 421-425. Ballestero E., Romero, C.(1996).”Dynamic Choices in Economics: A
• Compromise Approach”, Multi-Objective Programming and Goal Programming:theories and applications, Springer-Verlag, Germany, 11-24. Belton V., Stewart T.J.(2002). Multiple Criteria Decision Analysis: An
• Integrated Approach, Kluwer Academic Publishers,USA, 209-232. Caballero R., Ruiz F., Steuer R.E.(1997). Advances in Multiple Objective and Goal Programming:Proceedings of the second International
• Conference on Multi-Objective Programming and Goal Programming, Torremolinos, Spain, May 16-18, Springer-Verlag, Berlin Heidelberg. Chinneck J.W., Michalowski W.(1996).”MOLP Formulation Assistance
• Using LP Infeasibility Analysis”, Multi-Objective Programming and Goal Programming:theories and applications, Springer-Verlag, Germany, 87-106. Evren R., Ülengin F.(1992). Yönetimde Çok Amaçlı Karar Verme, İTÜ
• Yayınları, Sayı:1490, İstanbul.
• Foued B.A., Sameh M.(2001).”Application of goal programming in a multi-objective resrvoir operation model in Tunisia”, European Journal of Operational Research 133, 352-361.
• Ghosh, D., Sharma D.K., Mattison, D.M.(2005).” Goal programming formulation in nutrient management for rice production in West
• Bengal”, International Journal of Production Economics 95, 1-7. Hillier F.S., Lieberman G.J.(1995). Introduction to Operations Research,
• McGraw-Hill,Inc.,Singapore. Ignizio, J.( 1976). Goal Programming abd Extensions, D.C. Health and Company, Lexington.
• Ignizio, J.( 1985). Introduction to Goal Programming, Sage Publications Inc., USA.
• Kettoni O.,Belaid A., Martel J.(2004).”The double role of the weight factor in the goal programming model”, Computers&Operations Research 31, Elsevier, 1833-1845.
• B. Al-Kloub, T. T. Al-Shemmeri, A.D. Pearman, J.P.Brans, B. Mareschal (1996). “Application of Multicriteria Analysis to Ranking and Evaluation of Water Development Projects(The Case of Jordan)”, Multi
• Objective Programming and Goal Programming, Springer-Verlag, Germany, 25- Kuruüzüm O.(1989).”Proses Endüstrisinde Proses Kontrolü Problemine
• Hedef Programlama ;İle Yaklaşım ve Alternatif Bir HP Algoritması ÖnerisininBir Uygulama Üzerinde Değerlendirilmesi”, Yayınlanmamış Doktora Tezi, İ.T.Ü. Lee Sang M., Richard L.Morris,(1977). “Integer Goal programming methods”, TIMS Studies in the Management Sciences 6, 273-289.
• Markland R. E., Sweigart J.R.(1987).Quantitative Methods: Applications to Managerial Decision Making, John Wiley&Sons, Inc., Canada, 314-327.
• Oliveira F., Volpi M.P., Sanquetta C.R.(2003).”Goal programming in a planning problem”, Applied Mathematics and Computation 140, 165-178.
• Saad Omar M., Walied H. Sharif, (2004). “Stability set for integer linear goal programming”, Applied Mathematics and Computation 153, 743-750.
• Öztürk A.(2004).Yöneylem Araştırması, Ekin Kitabevi Yayınları, Bursa.
• Schniederjans M.J.(1984). Linear Goal Programming, Petrocelli Boks,Inc., USA.
• Tamiz M., Mirrazavi S.K., Jones D.F.(1999).”Extensions of Pareto efficiency analysis to Integer Goal Programming”, Omega, The International Journal of Management Science 27, 179-188.
• Tamiz M., Jones D.F. (1996).”An Overview of Current Solution Methods and Modelling Practices İn Goal Programming”, Multi-Objective
• Programming and Goal Programming:theories and applications, Springer- Verlag, Germany, 198-211. Thizy J.(1996).”Projective and Symbolic Degeneracy Reducing
• Techniques for Multiple Objective Linear Programming”, Multi- Objective Programming and Goal Programming:theories and applications, Springer-Verlag, Germany, 116-127. Zeleny M. (1982). Multiple Criteria Decision Making, McGraw-Hill Book Company, New York.
• Zionts S(1989).”Multiple Criteria Mathematical Programming:An
• Updated Overview And Several Approaches”, Multiple Criteria Decision Making and Risk Analysis Using Microcomputers,(ed: Birsen Karpak), Springer-Verlag, Berlin.