Tedarik Zincirinde Yatay Paylaşım Yaklaşımının Çok Amaçlı Modellenmesi

Tedarik zincirinin aynı aşamasındaki elemanları arasında ürün değişimine izin verilen yatay paylaşım yaklaşımlarının esnek mekanizması, yüksek hizmet seviyelerini düşük stok seviyeleri ile sağlamaya olanak tanımaktadır. Bu çalışmada tedarik zinciri stok yönetiminde yatay paylaşım politikası maliyet ve müşteri hizmet düzeyi gibi birbiriyle çelişen farklı amaçlar üzerindeki etkisini incelemek için çok amaçlı olarak modellenmiştir. Literatürde önerilen bir yatay paylaşım politikası esas alınarak bir tedarikçi ve birden fazla bayi içeren bir tedarik zinciri modelinde maliyet ve müşteri hizmet düzeyi amaçları farklı maliyet parametreleriyle çözümlenmiş ve bu amaçların değişimleri incelenmiştir. Periyodik gözden geçirilen sisteme sahip bayiler arasında ne zaman ve hangi miktarlarda paylaşım yapılması gerektiğine ve en iyi baz stok değerlerine eş zamanlı olarak karar vermek üzere çok amaçlı genetik algoritma kullanılarak pareto optimum çözümler bulunarak analiz edilmiştir.

Multi-Objective Modeling of Lateral Transshipment in Supply Chain

The flexible mechanism of lateral transshipment approaches provide high service levels with low inventory levels by sharing stock among the inventory points at the same stage of supply chain. In this study, lateral transshipment in supply chain inventory management has been modeled as multi-objective problem to examine the effect on different conflicting goals such as cost and customer service level. These objectives were analyzed with different cost parameters in a supply chain model containing a supplier and n retailers by performing a lateral transshipment policy proposed in the literatüre by modifying it. Pareto optimum solutions were analyzed by using multi-objective genetic algorithm to decide when and how much quantity should be shared and the best base stock values simultaneously. 

___

  • [1] Meindl, S.C.P. 2007. Supply Chain Management. Strategy, Planning & Operation. Das Summa Summarum des Management.
  • [2] Wisner, J.D. 2003. A Structural Equation Model Of Supply Chain Management Strategies And Firm Performance. Journal Of Business Logistics, 24(1).
  • [3] Feng, X.H., Moon I., Ryu K. 2017. Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain. Transportation Research Part E-Logistics and Transportation Review, 104: p. 17-35.
  • [4] Paterson, C. 2011. Inventory models with lateral transshipments: A review. European Journal of Operational Research, 210(2): p. 125-136.
  • [5] Heragu, B.Y.E.S.S. 2008. Simulation based Optimization of Multi-Location Transshipment Problem with Capacitated Transportation in Winter Simulation Conference. ABD.
  • [6] Tiacci, L., S. Saetta. 2011. Reducing the mean supply delay of spare parts using lateral transshipments policies. International Journal of Production Economics, 133(1): p. 182-191.
  • [7] Jung, B.R. 2003. Modeling lateral transshipments in multiechelon repairable-item inventory systems with finite repair channels. Computers & Operations Research, 30(9): p. 1401-1417.
  • [8] Nakandala, D., Lau H., Shum P.K.C. 2017. A lateral transshipment model for perishable inventory management. International Journal of Production Research, 55(18): p. 5341-5354.
  • [9] Wu, D.F., Rossetti M.D., Tepper J.E. 2015. Possibility of Inventory Pooling in China's public hospital and appraisal about its performance. Applied Mathematical Modelling, 39(23-24): p. 7277-7290.
  • [10] Van der Heide, G., Roodbergen K.J., Van Foreest N.D. 2017. Redistributing stock in library systems with a depot. Computers & Operations Research, 83: p. 66-77.
  • [11] Reyes P., Patrick Jaska J.M. 2013. A Disaster Relief Inventory Model Based on Transshipment. Independent Journal of Management&Production, 4(2).
  • [12] Lei, Q.S., Wang Y.Y., Zhou X.G. 2016. A trans-shipment model for emergency relief distribution in unexpected disasters. Civil Engineering and Urban Planning, p. 903-908.
  • [13] Mulyono, N.B., Ishida Y. 2014. Clustering inventory locations to improve the performance of disaster relief operations. Knowledge-Based and Intelligent Information & Engineering Systems 18th Annual Conference, 35: p. 1388-1397.
  • [14] Banerjee, A., J. Burton J., Banerjee S. 2003. A simulation study of lateral shipments in single supplier, multiple buyers supply chain networks. International Journal of Production Economics, 81-2: p. 103-114.
  • [15] Burton, J., Banerjee A. 2005. Cost-parametric analysis of lateral transshipment policies in two-echelon supply chains. International Journal of Production Economics, 93-4: p. 169-178.
  • [16] Lee, Y.H., Jung J.W., Jeon Y.S. 2007. An effective lateral transshipment policy to improve service level in the supply chain. International Journal of Production Economics106(1): p. 115-126.
  • [17] Lau H. C. W., Tsui W. T., Ho G. T. S. 2009. Cost Optimization of the Supply Chain Network Using Genetic Algorithms Knowledge and Data Engineering, IEEE Transactions (99): p. 1.
  • [18] Tiacci, L., Saetta S. 2011. A heuristic for balancing the inventory level of different locations through lateral shipments. International Journal of Production Economics, 131(1): p. 87-95.
  • [19] Atan Z. 2013. George Wilsony, Lateral Transshipment and Rationing Policies for Multi-Retailer Systems. SSRN Electronic Journal
  • [20] Alvarez, E.M. 2014. Service differentiation through selective lateral transshipments. European Journal of Operational Research, 237(3): p. 824-835.
  • [21] Glazebrook, K., Paterson C., Rauscher S. 2015. Benefits of Hybrid Lateral Transshipments in Multi-Item Inventory Systems under Periodic Replenishment. Production and Operations Management, 24(2): p. 311-324.
  • [22] Hachicha, W.A., Elleuch. 2013. Evaluating emergency lateral transshipment policies using simulation-based approaches in Advanced Logistics and Transport (ICALT), 2013 International Conference, IEEE: Sousse. p. 470 - 475.
  • [23] Li, X.H., Sun L.Y., Gao J. 2013. Coordinating preventive lateral transshipment between two locations. Computers & Industrial Engineering, 66(4): p. 933-943.
  • [24] Abouee-Mehrizi, H., Berman O., Sharma S. 2015. Optimal Joint Replenishment and Transshipment Policies in a Multi-Period Inventory System with Lost Sales. Operations Research, 63(2): p. 342-350.
  • [25] Kaya S., N.F. 2016. Çok Amaçlı Optimizasyon Problemlerinde Pareto Optimal Kullanımı. Social Sciences Research Journal, 5(2): p. 9-18.
  • [26] Ergül, E.U. 2015. Çok Amaçlı Genetik Algoritma Yöntemlerinin Başarımının Belirlenmesi İçin İki Yeni Ölçüt Önerisi. İleri Teknoloji Bilimleri Dergisi, 4(1): p. 1-13.
  • [27] Zitzler, E., Thiele L. 1999. Multiobjective evolutionary algorithms: A comparative case study and the Strength Pareto approach. Ieee Transactions on Evolutionary Computation, 3(4): p. 257-271.
  • [28] Lokman, B. 2017. Çok Amaçli Tamsayi Programlama Problemlerİ İçİn Temsİlİ Çözüm Üreten Yaklaşimlarin Ve Kalİte Ölçülerinin İncelenmesİ. Endüstri Mühendisliği Dergisi, 28(1): p. 19-39.