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TEDARİK ZİNCİRİYÖNETİMİNDE DAĞITIM AĞLARININ TASARIMI VE OPTİMİZASYONU: MALZEME İHTİYAÇ KISITI ALTINDA STRATEJİK BİR ÜRETİM-DAĞITIM MODELİ

Year 2005, Issue: 14, 435 - 454, 01.08.2005

Turan Paksoy

Abstract

Bir tedarik zinciri; tedarikçiler, imalatçılar, dağıtıcılar, toptancılar, perakendeciler gibi çeşitli işaktörlerinden oluşan bir ağda, hammadde temininden ürünlerin son tüketicilere dağıtım ve pazarlanmasına kadarki tüm işsüreçlerinin birlikte uyum içinde hareketini sağlamak üzere, malların ve bilginin akışınıyöneten bütünleşik bir sistem olarak tanımlanabilir. Bu işağının öğelerinin, sayılarının ve yerlerinin tespiti, birbirleri arasındaki fiziksel akışın miktarının belirlenmesi gibi alt problemleri içeren ağtasarımıproblemi tedarik zinciri yönetimi içinde stratejik bir öneme sahiptir. Bu çalışmada, tedarik zinciri yönetiminde dağıtım ağlarının tasarımıve optimizasyonu problemi ele alınmıştır. Malzeme ihtiyaç kısıtıaltında stratejik üretim-dağıtım problemi için çok aşamalıkarma tamsayılıbir model geliştirilmiştir.

Keywords

Tedarik Zinciri Yönetimi AğTasarımıve Optimizasyonu Stratejik Üretim- Dağıtım Modeli Malzeme İhtiyaç Kısıtı

References

  • AMIRI, A., 2004, Designing a distribution network in a supply chain system: Formulation and efficient solution procedure, European Journal of Operational Research, In Press.
  • ARNTZEN, B. C., BROWN, G. G., HARRISON, T. P., TRAFTON, L. L., 1995, Global Supply Chain Management at Digital Equipment Corporation, Interfaces, 25(1), 69-93.
  • BAKOĞLU, R., YILMAZ, E., 2001, Tedarik Zinciri Tasarımının Rekabet Avantajı Yaratması Açısından Değerlendirilmesi: “Fast Food” Sektörü Örneği, VI. Ulusal Pazarlama Kongresi, Erzurum.
  • BOWERSOX, D. J., CLOSS, D. J., 1996, Logistical Management: The Integrated Supply Chain Process, McGraw-Hill, New York.
  • CARMICHAEL, D., 1998, Supply chain planning systems in manufacturing, Unpublished Master Thesis in Manufacturing: Management and Technology.
  • COHEN, M. A., LEE, H. L., 1989, Resource deployment analysis of global manufacturing and distribution networks, Journal of Manufacturing and Operations Management, 2, pp 81-104.
  • COOPER, M. C., LAMBERT, D. M., PAGH, J. D., 1997, Supply chain management: More than a new name for logistics, The International Journal of Logistics Management, 8(1), pp 1-13.
  • ERASLAN, E., 2003, “Multi-echelon envanter modelleri”, http:// www.baskent.edu.tr/ ~eraslan/ multi.doc, Erişim Tarihi: 22.10.2003.
  • FOSTER, T. A., 1999, In Europe 3PLs Rule, Logistics, October, pp. 49-56.
  • GANESHAN, R., BOONE, T., STENGER, A. J., 2001, The impact of inventory and flow planning parameters on supply chain performance: An exploratory study, International Journal of Production Economics, Vol 71, pp 111-118.
  • JAYARAMAN, V., ROSS, A., 2003, A simulated annealing methodology to distribution network design and management, European Journal of Operational Research, Vol 144, Issue 3, pp 629-645.
  • JOHNSON, G. A., MALUCCI, L., 1999, Shift to supply chain reflects more strategic approach, APICS- The Performance Advantage, October, pp. 28-31.
  • JOHNSON, M. E., PYKE, D. F., 2001, Supply chain management: Integration and globalization in the age of e-business, The Amos Tuck School of Business, Collage Research Paper, (in Manufacturing Engineering Handbook forthcoming), Dartmouth.
  • Klaus, H., Rosemann, M., Gable, G. G., 2000, What is ERP?, Information Systems Frontiers, 2:2, pp141-162.
  • LEE, Y. H., KIM, S. H., 2002, Production-distribution planning in supply chain considering capacity constraints”, Computers and Industrial Engineering, Vol. 43, Issue 1-2, pp 169-190.
  • MIN, H., ZHOU, G., 2002, Supply chain modeling: past, present and future, Computers & Industrial Engineering, Vol 43, Issue 1-2, pp231-249.
  • MURPHY, P. R., POIST, R. F., LYNAGH, M. P., GRAZER, F. W., 2003, An analysis of select web site practices among supply chain management, Industrial Marketing Management, Vol 32, pp 243-250.
  • PETROVIC, D., ROY, R., PETROVIC, R., 1999, Supply chain modeling using fuzzy sets”, International Journal of Production Economics, Vol. 59, pp 443-453.
  • PYKE, D. F., COHEN, M. A., 1993, Performance characteristics of stochastic integrated production-distribution systems, European Journal of Operational Research, Vol 68, Issue 1, pp 23-48.
  • SAKAWA, M., NISHIZAKI, I., UEMURA, Y., 2002, A decentralized two- level transportation problem in a housing material manufacturer: Interactive fuzzy programming approach”, European Journal of Operational Research, Vol 141, pp 167-185.
  • SHAPIRO, J. F., 2001, Modeling the Supply Chain”, Duxbury Thomson Learning Inc., CA, pp 40-53.
  • VIDAL, C. J., GOETSCHALCKX, M., 1998, Strategic production- distribution models: A critical review with emphasis on global supply chain models, European Journal of Operational Research, Vol.98, pp. 1-18.
  • WANG, Y. Z., 2003, Using genetic algorithm methods to solve course scheduling problems, Expert Systems with Applications, Volume 25, Issue 1, pp 39-50.
  • www.btvizyon.com, 2002, “B2B ile değişen tedarik yönetimi”, http://www.btvizyon.com.tr/ viz_dergi_dosya.phtml?kulakcik_nox=48&konu_dosya_nox=176, Erişim Tarihi: 18.10.2003.
  • www.e-cozumevi.com, http://www.e-cozumevi.com/scm.htm, Erişim Tarihi: 18.10.2003.
  • YAN, H., YU, Z., CHENG, T. C. E., 2003, A strategic model for supply chain design with logical constraints: formulation and solution, Computers & Operations Research, Vol. 30, Issue 14, pp 2135-2155.
  • YAN, H., YU, Z., CHENG, T. C. E., 2003, A strategic model for supply chain design with logical constraints: formulation and solution, Computers & Operations Research, Vol. 30, Issue 14, pp 2135-2155.

Year 2005, Issue: 14, 435 - 454, 01.08.2005

Turan Paksoy

Abstract

A supply chain can be defined as an integrated system, which manages information and physical distribution, in order to synchronize a series of business processes from the supply of raw materials and components to delivery of finished products through end customers in a network that includes various business actors such as suppliers, manufacturers, distributors, and retailers. Network design problem, that includes sub problems such as assigning the numbers and the locations of entities of this business network and determining the amount of physical distribution among these entities, has a strategic role in supply chain management. In this study, design and optimization problem of distribution networks in supply chain management is considered. A multi echelon mixed integer model for the production-distribution model under material requirements constraints is developed

Keywords

Supply Chain Management Network Design and Optimization Strategic Production-Distribution Model Material Requirements Constraint.

References

  • AMIRI, A., 2004, Designing a distribution network in a supply chain system: Formulation and efficient solution procedure, European Journal of Operational Research, In Press.
  • ARNTZEN, B. C., BROWN, G. G., HARRISON, T. P., TRAFTON, L. L., 1995, Global Supply Chain Management at Digital Equipment Corporation, Interfaces, 25(1), 69-93.
  • BAKOĞLU, R., YILMAZ, E., 2001, Tedarik Zinciri Tasarımının Rekabet Avantajı Yaratması Açısından Değerlendirilmesi: “Fast Food” Sektörü Örneği, VI. Ulusal Pazarlama Kongresi, Erzurum.
  • BOWERSOX, D. J., CLOSS, D. J., 1996, Logistical Management: The Integrated Supply Chain Process, McGraw-Hill, New York.
  • CARMICHAEL, D., 1998, Supply chain planning systems in manufacturing, Unpublished Master Thesis in Manufacturing: Management and Technology.
  • COHEN, M. A., LEE, H. L., 1989, Resource deployment analysis of global manufacturing and distribution networks, Journal of Manufacturing and Operations Management, 2, pp 81-104.
  • COOPER, M. C., LAMBERT, D. M., PAGH, J. D., 1997, Supply chain management: More than a new name for logistics, The International Journal of Logistics Management, 8(1), pp 1-13.
  • ERASLAN, E., 2003, “Multi-echelon envanter modelleri”, http:// www.baskent.edu.tr/ ~eraslan/ multi.doc, Erişim Tarihi: 22.10.2003.
  • FOSTER, T. A., 1999, In Europe 3PLs Rule, Logistics, October, pp. 49-56.
  • GANESHAN, R., BOONE, T., STENGER, A. J., 2001, The impact of inventory and flow planning parameters on supply chain performance: An exploratory study, International Journal of Production Economics, Vol 71, pp 111-118.
  • JAYARAMAN, V., ROSS, A., 2003, A simulated annealing methodology to distribution network design and management, European Journal of Operational Research, Vol 144, Issue 3, pp 629-645.
  • JOHNSON, G. A., MALUCCI, L., 1999, Shift to supply chain reflects more strategic approach, APICS- The Performance Advantage, October, pp. 28-31.
  • JOHNSON, M. E., PYKE, D. F., 2001, Supply chain management: Integration and globalization in the age of e-business, The Amos Tuck School of Business, Collage Research Paper, (in Manufacturing Engineering Handbook forthcoming), Dartmouth.
  • Klaus, H., Rosemann, M., Gable, G. G., 2000, What is ERP?, Information Systems Frontiers, 2:2, pp141-162.
  • LEE, Y. H., KIM, S. H., 2002, Production-distribution planning in supply chain considering capacity constraints”, Computers and Industrial Engineering, Vol. 43, Issue 1-2, pp 169-190.
  • MIN, H., ZHOU, G., 2002, Supply chain modeling: past, present and future, Computers & Industrial Engineering, Vol 43, Issue 1-2, pp231-249.
  • MURPHY, P. R., POIST, R. F., LYNAGH, M. P., GRAZER, F. W., 2003, An analysis of select web site practices among supply chain management, Industrial Marketing Management, Vol 32, pp 243-250.
  • PETROVIC, D., ROY, R., PETROVIC, R., 1999, Supply chain modeling using fuzzy sets”, International Journal of Production Economics, Vol. 59, pp 443-453.
  • PYKE, D. F., COHEN, M. A., 1993, Performance characteristics of stochastic integrated production-distribution systems, European Journal of Operational Research, Vol 68, Issue 1, pp 23-48.
  • SAKAWA, M., NISHIZAKI, I., UEMURA, Y., 2002, A decentralized two- level transportation problem in a housing material manufacturer: Interactive fuzzy programming approach”, European Journal of Operational Research, Vol 141, pp 167-185.
  • SHAPIRO, J. F., 2001, Modeling the Supply Chain”, Duxbury Thomson Learning Inc., CA, pp 40-53.
  • VIDAL, C. J., GOETSCHALCKX, M., 1998, Strategic production- distribution models: A critical review with emphasis on global supply chain models, European Journal of Operational Research, Vol.98, pp. 1-18.
  • WANG, Y. Z., 2003, Using genetic algorithm methods to solve course scheduling problems, Expert Systems with Applications, Volume 25, Issue 1, pp 39-50.
  • www.btvizyon.com, 2002, “B2B ile değişen tedarik yönetimi”, http://www.btvizyon.com.tr/ viz_dergi_dosya.phtml?kulakcik_nox=48&konu_dosya_nox=176, Erişim Tarihi: 18.10.2003.
  • www.e-cozumevi.com, http://www.e-cozumevi.com/scm.htm, Erişim Tarihi: 18.10.2003.
  • YAN, H., YU, Z., CHENG, T. C. E., 2003, A strategic model for supply chain design with logical constraints: formulation and solution, Computers & Operations Research, Vol. 30, Issue 14, pp 2135-2155.
  • YAN, H., YU, Z., CHENG, T. C. E., 2003, A strategic model for supply chain design with logical constraints: formulation and solution, Computers & Operations Research, Vol. 30, Issue 14, pp 2135-2155.
There are 27 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Turan Paksoy This is me

Publication Date August 1, 2005
Published in Issue Year 2005 Issue: 14

Cite

APA Paksoy, T. (2005). TEDARİK ZİNCİRİYÖNETİMİNDE DAĞITIM AĞLARININ TASARIMI VE OPTİMİZASYONU: MALZEME İHTİYAÇ KISITI ALTINDA STRATEJİK BİR ÜRETİM-DAĞITIM MODELİ. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(14), 435-454.

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