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Warehouse location problem in supply chain designing: a simulation analysis

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The facility location problem is a popular issue in the literature. The current development of world economies and globalization of the market requires continuous improvement of methods and research in this field. The location of the object determines the time of transport, affects the operational costs of the supply chain, and determines the possible amount of inventory or minimum inventory levels. These are critical issues from the point of view of designing an effective logistics system. The degree of complexity of current decision-making problems requires the construction of mathematical models and support for the decision-maker by optimization and simulation methods. A comprehensive and systemic approach to the problem allows the effective planning of supply chains. The purpose of this article was to study the sensitivity of the warehouse location problem in the supply chain. The solution was obtained based on the methodology developed under the SIMMAG3D project. The article presents the characteristics of the issue of the location of warehouse objects, the mathematical formulation of the solved problem of location and the method of its solution based on the heuristic algorithm using the modification of the Busacker-Gowen method. Then, a supply chain simulation model was developed in the FLEXSIM environment and scenario studies were performed for various input data and model parameters. The analysis and assessment of the solution based on parameters such as utilization of the potential of warehouse objects object were presented. Random change in demand described by Erlang distribution and normal distribution was considered. The analysis showed how the selection of a statistical distribution to describe the input data can affect the shape of the logistics system. The article ends with a summary of considerations and a plan for further research in the use of the simulation environment to support the decision-making process of the location of storage facilities and the functioning of supply chains.
Rocznik
Strony
101--110
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
  • Warsaw University of Technology, Faculty of Transport, Warsaw, Poland
  • Warsaw University of Technology, Faculty of Transport, Warsaw, Poland
  • Warsaw University of Technology, Faculty of Transport, Warsaw, Poland
  • Warsaw University of Technology, Faculty of Production Engineering, Warsaw, Poland
Bibliografia
  • [1] AFSHARI, H., SHARAFI, M., ELMEKKAWY, T., PENG, Q., 2014. Optimizing multi-objective dynamic facility location decisions within green distribution network design. Procedia Cirp, 17, 675-679.
  • [2] BENDER, T., HENNES, H., KALCSICS, J., MELO, M.T., NICKEL, S., 2002. Location software and interface with GIS and supply chain management. In: Drezner, Z., Hamacher, H.W. (eds.), Facility Location: Applications and Theory, 233–274, Springer, New York.
  • [3] DASKIN, M.S., 1995. Network and Discrete Location: Models, Algorithms, and Applications. Wiley, New York.
  • [4] DREZNER, Z., HAMACHER, H.W., 2004. Facility Location: Applications and Theory. Springer, New York.
  • [5] DUKKANCI, O., BEKTAŞ, T., KARA, B. Y., 2019. Green Network Design Problems. In Sustainable Transportation and Smart Logistics (169-206). Elsevier.
  • [6] FARAHANI, R. Z., HEKMATFAR, M., FAHIMNIA, B., KAZEMZADEH, N., 2014. Hierarchical facility location problem: Models, classifications, techniques, and applications. Computers & Industrial Engineering, 68, 104-117.
  • [7] FARAHANI, R. Z., STEADIESEIFI, M., ASGARI, N., 2010: Multiple criteria facility location problems: A survey. Applied Mathematical Modelling, 34(7), 1689-1709.
  • [8] GOVINDAN, K., FATTAHI, M., KEYVANS-HOKOOH, E., 2017. Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108-141.
  • [9] JACYNA, M., IZDEBSKI, M., SZCZEPAŃSKI, E., GOŁDA, P., 2018. The Task Assignment of Vehicles for a Production Company. Symmetry, 10(11), 551.
  • [10] JACYNA, M., WASIAK, M., BOBIŃSKI, A., 2017. SIMMAG3D as a tool for designing of storage facilities in 3D. Archives of Transport, 42(2), 25-38.
  • [11] JACYNA-GOŁDA, I., IZDEBSKI, M., LEWCZUK, K., 2018. The Multi-criteria Location Problem of the Municipal Plants. In International Conference on Transport Systems Telematics, 493-505, Springer, Cham.
  • [12] JACYNA-GOŁDA, I., IZDEBSKI, M., SZCZEPAŃSKI, E., GOŁDA, P., 2018: The assessment of supply chain effectiveness. Archives of Transport, 45(1), 43-52.
  • [13] JACYNA-GOŁDA, I., IZDEBSKI, M., 2017. The Warehouse Location Problem in the Context of Vehicle Routing Problem in the Production Companies. In Scientific And Technical Conference Transport Systems Theory And Practice, 50-62, Springer, Cham.
  • [14] MELO, M. T., NICKEL, S., SALDANHA-DAGAMA, F., 2009. Facility location and supply chain management - a review. European Journal of Operational Research, 196(2), 401-412.
  • [15] MIRCHANDANI, P.B., FRANCIS, R.L., 1990. Discrete Location Theory. Wiley, New York.
  • [16] ORTIZ-ASTORQUIZA, C., CONTRERAS, I., LAPORTE, G., 2018. Multi-level facility location problems. European Journal of Operational Research, 267(3), 791-805.
  • [17] OWEN, S.H., DASKIN, M.S., 1998. Strategic facility location: A review. European Journal of Operational Research, 111, 423-447.
  • [18] REVELLE, C.S., EISELT, H.A., 2005. Location analysis: A synthesis and survey. European Journal of Operational Research, 165, 1–19.
  • [19] SYSŁO, M.M., DEO, N., KOWALIK, J.S., 2006. Discrete optimization algorithms: with Pascal programs. Courier Corporation.
  • [20] SZCZEPAŃSKI, E., ŻAK, J., JACYNA-GOŁDA, I., MURAWSKI, J., 2017. Simulation Support of Freight Delivery Schedule in Urban Areas. Procedia Engineering, 187, 520-525.
  • [21] VIDAL, C.J., GOETSCHALCKX, M., 1997. Strategic production-distribution models: A critical review with emphasis on global supply chain models. European Journal of Operational Research, 98, 1–18.
  • [22] WASIAK, M., JACYNA, M., LEWCZUK, K., SZCZEPAŃSKI, E., 2017. The method for evaluation of efficiency of the concept of centrally managed distribution in cities. Transport, 32(4), 348-357.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-84bfb18e-22dd-493d-8a51-4998eafe38eb
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