Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Široký, P. Nachtigall, J. Gašparík, J. Cáp (2021)
Calculation Model of Railway Capacity Price in the Czech RepublicPromet-traffic & Transportation, 33
Martina Hlatká, R. Kampf, S. Krile, I. Kubasakova (2020)
Streamlining the Logistics Evacuation Process Using the Specific Simulation SoftwareTransportation research procedia, 44
Ajeseun Jimo, C. Braziotis, H. Rogers, K. Pawar (2019)
Traditional vs Additive Manufacturing Supply Chain Configurations: A Comparative Case StudyProcedia Manufacturing
David Strnad, G. Fedorko, V. Molnár, Pavol Fialek (2021)
Simulations as an Assessment Tool for the Feasibility of Logistics Innovations Motivated by the Emergence of Supply Chain RiskAdvances in Science and Technology Research Journal, 15
G. Fedorko, Jan Nečas, J. Zegzulka, Daniel Gelnar, V. Molnár, M. Tomašková (2021)
Measurement of Amount for Steel Abrasive Material Transported by Special Scraper ConveyorApplied Sciences
Quentin Fabry, A. Agnetis, L. Berghman, C. Briand (2021)
Complexity of flow time minimization in a crossdock truck scheduling problem with asymmetric handover relationsOper. Res. Lett., 50
J. Škrinjar, B. Abramović, Martina Furdić (2019)
Methods of Bargaining in Logistics Processes, 134
Branimir Maretić, B. Abramović (2021)
THE SPATIAL REORGANIZATION OF AN INTEGRATION TRANSPORT POINT: A CASE STUDY OF THE CITY OF ŠIBENIKTransport Problems
L. Illes, M. Jurković, T. Kalina, J. Sosedova, Piotr Gorzelańczyk, O. Stopka, Tibor Kubjatko (2022)
Concept and Performance Analysis of Propulsion Units Intended for Distributed Ship SystemsJournal of Marine Science and Engineering
Xiang Xi, Changchun Liu, Wang Yuan, Lee Hay (2020)
Two-stage conflict robust optimization models for cross-dock truck scheduling problem under uncertaintyTransportation Research Part E-logistics and Transportation Review, 144
Lucija Bukvić, Jasmina Škrinjar, B. Abramović, Vladislav Zitrický (2021)
Route Selection Decision-Making in an Intermodal Transport Network Using Game TheorySustainability, 13
B. Abramović, Denis Šipuš, Danijel Jurešić (2021)
A Preparatory Survey in Integrated Passenger Transport Planning: A Case StudyTransportation research procedia, 53
Amina Yaagoubi, Aicha Ferjani, Yasmina Essaghir, Farrokh Sheikhahmadi, Mohamed Abourraja, J. Boukachour, Marie-Laure Baron, Claude Duvallet, Ali Khodadad-Saryazdi (2022)
A logistic model for a french intermodal rail/road freight transportation systemTransportation Research Part E: Logistics and Transportation Review
R. Hruška, Matej Kmetík, Jan Chocholáč (2021)
Selection of the Transport Mode Using the AHP Method Within Distribution Logistics of Motor FuelsPromet - Traffic&Transportation
A. Jensen, Mikkel Thorhauge, G. Jong, J. Rich, T. Dekker, Daniel Johnson, M. Cabral, J. Bates, O. Nielsen (2019)
A disaggregate freight transport chain choice model for EuropeTransportation Research Part E: Logistics and Transportation Review
Renato Humić, B. Abramović (2019)
Criteria for the Quality of Services of Public Interest Organized by Train OperatorsTransportation Research Procedia
A. Motaghedi-Larijani, M. Aminnayeri (2017)
Optimizing number of outbound door in the Crossdock based on a New Queuing System with the Assumption of Beta Arrival TimeScientia Iranica, 25
A. Plakhin, R. Kampf, E. Ogorodnikova, A. Kokovikhin (2017)
Localization Strategies of the Czech Companies on the Basis of Industrial-logistics Parks in the Sverdlovsk Region, 134
AbstractSimulation is one of the methods in which a real system is substituted with a computer model where experiments are practiced and then subsequently analyzed and evaluated. After the application of the results of simulation and verification of its effects the results are applied in the real system with the aim to optimize processes. It seems that simulation is appropriate tool which offers all useful information about how model system works in given conditions. Simulation in planning and optimizing allows better and faster understanding of processes and guarantees that operational devices will work at the top of their effectiveness. Simulation plays an important role in optimization of logistic chains organization. There is a need to analyze strictly, find narrow places, remove them and consequently to repeat simulation with the new data. It is also very profitable to parallelly simulate more possible alternatives when there is a change in input data and consequently to compare them. The model of logistic chain created by simulation will considerably influence right decisions in process solving related to distribution. Subsequent optimization of logistic chain management can be aimed at the organization where the sum of final costs for transport and warehousing is minimum in compliance with basic parameters of customers’ service level.In the paper classic systems of the management of logistic chains are compared, namely direct distribution and indirect distribution made by technology Cross-Dock canter. Final comparative analysis of both systems simulation points out not only to their advantages and disadvantages but also to the possibilities of their optimization and application in particular operational conditions.
Transport technic and technology – de Gruyter
Published: Dec 1, 2022
Keywords: Logistic chain; simulation of process; distribution; transportation chain; Cross-Dock technology
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.