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Logistics management as a system constraint

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dc.title Logistics management as a system constraint en
dc.title Zarządzanie logistyczne jako ograniczenie systemowe pl
dc.contributor.author Hrušecká, Denisa
dc.contributor.author Pivnička, Michal
dc.contributor.author Borges Lopes, Rui
dc.relation.ispartof Polish Journal of Management Studies
dc.identifier.issn 2081-7452 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 15
utb.relation.issue 1
dc.citation.spage 76
dc.citation.epage 87
dc.type article
dc.language.iso en
dc.publisher Czestochowa University of Technology
dc.identifier.doi 10.17512/pjms.2017.15.1.08
dc.relation.uri http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-a1b5f487-140d-4b5c-9ac3-9ead225b55e9
dc.subject logistics en
dc.subject production process en
dc.subject material flow analysis en
dc.subject simulation modelling en
dc.subject performance analysis en
dc.description.abstract This paper presents a comparative simulation model of several logistic systems and their impact on operational performance. It stresses the importance of logistic processes and their management in the context of lean production and the theory of constraints. The main goal of our experimental study is to prove how significantly supporting logistic processes can influence production process performance in situations where logistic management represents a system constraint. More specifically, our study considers the capacity of handling units, and their impact on material flow continuity and efficiency. The experimental model is based on real data that was acquired by the authors over the last several years during their research and practical experience. Our results are presented in the form of software statistics that were provided after the experiment and compared with the set hypotheses. The experimental study has shown that a managerial decision to increase the capacity of handling units does not always result in the expected behaviour pattern. © 2017, Czestochowa University of Technology. All rights reserved. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1007227
utb.identifier.obdid 43876579
utb.identifier.scopus 2-s2.0-85022018919
utb.identifier.wok 000404990100008
utb.source j-scopus
dc.date.accessioned 2017-09-03T21:40:03Z
dc.date.available 2017-09-03T21:40:03Z
dc.description.sponsorship RVO project "Modelling of effective production and administration processes parameters in industrial companies based on concept Industry 4.0"
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Hrušecká, Denisa
utb.contributor.internalauthor Pivnička, Michal
utb.fulltext.affiliation Hrušecká D., Pivnička M., Borges Lopes R. * Tomas Bata University in Zlín, Faculty of Management and Economics; Rui Borges Lopes, PhD., University of Aveiro, CIDMA / DEGEIT Corresponding author: hrusecka@fame.utb.cz; pivnicka@fame.utb.cz; rui.borges@ua.pt
utb.fulltext.dates Received March 3, 2017 Revised May 18, 2017 Accepted June 5, 2017
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Management and Economics, Czech Republic; University of Aveiro, CIDMA/ DEGEIT, Portugal
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
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