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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access December 30, 2016

The Use of Computer Simulation Methods to Reach Data for Economic Analysis of Automated Logistic Systems

  • Hana Neradilová and Gabriel Fedorko
From the journal Open Engineering

Abstract

Automated logistic systems are becoming more widely used within enterprise logistics processes. Their main advantage is that they allow increasing the efficiency and reliability of logistics processes. In terms of evaluating their effectiveness, it is necessary to take into account the economic aspect of the entire process. However, many users ignore and underestimate this area,which is not correct. One of the reasons why the economic aspect is overlooked is the fact that obtaining information for such an analysis is not easy. The aim of this paper is to present the possibilities of computer simulation methods for obtaining data for full-scale economic analysis implementation.

References

[1] Jaiganesh V., Dhileep Kumar J., Girijadevi J., Automated guided vehicle with robotic logistics system, Procedia Engineering, 2014, 97, 2011-2021 10.1016/j.proeng.2014.12.444Search in Google Scholar

[2] Berman S., Schechtman E., Edan, Y., Evaluation of automatic guided vehicle systems, Robotics and Computer-Integrated Manufacturing, 2009, 3, 522-528 10.1016/j.rcim.2008.02.009Search in Google Scholar

[3] Ilić O., Analysis of the number of automated guided vehicles required in flexible manufacturing systems, The International Journal of Advanced Manufacturing Technology, 1994, 6, 382- 389 10.1007/BF01748483Search in Google Scholar

[4] Le-Anh, T., De Koster, M., A review of design and control of automated guided vehicle systems, European Journal of Operational Research, 2006, 171, 1-23 10.1016/j.ejor.2005.01.036Search in Google Scholar

[5] Molnár V., SAPwarehousemanagement system for awarehouse of auxiliarymaterial in the selected company, In: 2nd Carpathian Logist. Congr. (7-9 November 2012, Jesenik, Czech Republic), Ostrava: TANGER LTD, 2012, 1-6 Search in Google Scholar

[6] Martinez-Barbera H., Herrero-Perez D., Autonomous navigation of an automated guided vehicle in industrial environments, Robotics and Computer-Integrated Manufacturing, 2010, 4, 296-311 10.1016/j.rcim.2009.10.003Search in Google Scholar

[7] Vis I., Survey of research in the design and control of automated guided vehicle systems, European Journal of Operational Research, 2006, 170, 677-709 10.1016/j.ejor.2004.09.020Search in Google Scholar

[8] Wooyeon Y., Egbelu P., Design of a variable path tandem layout for automated guided vehicle systems, Journal ofManufacturing Systems, 2001, 20, 305-319 10.1016/S0278-6125(01)80050-9Search in Google Scholar

[9] Malmborg C., A Decision Support system for automated guided vehicle system-design, Applied Mathematical Modelling, 1992, 16, 170-180 10.1016/0307-904X(92)90055-8Search in Google Scholar

[10] Lizbetin J., Caha Z., The optimization of the intermodal terminals, Nase More, 2015, 62(3), 97-100 10.17818/NM/2015/SI2Search in Google Scholar

[11] Stopka O., Cejka J., Kampf R., Bartuska L., Draft of the novel system of public bus transport lines in the particular territory, In: Transport Means 2015 - Proceedings of the 19th International Scientific Conference on Transport Means (22-23 October 2015, Kaunas, Lithuania), Kaunas University of Technology, 2015, 39- 42 Search in Google Scholar

[12] Andrejiová M., Pavlisková A., Husáková N., Application of multicriterion decision methods by the selection of optimal constructive elements for devices of continuous transport, In: 2nd Carpathian Logist. Congr. (7-9 November 2012, Jesenik, Czech Republic), Ostrava: TANGER LTD., 2012, 1-6 Search in Google Scholar

[13] Ullrich G., Automated Guided Vehicle Systems: A Primer with Practical Applications Search in Google Scholar

[e-book], 2nd ed., Springer, Heidelberg, 2015 Search in Google Scholar

[14] Cujan Z., Logistics of production technologies, College of Logistics, Prerov, 2013 Search in Google Scholar

[15] Reznicek B., Saradin P., Marketing in transport, Grada Publishing, Prague, 2001 Search in Google Scholar

[16] Mircetic D., Ziramov N., Nikolicic S.,Maslaric M., Ralevic N., Demand Forecasting in Beverage Supply Chain, In: Proceedings of the 3rd Olympus International Conference In Supply Chains (7-8 November 2015, Athens, Greece), 2015, 58-65 Search in Google Scholar

[17] Kodym O., Kavka L., Sedláček M., Logistic chain data processing, International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, (18-24 June 2015, Albena, Bulgaria), SGEM 2015, 183-190 Search in Google Scholar

Received: 2016-6-23
Accepted: 2016-9-6
Published Online: 2016-12-30

©2016 H. Neradilová and G. Fedorko

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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