MONTE CARLO SIMULATION IN INTRALOGISTICS

Branko Davidovic, Dusko Letic, Aleksandar Jovanovic

Abstract


One of the tasks of the intralogistics services is to help the development of the production process timely, i.e. to provide the continuity of production. This requires, among other things, the harmonization of production rhytms and the transporting-manipulative equipments' work cycles. In them, the process of transport runs and is organized so the material is delivered to work positions two to four hours before the processing starts, and taken away two to eight hours after the processing has been finished. This analysis has multiple aims. First, we should determine which number of transporting equipments would minimize the total costs. Further, when making this decision, we don't want to experiment in reality but on the model, in advance, before engaging ourselves in investments, i.e. before the transport has been realised and the technology and the organization of the working system  engaged. In that respect, our  aim is to shape and analyze more and less expensive variants of the solution with relatively short realization deadlines. Finally, we need a procedure which will be accessible and useful to the project engineers of the technological and transporting processes in intralogistics.

Keywords


intralogistics, simulation, modeling, algorithm, work cost, variant

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References


Davidović, B. (2012). Unutrašnji transport - Intralogistika. Beograd: Intelekt.

Fishman, S. G. (1999). Monte Carlo concepts, Algorithms and Applications, Springer Series in Operations Research. Springer.

Kun, L. (1973). Primena istraživanja operacija. Novi Sad: Mašinski fakultet.

Letić, D., Berković, I., Davidović, B., & Petrov, T. (2007). Mathcad 13 u matematici i vizuelizaciji. Čačak: Kompjuter biblioteka.

Letić, D., Davidović, B., Berković, I., & Petrov, T. (2007). Mathcad 13 u matematici i vizuelizaciji. Čačak: Kompjuter biblioteka.

Pidd, M. (1998). Computer Simulation in Management science. Chichester, England: John Wiley & Sons.

Radenković, B., Stanojević, M., & Marković, A. (1999). Računarska simulacija. Beograd: FON.

Vukadinović, S., & Popović, J. (1996). Metoda Monte Karlo. Beograd: Saobraćajni fakultet.


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