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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 |