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dc.title | Dispatching policy evaluation for transport of ready mixed concrete | en |
dc.contributor.author | Weiszer, Michal | |
dc.contributor.author | Fedorko, Gabriel | |
dc.contributor.author | Molnár, Vieroslav | |
dc.contributor.author | Tučková, Zuzana | |
dc.contributor.author | Poliak, Miloš | |
dc.relation.ispartof | Open Engineering | |
dc.identifier.issn | 2391-5439 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.date.issued | 2020 | |
utb.relation.volume | 10 | |
utb.relation.issue | 1 | |
dc.citation.spage | 120 | |
dc.citation.epage | 128 | |
dc.type | article | |
dc.language.iso | en | |
dc.publisher | De Gruyter | |
dc.identifier.doi | 10.1515/eng-2020-0030 | |
dc.relation.uri | https://www.degruyter.com/view/journals/eng/10/1/article-p120.xml?tab_body=pdf-69320 | |
dc.subject | simulation | en |
dc.subject | ready mixed concrete | en |
dc.subject | construction | en |
dc.description.abstract | Process of ready mixed concrete (RMC) delivery is an example of multi-objective optimization due to the conflicting objectives of the parties involved. In order to face this problem, discrete event simulation model of the delivery process is created with input parameters based on the surveyed data of real processes. The model is simulated with different vehicle dispatching policies and the results are analysed focusing on performance indicators. The research results compared in terms of Pareto optimality indicate that employing effective dispatching strategies can reduce both site idle time and waiting time of vehicles. © 2020 M. Weiszer et al., published by De Gruyter 2020. | en |
utb.faculty | Faculty of Logistics and Crisis Management | |
dc.identifier.uri | http://hdl.handle.net/10563/1009624 | |
utb.identifier.obdid | 43881552 | |
utb.identifier.scopus | 2-s2.0-85081260373 | |
utb.identifier.wok | 000519200800001 | |
utb.identifier.coden | OEPNC | |
utb.source | j-scopus | |
dc.date.accessioned | 2020-03-26T10:44:54Z | |
dc.date.available | 2020-03-26T10:44:54Z | |
dc.description.sponsorship | VEGAVedecka grantova agentura MSVVaS SR a SAV (VEGA) [1/0600/20, 1/0403/18]; KEGA [012TUKE-4/2019, 013TUKE-4/2019]; APVVSlovak Research and Development Agency [SK-SRB-18-0053] | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.rights.access | openAccess | |
utb.contributor.internalauthor | Tučková, Zuzana | |
utb.fulltext.sponsorship | This work is a part of these projects VEGA 1/0600/20, VEGA 1/0403/18, KEGA 012TUKE-4/2019, KEGA 013TUKE-4/2019, APVV SK-SRB-18-0053. | |
utb.wos.affiliation | [Fedorko, Gabriel] Tech Univ Kosice, Fac Min Ecol Proc Control & Geotechnol, Letna 9, Kosice 04200, Slovakia; [Weiszer, Michal] Queen Mary Univ London, Sch Engn & Mat Sci, Mile End Rd, London E1 4NS, England; [Molnar, Vieroslav] Tech Univ Kosice, Fac Mfg Technol Seat Presov, Bayerova 1, Presov 08001, Slovakia; [Tuckova, Zuzana] Tomas Bata Univ Zlin, Fac Logist & Crisis Management, Nam TG Masaryka 5555, Zlin 76001, Czech Republic; [Poliak, Milos] Univ Zilina, Fac Operat & Econ Transport & Commun, Univ 8215-1, Zilina 01026, Slovakia | |
utb.scopus.affiliation | Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Košice, Letná 9, Košice, 042 00, Slovakia; School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, United Kingdom; Faculty of Manufacturing Technologies with A Seat in Prešov, Technical University of Košice, Bayerova 1, Prešov, 080 01, Slovakia; Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic; Faculty of Operation and Economics of Transport and Communications, University of Žilina, Univerzitná 8215/1, Žilina, 010 26, Slovakia | |
utb.fulltext.projects | VEGA 1/0600/20 | |
utb.fulltext.projects | VEGA 1/0403/18 | |
utb.fulltext.projects | KEGA 012TUKE-4/2019 | |
utb.fulltext.projects | KEGA 013TUKE-4/2019 | |
utb.fulltext.projects | APVV SK-SRB-18-0053 |