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Optimization of the logistics process in warehouse of automotive company based on simulation study

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dc.title Optimization of the logistics process in warehouse of automotive company based on simulation study en
dc.contributor.author Chramcov, Bronislav
dc.contributor.author Jemelka, Milan
dc.relation.ispartof 16th International Conference on Modeling and Applied Simulation, MAS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
dc.identifier.isbn 978-151084770-5
dc.date.issued 2017
dc.citation.spage 170
dc.citation.epage 176
dc.event.title 18 September 2017 through 20 September 2017
dc.event.location Barcelona
utb.event.state-en Spain
utb.event.state-cs Španělsko
dc.event.sdate 2017-09-18
dc.event.edate 2017-09-20
dc.type conferenceObject
dc.language.iso en
dc.publisher 16th International Conference on Modeling and Applied Simulation, MAS 2017
dc.relation.uri http://www.msc-les.org/proceedings/mas/mas2017/mas2017_170.html
dc.relation.uri http://www.msc-les.org/proceedings/mas/2017/MAS2017_170.pdf
dc.subject Computer simulation en
dc.subject Modelling en
dc.subject Optimization en
dc.subject Optimization methods en
dc.subject Simulation en
dc.subject Warehouse en
dc.subject Witness en
dc.description.abstract The paper focuses on solving complex warehouse simulation to achieve effective solution. Most attention is mainly paid to optimization of the warehouse operation, especially logistics process of warehouse. The aim of the simulation study is to verify if inbound and outbound deliveries are optimal to cover all the requirements of the warehouse in time and in the right amount. Subsequently, experiment with the simulation helps to formulate recommendation which would improve the processes and reduce total cost. The Witness simulation environment is used for modeling and experimenting. The simulation experiments are evaluated per the total cost for stock transfers and storage costs. Description of the proposed simulation experiments and evaluation of achieved results are presented. © Copyright 2017 by CAL-TEK S.r.l. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007650
utb.identifier.obdid 43876812
utb.identifier.scopus 2-s2.0-85035145856
utb.source d-scopus
dc.date.accessioned 2018-01-15T16:31:36Z
dc.date.available 2018-01-15T16:31:36Z
dc.description.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and also by the Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2017/003.
utb.ou CEBIA-Tech
utb.contributor.internalauthor Chramcov, Bronislav
utb.contributor.internalauthor Jemelka, Milan
utb.fulltext.affiliation Bronislav Chramcov, Milan Jemelka Tomas Bata University in Zlín, Faculty of Applied Informatics, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic chramcov@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references Banks J. et al., 2005. Discrete-event system simulation. New Jersey: Prentice Hall, 608 p., ISBN: 0-13-144679-7. Baker P., Canessa M., 2009. Warehouse design: A structured approach. European Journal of Operational Research, 193(2), 425-436. Bottani E., R. Montanari, M. Rinaldi and G. Vignali (2015). Intelligent algorithms for warehouse management. Intelligent Systems Reference Library, 87, pp. 645-667. Curcio D., Longo F. (2009). Inventory and internal logistics management as critical factors affecting the Supply Chain performances. International Journal of Simulation and Process Modelling, 5 (4), 278-288. Gu J., Goetschalckx M., McGinnis L.F., 2007. Research on warehouse operation: A comprehensive review. European Journal of Operational Research 177 (1), 1-21. Karasek, J., 2013. An Overview of Warehouse Optimization. International Journal Of Advances In Telecommunications, Electrotechnics, Signals And Systems, 2(3), 111-117. Kare S., Veeramachaneni R.,Rajuldevi M K., 2009. Warehousing in theory and practice. University College of Boras dissertation. Sweden. Muppani, V.R., Adil, G.K., Bandyopadhyay, A. 2010. A review of methodologies for class-based storage location assignment in a warehouse. International Journal of Advanced Operations Management, 2 (3-4), 274-291. Petersen C.G., Aase G. (2004). A comparison of picking, storage, and routing policies in manual order picking. International Journal of Production Economics, 92(1), 11-19. Raidl G., Pferschy U., 2010. Hybrid Optimization Methods for Warehouse Logistics and the Reconstruction of Destroyed Paper Documents. Dissertation paper. Vienna University Of Technology. Austria.
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and also by the Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2017/003.
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Applied Informatics, Nad Stráněmi 4511, Zlín, Czech Republic
utb.fulltext.projects LO1303 (MSMT-7778/2014)
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
utb.fulltext.projects IGA/FAI/2017/003
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