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Tytuł artykułu

SIMMAG3D AS a tool for designing of storage facilities in 3D

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Designing of storage facilities is an interdisciplinary process that requires consideration of technical, economic, social or environmental issues. Storage facilities, as a part of supply chain are designed to provide customers availability of goods at a certain time, quantity and place. This involves the functions resulting therefrom, such as storage, sorting, picking, packing, etc. The efficiency of processes in the supply chains is strongly influenced by the location and shape of the storage facilities that are critical components. These issues are multi-threaded, and they are subject of an iterative approach in which information tools are playing a special role. One of such tool is the SIMMAG3D system. It is a system for modelling and visualization in 3D of warehouse facilities, which was built based on developed mathematical models, computational algorithms and functional dependencies necessary for the designing of storage facilities. It also takes into account the different types of warehouses and design methodologies as well as the location of warehouses in the logistic network. The article presents the elements of the SIMMAG3D system and characterizes its functional capabilities. It has been pointed out that one of the key elements of the system is the module for 3D visualization of storage facilities. In addition, an example of the visualizer operation on real data concerning one of the FMCG storage facility is provided.
Rocznik
Strony
25--38
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
autor
  • Warsaw University of Technology, Faculty of Transport, Warsaw, Poland
autor
  • Warsaw University of Technology, Faculty of Transport, Warsaw, Poland
autor
  • Logifact-System Sp. z o.o., Warsaw, Poland
Bibliografia
  • [1] AMBROZIAK, T., JACYNA, M., 2002. Queueing theory approach to transport process dynamics, Part 1. Dynamics of transport network connections. Archives of Transport, 14(4), 5-20.
  • [2] AMBROZIAK, T., JACYNA, M., 2003. Queueing theory approach to transport process dynamics, Part 2. Parameters of the transport process dynamics. Archives of Transport, 15(1), 5-21.
  • [3] ASHAYERI, J., GELDERS, L.F., 1985. Warehouse design optimization. European Journal of Operational Research, 21(3), 285-294.
  • [4] BOROWSKI, I.,2005. Sukces jest w zasięgu ręki. Logistyka a jakość, 3(33), 96-98.
  • [5] BRZEZIŃSKI, M., 2007. Systemy w logistyce. Warszawa: Wojskowa Akademia Techniczna.
  • [6] CLARK, T.D. JR., KURONO, H., 1995. A Conversion Table of DYNAMO into STELLA II. In System Dynamics ’95 - International Conference, II, Tokyo, pp. 424-433.
  • [7] DOBRZAŃSKA-DANIKIEWICZ, A., KRENCZYK, D., 2008. Production flow synchronisation versus buffer capacities in assembly systems. Journal of Achievements in Materials and Manufacturing Engineering, 29(1), 91-98.
  • [8] FORRESTER, J.W., 1989. The Beginning of System Dynamics. Banquet Talk at the international meeting of the System Dynamics Society. Stuttgart, p. 16.
  • [9] KARKULA, M., 2008. Application of decision tables in discrete event simulation models. In Wybrane zagadnienia logistyki stosowanej, 5, Kraków: Oficyna Wydawnicza TEXT, 252-260.
  • [10] KORZEŃ, Z., 1999. Logistyczne systemy transportu bliskiego i magazynowania, Tom II – Projektowanie, Modelowanie, Zarządzanie. Poznań: Instytut Logistyki i Magazynowania.
  • [11] KRAHL, D., 2012. Extendsim: A history of innovation. In LAROQUE C., HIMMELSPACH J., PASUPATHY R., ROSE O., UHRMACHER A.M. (eds). Proceedings of the 2012 Winter Simulation Conference, p. 8.
  • [12] KROGDAHL, S., 2003. The birth of Simula. In: IFIP Conference on History of Nordic Computing. Springer: US, 261-275.
  • [13] LESZCZYŃSKI, J., 1973. Modelowanie symulacyjne w transporcie kolejowym. Warszawa: Wydawnictwa Komunikacji i Łączności.
  • [14] O’REILLY, J.J, 1995. Introduction to SLAM II® and Slamsystem®. In ALEXOPOULOS C., KANG K., LILEGDON W.R., GOLDSMAN D. (eds), Proceedings of the 1995 Winter Simulation Conference. IEEE, 467-471.
  • [15] RUSHTON, A., CROUCHER, P., BAKER, P., 2006. The handbook of logistics and distribution management. 3rd edition. London and Philadelphia: Kogan Page Limited.
  • [16] TURBAN, E., MEREDITH, J.R., 1991. Fundamentals of management science. Fifth edition. Homewood, Boston: Irwin.
  • [17] WASIAK, M., 2007. A queuing theory approach to logistics systems modelling. Archives of Transport, 19(1-2), 103-120.
  • [18] ZHU, X., ZHANG, R., CHU, F., HE, Z. and LI, J., 2014. A Flexsim-based Optimization for the Operation Process of Cold-Chain Logistics Distribution Centre. Journal of Applied Research and Technology, 12, 270-278.
  • [19] SIMMAG3D REPORT, 2017, Functional specification on SIMMAG3D – task 6. Warsaw University of Technology, Faculty of Transport (not published).
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-df9d5d27-0e01-42e0-af1b-bf8ee3bd9652
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