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

Chramcov, Bronislav; Jemelka, Milan

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