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Algoritmization of the information concept of the complex logistic system

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dc.title Algoritmization of the information concept of the complex logistic system en
dc.contributor.author Bucki, Robert
dc.contributor.author Chramcov, Bronislav
dc.contributor.author Jašek, Roman
dc.relation.ispartof International Journal of Mathematics and Computers in Simulation
dc.identifier.issn 1998-0159 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2012
utb.relation.volume 6
utb.relation.issue 1
dc.citation.spage 127
dc.citation.epage 135
dc.type article
dc.language.iso en
dc.publisher North Atlantic University Union (NAUN) en
dc.relation.uri http://www.naun.org/multimedia/NAUN//mcs/17-571.pdf
dc.subject Heuristic algorithm en
dc.subject Logistic system en
dc.subject Manufacturing strategies en
dc.subject Mathematical modelling en
dc.subject Multistage process model en
dc.subject Optimization criteria en
dc.description.abstract The paper highlights the vital problem of information mathematical modelling of the logistic system. The complex system itself consists of identical parallel manufacturing subsystems in which there is a manufacturing route arranged in a series of stands. Each stand is equipped with a machine with the dedicated tool. There are interoperation buffer stores between subsequent production stands. After getting worn out, certain tools require regeneration. Used tools from the identical production stands share the same regeneration plant. Irreplaceable tools need to be exchanged for new ones. The replaceable tool can be regenerated a certain number of times. The production process is optimized by means of the stated criteria respecting defined bounds. There is a set of control approaches of which the most effective one is to be chosen in order to either maximize the production output or minimize the lost flow capacity or, finally, minimize the total tool replacement time. The logistic system is controlled by a determined heuristic algorithm. There are also given sub-line heuristic algorithms. Equations of state illustrate the flow of charge material and changes of the order vector elements. Manufacturing strategies allow us to decide which approach will be implemented. Moreover, optimization issues are discussed by means of introducing the multi-stage process model. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1002752
utb.identifier.rivid RIV/70883521:28140/12:43868019!RIV13-MSM-28140___
utb.identifier.obdid 43868110
utb.identifier.scopus 2-s2.0-84857287579
utb.source j-scopus
dc.date.accessioned 2012-03-19T11:41:54Z
dc.date.available 2012-03-19T11:41:54Z
utb.contributor.internalauthor Chramcov, Bronislav
utb.contributor.internalauthor Jašek, Roman
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