DEPO TASARIMI VE YERLEŞİMİ: BİR GERÇEK HAYAT UYGULAMASI

Etkin bir depo tasarımı ve yerleşimi firmaların operasyon maliyetlerini önemli ölçüde azaltmaktadır. Bu çalışmada, bir beyaz eşya firmasına ait depo tasarımı ve yerleşimi problemi ele alınmıştır. Çalışmanın ilk aşamasında, deponun tasarımını önemli ölçüde etkileyeceği için kullanılacak olan forkliftlerin seçimi yer almaktadır. Bu amaçla, forklift seçim kriterleri belirlenmiş; Analitik Hiyerarşi Süreci ile kriterlerin ağırlıkları hesaplanmış; ve TOPSIS yöntemi kullanılarak en uygun forklift alternatifi belirlenmiştir. Ardından, deponun kısıtları da göz önünde bulundurularak depolama alanları tasarlanmış; ve beklenen toplam taşıma mesafelerini en aza indirgemek amacıyla bir matematiksel model kurulmuştur. Matematiksel model çözülerek optimal sonuç elde edilmiş ve ürün gruplarının atanacağı depolama alanları belirlenmiştir.

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  • Accorsi, R., Bortolini, M., Gamberi, M., Manzini, R., Pilati, F., 2017. Multi-objective warehouse building design to optimize the cycle time, total cost, and carbon footprint, The International Journal of Advanced Manufacturing Technology, 92, 839-854.
  • Arnaout, J.-P., 2017. Worm optimization for the multiple level warehouse layout problem, Annals of Operations Research, DOI 10.1007/s10479-017-2683-0.
  • Arnaout, J.-P., ElKhoury, C., Karayaz, G., 2017. Solving the multiple level warehouse layout problem using ant colony optimization, Operational Research - An International Journal, DOI 10.1007/s12351-017-0334-5.
  • Atanasković, P., Gajić, V., Dadić, I., Nikoličić, S., 2013. Selection of forklift unit for warehouse operation by applying multi-criteria analysis, Promet – Traffic& Transportation, 25, 379-386.
  • Baker, P., Canessa, M., 2009. Warehouse design: A structured approach, European Journal of Operational Research, 193, 425-436.
  • Cardona, L. F., Soto, D. F., Rivera, L., Martinez, H. J., 2015. Detailed design of fishbone warehouse layouts with vertical travel, International Journal of Production Economics, 170, 825-837.
  • Davarzani, H., Norrman, A., 2015. Toward a relevant agenda for warehousing research: literature review and practitioners’ input, Logistics Research, 8:1, DOI 10.1007/s12159-014-0120-1.
  • Gu, J., Goetschalckx, M., McGinnis, L. F., 2007. Research on warehouse operation: A comprehensive review, European Journal of Operational Research, 177, 1-21.
  • Gu, J., Goetschalckx, M., McGinnis, L. F., 2010. Research on warehouse design and performance evaluation: A comprehensive review, European Journal of Operational Research, 203, 539-549.
  • Guerriero, F., Musmanno, R., Pisacane, O., Rende, F., 2013. A mathematical model for the multi-levels product allocation problem in a warehouse with compatibility constraints, Applied Mathematical Modelling, 37, 4385-4398.
  • Hassan, M. M. D., 2010. A framework for selection of material handling equipment in manufacturing and logistics facilities, Journal of Manufacturing Technology Management, 21, 246-268.
  • Hwang, C. L. ve Yoon, K., 1981. Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, New York.
  • Kulak, O., 2005. A decision support system for fuzzy multi-attribute selection of material handling equipments, Expert Systems with Applications, 29, 310–319.
  • Koster, R., Le-Duc, T., Roodbergen, K. J., 2007. Design and control of warehouse order picking: A literature review, European Journal of Operational Research, 182, 481-501.
  • Larson, T. N., March, H., Kusiak, A., 1997. A heuristic approach to warehouse layout with class-based storage, IIE Transactions, 29, 337-348.
  • Meller, R. ve Gue, K., 2009. Aisle configurations for unit-load warehouses, IIE Transactions, 41, 171-182.
  • Önüt, S., Tuzkaya, U. R., Doğaç, B., 2008. A particle swarm optimization algorithm for the multiple-level warehouse layout design problem, Computers and Industrial Engineering, 54, 783-799.
  • Öztürkoğlu, Ö., Gue, K. R. ve Meller, R. D., 2014. A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points, European Journal of Operational Research, 236, 382–394.
  • Pazour, J. A. ve Carlo, H. J., 2015. Warehouse reshuffling: Insights and optimization, Transportation Research Part E: Logistics and Transportation Review, 73, 207-226.
  • Reis, A. C., Souza, C. G., Costa, N. N., Stender, G. H. C., Vieira, P. S., Pizzolato, N. D., 2017. Warehouse design: A systematic literature review, Brazilian Journal of Operations & Production Management, 14, 542-555.
  • Roodbergen, K. J., Vis, I. F. A., 2006. A model for warehouse layout, IIE Transactions, 38, 799-811.
  • Saaty, T. L., 1986. Axiomatic foundation of the Analytic Hierarchy Process, Management Science, 32, 842-843.
  • Sanei, O., Nasiri, V., Marjani, M.R., Moattar Husseini, S.M., 2011. A heuristic algorithm for the warehouse space assignment problem considering operational constraints: with application in a case study, Proceedings of the 2011 International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia.
  • Shqair, M. ve Altarazi, S., 2014. A statistical study employing agent-based modeling to estimate the effects of different warehouse parameters on the distance traveled in warehouses, Simulation Modelling Practice and Theory, 49, 122-135.
  • Yang, M. H., 2001. An efficient algorithm to allocate shelf space, European Journal of Operational Research, 131, 107-118.
  • Zhang, G., Nishi, T., Turner, S. D. O., Oga, K., Li, X., 2017. An integrated strategy for a production planning and warehouse layout problem: Modeling and solution approaches, Omega, 68, 85-94.