Scopus - Print - 14 (May...

Documents

Grincova, A.a , Andrejiova, M.b , Marasova, D.c

Measuring and comparative analysis of the interaction between the dynamic impact loading of the conveyor beltand the supporting system(2015) Measurement: Journal of the International Measurement Confederation, 59, pp. 184-191.

DOI: 10.1016/j.measurement.2014.09.032

a Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9Kosice, Slovakiab Faculty of Mechanical Engineering, Technical University of Kosice, Letna 9Kosice, Slovakiac Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, Park Komenskeho14Kosice, Slovakia

AbstractThe paper presents the results of experimental and regression analysis of dynamic effects and reactions in the systemconsisting of a conveyor belt and a supporting system with idlers and a conveyor belt without a supporting system. On thebasis of experimental measurements, regression models were created for conveyor belts with and without the supportingsystem. Created models describe the process of dynamic impact loading of the conveyor belt when the material falls downonto the conveyor belt in the idle regime. The main objective of the paper is to present the mathematical and statisticalapproaches to the conveyor belt quality assessment in terms of their impact resistance. The paper points out the possibleuses of regression models in practice in order to identify the basic technical parameters of transfer points in the operationalconditions, such as the drop height, falling material weight, and the supporting system. © 2014 Elsevier Ltd. All rightsreserved.

Author KeywordsBelt damage; Conveyor belt; Impact loading; Regression analysis; Supporting system

Index KeywordsComparative analysis, Conveyor belts, Dynamic impacts, Impact loadings, Supporting systems; Regression analysis

References

Turnbull, D.A game changer in mining. IPCC and continuous mining solution are set to gainmore ground(2013) Bulk Solids Handling, 33, pp. 16-18.

Drottboom, M.A rising global trend. New technological developments increase range of IPCCapplications(2013) Bulk Solids Handling, 33, pp. 22-26.

Saderova, J., Kacmary, P.Application of the simulation of a tank capacity proposal for loading and unloadingprocess of bulk material(2012) Acta Montanistica Slovaca, 17, pp. 143-150.

Bindzar, P.Designing conveying systems according to its logistics parameters(2010) Metalurgija, 49, p. 236.

Tomaskova, M.Risk assessment and quantification(2013) Safety Work in Practice, 3, pp. 1-9.

Scopus - Print - 14 (May 2015) http://www.scopus.com/citation/print.url?origin=resultslist&sid=8002...

1 z 29 27. 5. 2015 14:37

Gupta, A.Safety measures for reduction of failure safety measures for reduction of failure inbelt conveyor for thermal power plant(2013) Inter. J. Mech. Eng. Robot. Res., 2, pp. 214-220.

Köttegen, D.Zur frage der konstruktiven ausbildung von materialaufgabestellenmaterialaufgabestellen bei bandförderanlagen(1958) Braunkohle, Wärme Energie, 7 (8), pp. 158-162.

Lubrich, V.Die wirkung dynamischer kräfte beim aufprall des fördergurtes auf förderband(1959) Braumkohle, Wärme Energeie, 9. 344-250

Flebbe, H.Untersuchung von fördergurten auf ihre dynamische festigkeit(1982) Braumkohle, 34, pp. 186-191.

Ballhaus, H.Die Impulskräfte beim aufprall grobstückingen gutes auf den fördergut(1980) Braumkohle, 32, pp. 184-187.

Ballhaus, H.Stress and wear of conveyor belts by loading point impact(1983) Bulk Solids Handling, 3, pp. 347-353.

Hardygora, M., Golosinska, G.The influence of the belt support to the impact resistance of steel cord belling withdiffering cover thicknesses(1986) Bulk Solids Handling, 6, pp. 561-566.

Hardygora, M., Wachovwicz, J., Czaplicka, G., Kolarz, K., Markusik, S.(1999) Tas̈my Przenósnikowe, Wydawnictwa Naukowo-Techniczne

Molnar, V.Statistical approach for evaluation of pipe conveyor's belt contact forces on guideidlers(2013) Measurement, 46, pp. 3127-3135.

Fedorko, G.Failure analysis of textile rubber conveyor belt damaged by dynamic wear(2013) Eng. Fail. Anal., 28, pp. 103-114.

Marasova, D.Experimentálne určenie niektorých parametrov dopravného pásu(2001) Acta Montanistica Slovaca, 6, p. 4.

Bigos, P.Výpočtové a experimentálne metódy zvyšovania výkonnosti a posudzovaniaživotnosti pohonov a konštrukcií vybraných dopravných zariadení(2010) Košice,


2 z 29 27. 5. 2015 14:37

Andrejiova, M., Pavliskova, A.The linear regression model of conveyor belt life depending by some of itsparameters(2010) Transport Logist., 7, pp. 234-238.

Pavliskova, A., Andrejiova, M.Statistic evaluation of conveyor belt's lifespan using analysis of variance(2009) Transport Logist., 6, pp. 277-281.

Vierling, P.(1972) Zur Theorie der Bandförderung Continental - Transportband - Dienst 8.3, Auflage, Hannover

Maier, H.(1963) Vergleichende Untersuchung Beaufschlagungsverhaltens von GumifördergurtenBeim Senkrechten Aufprall Einer Einzelmasse, Disertation, Hannover

Komander, H.Tas̈my przenos̈nikowe odporne na przeciecia(1996) Prace Naukowe Instytutu Górnictwa Politechniki Wroclawskiej, 80.

Lihua, Z.Typical failure analysis and processing of belt conveyor(2011) Proce. Eng., 26, pp. 942-946.

Cun, G.Y., Gang, C., Kun, H., Fen, W.Z.Research on the idler spacing of belt conveyor(2012) Appl. Mech. Mater., 127, pp. 295-299.

Taraba, V.The methods of conveyor belt basic characteristics testing and special tests(2004) Transport Logist., 7, pp. 59-68.

Grincova, A.Testing methodology of conveyor belts at the puncture(2008) Transport Logist.,

Fedorko, G.Failure analysis of belt conveyor damage caused by the falling material. Part 1:Experimental measurements and regression models(2014) Eng. Fail. Anal., 36, pp. 30-38.

Grincova, A.Regression model creation based on experimental tests of conveyor belts againstbelt rips resistance(2009) Acta Montanistica Slovaca, 14, pp. 113-120.

Correspondence AddressGrincova A.; Faculty of Electrical Engineering and Informatics, Technical University of Kosice, Letna 9, Slovakia

Publisher: Elsevier

ISSN: 02632241CODEN: MSRMDLanguage of Original Document: EnglishAbbreviated Source Title: Meas J Int Meas Confed


3 z 29 27. 5. 2015 14:37

Document Type: ArticleSource: Scopus

Škrabuľáková, E.a , Marasová, D.b , Tomašková, M.c , Grendel, P.d

Identification of factors causing damage to conveyor belts during the transportation of coal(2014) Applied Mechanics and Materials, 683, pp. 130-134.

DOI: 10.4028/www.scientific.net/AMM.683.130

a Technical University of Košice, Institute of Control and Informatization of Production Processes, Boženy Němcovej 3Košice,Slovakiab Technical University of Košice, Ecology, Process Control and Geotechnology, Logistic institute of industry and transport,Park Komenského 14Košice, Slovakiac Technical University of Košice, Institute of Safety Quality and Enviromental Science, Letná 9Košice, Slovakiad GRENDEL autoškola, s.r.o, Trieda SNP 42/207Košice, Slovakia

AbstractThe paper deals with the identification of the factors that cause damages of conveyor belts at coal quarry. On the base ofstatistical processing of the data obtained from 4 open-pit mining sectors the most important factors causing time-outs areidentified. The cause-effect relation is demonstrated on the example of bipartite graph where the higher valence of eachout-vertex signalizes the greater im-portantce of the considered factor to cause shatter effects. In order to avert the negativeeffects, break-downs and increase the reliability of conveyor belts a monitoring system for these belts is proposed. © (2014)Trans Tech Publications, Switzerland.

Author KeywordsConveyor belts damage; Monitoring system; Open-pit mining

Index KeywordsBelt conveyors, Coal transportation, Conveyors, Cranes, Damage detection, Data handling, Graphtheory, Monitoring, Rope, Steel research; Bipartite graphs, Break down, Cause-effect, Conveyor belts, Monitoringsystem, Statistical processing, Time-outs; Open pit mining

References

Šaderová, J., Kačmáry, P.Application of the simulation of a tank capacity proposal for loading and unloadingprocess of bulk material(2012) Acta Montanistica Slovaca, 17 (3), pp. 143-150.

Lukáč, S.Transport logistic and its use in the design of an integrated transport system of rawmaterials(2011) Transport & logistics, 9, pp. 522-530.

Hardygóra, M., Wachovwicz, J., Czaplicka, G., Kolarz, K., Markusik, S.(1999), Conveyor Belts, Naukowo-Techniczne, (original in Polish)

Fedorko, G., Molnar, V., Grincova, A., Dovica, M., Toth, T., Husakova, N., Taraba, V.,Kelemen, M.Failure analysis of irreversible changes in the construction of rubber-textileconveyor belt damaged by sharp-edge material impact(2014) Engineering Failure Analysis, 39, pp. 135-148.

Andrejiová, M., Pavlisková, A.Analysis of regression model of functional dependency in impact force from heightand weight of ram for conveyor belt(2010) International journal of engineering, 8 (3), pp. 267-270.

Bigos, P., Kulka, J., Kubin, K., Mantic, M., Kopas, M.Professional verification of crane track beams in heavy metallurgical operation bymeans of tensometry


4 z 29 27. 5. 2015 14:37

(2009) Experimental stress analysis 2009, pp. 30-37. TU Liberec, Czech Republic, (original in Slovak)

Correspondence AddressSkrabulakova E.; Technical University of Košice, Institute of Control and Informatization of Production Processes, BoženyNěmcovej 3, Slovakia

Editors: Molnar V., Fedorko G., Molnar V., Fedorko G.Sponsors: APPLUS+ IDIADA; DEWETRON; Scientific.Net; Tomas Bata University in Zlin; Trans Tech Publications Inc.Publisher: Trans Tech Publications Ltd

Conference name: Conference on Research, Production and Use of Steel Ropes, Conveyors and Hoisting Machines,VVaPOL 2014Conference date: 23 September 2014 through 26 September 2014Conference code: 110749

ISSN: 16609336ISBN: 9783038353164; 9783038353164Language of Original Document: EnglishAbbreviated Source Title: Appl. Mech. Mater.Document Type: Conference PaperSource: Scopus

Andrejiová, M.a , Grinčová, A.b , Pavlisková, A.a

Mathematical model for determining the lifetime of conveyor belts depending on some selected parameters(2014) Applied Mechanics and Materials, 683, pp. 147-152.


a Technical University of Košice, Department of Applied Mathematics and Informatics, Letná 9Košice, Slovakiab Technical University of Košice, Department of Mathematics and Theoretical Informatics, Nemcovej 32Košice, Slovakia

AbstractIn the last years, belt conveyors belong to the most frequently used means of transport in various industries. The mostimportant component of the belt conveyor is the conveyor belt. Therefore, it is necessary to pay more attention also tooptimal lifetime of conveyor belts. Conveyor belt lifetime is a very complicated issue. It is affected by plenty of factors,including above all the quality structure of the belt conveyor, optimal construction, production, and properties of the conveyorbelt as such, adequate solution of conveyance route shifting, reasonable maintenance, and quality repairs of conveyor belts.The paper deals with the exploring the lifetime of conveyor belts depending from on some selected parameters obtained fromthe operating records of practice (thickness of paint layer, width and length of the belt, conveyor speed and quantity oftransported material) with using appropriate mathematical - statistical methods. © (2014) Trans Tech Publications,Switzerland.

Author KeywordsConveyor belt; Lifetime of conveyor belt; Regression model

Index KeywordsConveyors, Cranes, Materials handling equipment, Regression analysis, Rope, Steel research; Conveyor belts, Optimalconstruction, Paint layers, Regression model, Transported materials; Belt conveyors

References

Kulinowski, P.Simulation studies as the part of an integrated design process dealing with beltconveyor operation(2013) Maintenance and Reliability, 1, pp. 83-88.

Marasová, D., Taraba, V., Grujić, M., Fedorko, G., Bindzár, P., Husáková, N.(2006) Conveyor belt, Košice, (original in Slovak)

Taraba, V., Burget, M., Fedora, J., Husáková, N., Kaprálik, Z., Krasňan, J., Malindžák, D.,Štvrtecký, V.(2011) Rubber production technology of conveyor belts, Košice, (original in Slovak)


5 z 29 27. 5. 2015 14:37

Żur, T., Hardygóra, M.(1996) Przenośniki taśmowe w górnictwie, Śląsk Publishers, Katowice, original in Polish)

Štroffek, E., Boroška, J., Pinka, J., Hiklová, J., Marasová, D., Mikulica, P., Mikušek, F.(1995) Conveyor belts in industry, Košice, (original in Slovak)

Marasová, D.(2013) Mathematical and experimental support for belt conveyors, first ed., VŠBTechnical University of Ostrava, Ostrava

Fedorko, G., Molnár, V., Živčák, J., Dovica, M., Husáková, N.Failure analysis of textile rubber conveyor belt damaged by dynamic wear(2013) Engineering Failure Analysis, 28, pp. 103-114.

Mazurkiewicz, D.Analysis of the ageing impact on the strength of the adhesive sealed joints ofconveyor belts(2008) Journal of Materials Processing Technology, 208, pp. 477-485.

Molnár, V., Fedorko, G., Stehlíková, B., Kudelás, Ľ., Husáková, N.Statistical approach for evaluation of pipe conveyor’s belt contact forces on guideidlers(2013) Measurement, 46 (9), pp. 3127-3135.

Andrejiová, M., Marasová, D.Using the classical linear regression model in analysis of the dependences ofconveyor belt life(2013) Acta Montanistica Slovaca, 2, pp. 77-84.

Berežný, Š., Grinčová, A.Regression analysis of specific mathematical models obtained in the tests ofconveyor belts to disruptions(2010) Transport & Logistics Spec. issue, 7, pp. 296-308. (original in Slovak)

Marasová, D., Pavlisková, A.Lifetime estimation of conveyer belt(2004) Manufacturing engineering, 3, pp. 60-63. (original in Slovak)

Pavlisková, A.Deterministic strategies and life-time(2007) Acta Montanistica Slovaca, 3, pp. 265-269. (original in Slovak)

Bindzár, P., Malindžák, D.Number of conveyor belts optimization regarding to its type and logisticalparameters in mining industry(2008) Acta Montanistica Slovaca, 4, pp. 524-531. (original in Slovak)

Correspondence AddressAndrejiova M.; Technical University of Košice, Department of Applied Mathematics and Informatics, Letná 9, Slovakia


6 z 29 27. 5. 2015 14:37


Conference name: Conference on Research, Production and Use of Steel Ropes, Conveyors and Hoisting Machines,VVaPOL 2014Conference date: 23 September 2014 through 26 September 2014Conference code: 110749


Grinčová, A.a , Andrejiová, M.b , Grendel, P.c

Application the renewal theory to determining the models of the optimal lifetime for conveyor belts(2014) Applied Mechanics and Materials, 683, pp. 97-101.


a Technical University of Košice, Department of Mathematics and Theoretical Informatics, Nemcovej 32Košice, Slovakiab Technical University of Košice, Department of Applied Mathematics and Informatics, Letná 9Košice, Slovakiac Driving School Grendel, SOŠ Automobilová, Moldavská 2Kosice, Slovakia

AbstractBelt conveyance belongs to the continual transport systems characteristic with high-level conveying performances. Beltconveyors are of significant importance in the transportation of various types of materials in the industries like engineering,metallurgy and construction. The fundamental and the most expensive component of belt conveyors is the conveyor beltwhich is, during the operation on the belt conveyor, exposed to number of various loads that evoke the process of conveyorbelt wear and damage. Lifetime of conveyor belts, which is the determining parameter for the belt conveyance economy andefficiency, is very important for the practice. Issues regarding the conveyor belt lifetime should be solved applying also themethods of operation analysis, especially the linear programming and the renewal theory that uses the theory of probabilityand mathematic statistics. The objective of our research was to determine the optimal lifetime (optimal performance duration)of a belt conveyor, applying the renewal theory, whereas the research was based on the cost approach of the renewalprocess. © (2014) Trans Tech Publications, Switzerland.

Author KeywordsConveyor belt; Cost function; Optimal lifetime of conveyor belt; Renewal model

Index KeywordsAlgorithms, Conveying, Conveyors, Cost functions, Cranes, Linear programming, Materials handling, Materials handlingequipment, Random processes, Rope, Steel research; Conveyor belts, Mathematic statistics, Operation analysis, Optimalperformance, Renewal model, Renewal process, Renewal theory, Transport systems; Belt conveyors

References

Marasová, D., Taraba, V., Grujić, M., Fedorko, G., Bindzár, P., Fedorko, G., Bindzár, P.,Husáková, N.(2006), Conveyor belt, Košice, (original in Slovak)

Taraba, V., Burget, M., Fedora, J., Husáková, N., Kaprálik, Z., Krasňan, J., Malindžák, D.,Štvrtecký, V.(2011) Rubber production technology of conveyor belts, Ko&sacron;ice, (original in Slovak)

Marasová, D.(2013) Mathematical and experimental support for belt conveyors, first ed., VŠBTechnical University of Ostrava, Ostrava

Marasová, D., Pavlisková, A.(2004) Lifetime estimation of conveyer belt, 3, pp. 60-63. Výrobné inžinierstvo, (original in Slovak)


7 z 29 27. 5. 2015 14:37

Bindzár, P., Malindžák, D.Number of conveyor belts optimization regarding to its type and logisticalparameters in mining industry(2008) Acta Montanistica Slovaca, 4, pp. 524-531. (original in Slovak)

Żur, T., Hardygóra, M.(1996) Conveyor belts in mining, Śląsk Publishers, Katowice, (original in Polish)

Fedorko, G., Molnár, V., Živčák, J., Živčák, J., Dovica, M., Husáková, N.Failure analysis of textile rubber conveyor belt damaged by dynamic wear(2013) Engineering Failure Analysis, 28, pp. 103-114.

Lutyński, A.Service life of conveyor belts used in conveyors being in operation at coalpreparation plants(2004) Inzynieria Mineralna, 1, pp. 29-38.

Bugaric, U., Tanasijevic, M., Polovina, D., Ignjatovic, D., Jovancic, P.Lost production costs of the overburden excavation system caused by rubber beltfailure(2012) Eksploatacja i Niezawodnosc-Maintenance and Reliability, 14, pp. 333-341.

Pavlisková, A.Deterministic strategies and life-time(2007) Acta Montanistica Slovaca, 3, pp. 265-269. (original in Slovak)

Brezina, I., Ivaničová, Z., Pekár, J.Operations Research(2007) Iura Edition Bratislava, (original in Slovak)

Hiller, F.S., Lieberman, G.J.(2001) Introduction to operations research, McGraw-Hill, New York

Kaczmarska, B., Gierulski, W.Evaluating the level of technology development-a mathematical model(2013) Innovations in Management and Production Engineering, pp. 29-40. ed. R.Knosala, Opole, Poland

Unčovský, L.Stochastic models of operation analysis(1980) Alfa, Bratislava, (original in Slovak)

Correspondence AddressGrincova A.; Technical University of Košice, Department of Mathematics and Theoretical Informatics, Nemcovej 32, Slovakia


Conference name: Conference on Research, Production and Use of Steel Ropes, Conveyors and Hoisting Machines,


8 z 29 27. 5. 2015 14:37

VVaPOL 2014Conference date: 23 September 2014 through 26 September 2014Conference code: 110749


Andrejiová, M.a , Marasová, D.b

Using the classical linear regression model in analysis of the dependences of conveyor belt life(2013) Acta Montanistica Slovaca, 18 (2), pp. 77-84. Cited 1 time.

a Technical University of Košice, Department of Applied Mathematics and Informatics, Letná 9, Slovakiab Process Control and Geotechnologies, Technical University of Košice, Logistics Institute of Industry and Transport, ParkKomenského 14, Slovakia

AbstractThe paper deals with the classical linear regression model of the dependence of conveyor belt life on some selectedparameters: thickness of paint layer, width and length of the belt, conveyor speed and quantity of transported material. Thefirst part of the article is about regression model design, point and interval estimation of parameters, verification of statisticalsignificance of the model, and about the parameters of the proposed regression model. The second part of the article dealswith identification of influential and extreme values that can have an impact on estimation of regression model parameters.The third part focuses on assumptions of the classical regression model, i.e. on verification of independence assumptions,normality and homoscedasticity of residuals.

Author KeywordsConveyor belt; Influential and extreme values; Random model component; Regression model; Residuals

References

Andrejiová, M., Pavlisková, A.Analýza náhodnej zložky lineárneho regresného modelu závislosti životnostidopravného pásu od jeho niektorých parametrov(2010) Doprava a Logistika. 7. Mimoriadne Císlo, pp. 21-24. ISSN 1451-107X

Berežný, Š., Grinčová, A.Regresná analýza špecifických matematických modelov získaných pri skúškachdopravných pásov proti prierazu(2010) Doprava a Logistika 7. Mimoriadne Císlo, ISSN 1451-107X

Berežný, Š., Grinčová, A., Kudlác, M.Process optimatization of testing(2008) Trendy V Systémoch Riadenia Podnikov: 11. Medzinárodná VedeckáKonferencia, pp. 317-321. Košice, ISBN 978-80- 553-0115-0

Berežný, Š., Grinčová, A.Mathematical models of conveyor belts behavior(2009) Science Military, Liptovský Mikuláš, (1), pp. 5-9. ISSN 1336-8885

Grinčová, A., Berežný, Š., Marasová, D.Tvorba regresného modelu na základe experimentálnych skúšok dopravných pásovproti prierazu(2009) Acta Montanistica Slovaca, 14 (1), pp. 113-120.


9 z 29 27. 5. 2015 14:37

roč, ISSN 1335-1788

Grinčová, A., Berežný, Š.Possibilites of dynamic model creation for mobile equipment of conveyor belt withusing a statistical-mathematical model for some types of belts(2009) MOSATT, pp. 22-26. Košice, ISBN 978-80-970202-1-7

Hudec, O., Sisáková, J., Ratal'ová, A., Želinský, T.(2007) Štatistické Metódy V Ekonomických Vedách, p. 196. Košice, Elfa, s.r.o., 2007, ISBN 978-80-8086-059-2

Marasová, D.Experimentálne určenie niektorých parametrov dopravných pásov(2001) Acta Montanistica Slovaca, 6 (4), pp. 275-281. ISSN 1335-1788

Marasová, D., Taraba, V., Grujič, M., Fedorko, G., Bindzár, P., Husáková, N.Pásová doprava(2006) FBERG, p. 280. Košice, ISBN 80-8073-628-6

Pavlisková, A.Deterministic strategies and life-time(2007) Acta Montanistica Slovaca, 12 (3), pp. 265-269. ISSN 1335-1788

Pavlisková, A., Jadroňová, M.Využitie matematického modelu prevádzkových nákladov na výpočet životnostidopravných pásovVýrobné Inžinierstvo, 6.4, 5, pp. 61-62. 72, ISSN 1335-7972

Pavlisková, A., Jadroňová, M.Modely obnovy v pásovej doprave(2006) Doprava a Logistika, Mimoriadne Císlo, 5 (5). ISSN 1451-107X

Šoltés, E.Regresná a korelačná analýza s aplikáciami(2007) Bratislava, Iura Edition, p. 287. ISBN 978-80-8078-163-7

Correspondence AddressTechnical University of Košice, Department of Applied Mathematics and Informatics, Letná 9, Slovakia

ISSN: 13351788Language of Original Document: EnglishAbbreviated Source Title: Acta Montanistica SlovacaDocument Type: ArticleSource: Scopus

Vukićević, M.a , Kirchner, K.b , Delibašić, B.a , Jovanović, M.a , Ruhland, J.b , Suknović, M.a

Finding best algorithmic components for clustering microarray data(2013) Knowledge and Information Systems, 35 (1), pp. 111-130. Cited 2 times.


10 z 29 27. 5. 2015 14:37

DOI: 10.1007/s10115-012-0542-5

a Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, Belgrade, Serbiab Faculty of Economics and Business Administration, Friedrich Schiller University of Jena, Carl-Zeiß Straße 3, Jena,Germany

AbstractThe analysis of microarray data is fundamental to microbiology. Although clustering has long been realized as central to thediscovery of gene functions and disease diagnostic, researchers have found the construction of good algorithms asurprisingly difficult task. In this paper, we address this problem by using a component-based approach for clusteringalgorithm design, for class retrieval from microarray data. The idea is to break up existing algorithms into independentbuilding blocks for typical sub-problems, which are in turn reassembled in new ways to generate yet unexplored methods. Asa test, 432 algorithms were generated and evaluated on published microarray data sets. We found their top performers to bebetter than the original, component-providing ancestors and also competitive with a set of new algorithms recently proposed.Finally, we identified components that showed consistently good performance for clustering microarray data and that shouldbe considered in further development of clustering algorithms. © 2012 Springer-Verlag London Limited.

Author KeywordsBioinformatics; Clustering; Component-based algorithms; Microarray data

References

Ahmad, A., Dey, L.A k-mean clustering algorithm for mixed numeric and categorical data(2007) Data Knowl Eng, doi: 10. 1016/j. datak. 2007. 03. 016

Akaike, H.A new look at the statistical model identification(1974) IEEE Trans Autom Control, doi: 10. 1109/TAC. 1974. 1100705

Andreopoulos, B., An, A., Wang, X.A roadmap of clustering algorithms: finding a match for a biomedical application(2009) Br Bioinform, 10 (3), pp. 297-314.

Ankerst, M., Breunig, M., Kriegel, H.OPTICS: ordering points to identify the clustering structure(1999) In: Proceedings of the ACM SIGMOD'99 international conference on managementof data, pp. 9-60. Philadelphia

Arthur, D., Vassilvitskii, S.K-means++: the advantages of careful seeding(2007) In: Proceedings of the eighteenth annual ACM-SIAM symposium on discretealgorithms (SODA '07), society for industrial and applied mathematics, pp. 1027-1035. Philadelphia

Ayadi, W., Elloumi, M., Hao, J.K.BicFinder: A biclustering algorithm for microarray data analysis(2012) Knowl Inf Syst, 30, pp. 341-358. doi:10.1007/s10115-011-0383-7

Balachandran, V., Khemani, D.Interpretable and reconfigurable clustering of document datasets by derivingword-based rules(2011) Knowl Inf Syst, doi: 10. 1007/s10115-011-0446-9


11 z 29 27. 5. 2015 14:37

Baralis, E., Bruno, G., Flori, A.Measuring gene similarity by means of the classification distance(2011) Knowl Inf Syst, 29, pp. 81-101. doi:10.1007/s10115-010-0374-0

Baya, A.E., Granitto, P.M.Clustering gene expression data with a penalized graph-based metric(2011) BMC Bioinf, 12, pp. 1-18.

Bezdek, J.C.(1981) Pattern Recognition With Fuzzy Objective Function Algorithms, New York: Plenum Press

Belacel, N., Wang, Q., Cuperlovic-Culf, M.Clustering methods for microarray gene expression data(2006) OMICS J Integr Biol, 10 (4), pp. 507-531. doi:10.1089/omi.2006.10.507

Bonchi, F., Gionis, A., Ukkonen, A.Overlapping correlation clustering(2011) In: Proceedings of 11th IEEE international conference on data mining(ICDM), pp. 51-60. doi: 10. 1109/ICDM. 2011. 114

Bottou, L., Bengio, Y.Convergence properties of the k-means algorithms(1995) Advances in Neural Information Processing Systems 7, pp. 585-592. G. Tesauro and D. Touretzky (Eds.), Cambridge: MIT Press

Chen, C.-L., Tseng, F.S.C.An integration of WordNet and fuzzy association rule mining for multi-labeldocument clustering(2010) Data Knowl Eng, 69 (11), pp. 1208-1226. doi: j. datak. 2010. 08. 003

Cheung, Y.k*-means: A new generalized k-means clustering algorithm(2003) Pattern Recognit Lett, 24 (15), pp. 2883-2893. doi:10.1016/S0167-8655(03)00146-6

Da Silva, A., Chiky, R., Hébrail, G.A clustering approach for sampling data streams in sensor networks(2011) Knowl Inf Syst, doi: 10. 1007/s10115-011-0448-7

Dang, H.-X., Bailey, J.A hierarchical information theoretic technique for the discovery of non linearalternative clusterings(2010) In: Proceedings of the 16th ACM SIGKDD international conference on knowledgediscovery and data mining (KDD) 2010, pp. 573-582.

De Bie, T.An information theoretic framework for data mining(2011) In: Proceedings of the 17th ACM SIGKDD international conference on knowledgediscovery and data mining (KDD) 2011, pp. 564-572.


12 z 29 27. 5. 2015 14:37

de Souto, M.C.P., Prudencio, R.B.C., Soares, R.G.F.Ranking and selecting clustering algorithms using a meta-learning approach(2008) In: Proceedings of the IEEE international joint conference on neuralnetworks, pp. 3729-3735. doi: 10. 1109/IJCNN. 2008. 4634333

Delibašić, B., Kirchner, K., Ruhland, J.Reusable components for partitioning clustering algorithms(2009) Artif Intell Rev, 32, pp. 59-75. doi:10.1007/s10462-009-9133-6

Dembélé, D., Kastner, P.Fuzzy C-means method for clustering microarray data(2003) Bioinformatics, 19, pp. 973-980.

Dhiraj, K., Rath, S.K.Gene expression analysis using clustering(2009) In: Proceedings of 3rd international conference on bioinformatics and, biomedicalengineering, pp. 154-163.

Ding, C., He, X.Principal component analysis and effective k-means clustering(2004) In: Proceedings of the SIAM international conference on data mining, pp. 497-502.

Ene, A., Im, S., Moseley, B.Fast clustering using MapReduce(2011) In: Proceedings of the 17th ACM SIGKDD international conference on knowledgediscovery and data mining (KDD) 2011, pp. 681-689.

Ester, M., Kriegel, H., Sander, J.A density-based algorithm for discovering clusters in large spatial databases withnoise(1996) In: Proceedings of the 2nd international conference on knowledge discovery anddata mining, pp. 226-231.

Forestier, G., Gançarski, P., Wemmert, C.Collaborative clustering with background knowledge(2010) Data Knowl Eng, 69 (2), pp. 211-228. doi:10.1016/j.datak.2009.10.004

Geraci, F., Leoncini, M., Montangero, M.K-boost: A scalable algorithm for high-quality clustering of microarray geneexpression data(2009) J Comput Biol J Comput Mol Cell Biol, 16 (6), pp. 859-873. doi:10.1089/cmb.2008.0201

Giancarlo, R., Utro, F.Speeding up the consensus clustering methodology for microarray data analysis(2011) Algorithms Mol Biol AMB, 6 (1). doi: 10. 1186/1748-7188-6-1

Giancarlo, R., Lo Bosco, G., Pinello, L.Distance functions, clustering algorithms and microarray data analysis(2010) Learning and intelligent, optimization, 6073, pp. 125-138.


13 z 29 27. 5. 2015 14:37

In: Blum C, Battiti R (eds)

Grujic, M., Andrejiová, M., Marasová, D.Using principal components analysis and clustering analysis to assess the similaritybetween conveyor belts(2012) Tech Technol Educ Manag TTEM, 7 (1), pp. 4-10.

Hamerly, G., Elkan, C.Learning the k in k-means(2003) In: Proceedings of the neural information processing systems, 17.

Hartigan, J.A.(1975) Clustering Algorithms. Probability and Mathematical Statistics, New York: Wiley

Hartigan, J.A., Wong, M.A.A K-means clustering algorithm(1979) Appl Stat, 28, pp. 100-108.

Iam-On, N., Boongoen, T., Garrett, S.LCE: A link-based cluster ensemble method for improved gene expression dataanalysis(2010) Bioinformatics, 26, pp. 1513-1519.

Jovanović, M., Delibašić, B., Vukićević, M.Optimizing performance of decision tree component-based algorithms usingevolutionary algorithms in Rapid Miner(2011) In: Proceedings of the 2nd RapidMiner community meeting and conference, Dublin,

Kaufman, L., Rousseeuw, P.(1990) Finding groups in data: An introduction to cluster analysis, Wiley, New York

Kumar, P., Wasan, S.K.Comparative analysis of k-mean based algorithms(2010) Intl J Comput Sci Netw Secur, 10 (4), pp. 314-318.

Kalogeratos, A., Likas, A.Document clustering using synthetic cluster prototypes(2011) Data Knowl Eng, 70 (3), pp. 284-306. doi:j.datak.2010.12.002

Lloyd, S.Least squares quantization in PCM(1982) IEEE Trans Inf Theory, 28 (2), pp. 129-137. doi:10.1109/TIT.1982.1056489

Milligan, G.W., Cooper, M.C.Methodology review: clustering methods(1987) Appl Psychol Meas, 11 (4), pp. 329-354. doi:10.1177/014662168701100401

Milovanović, M., Minović, M., Štavljanin, V.Wiki as a corporate learning tool: case study for software development company(2012) Behav Inf Technol,


14 z 29 27. 5. 2015 14:37

doi: 10. 1080/0144929X. 2011. 642894

Minović, M., Milovanović, M., Kovačević, I., Minović, J., Starčević, D.Game design as a learning tool for the course of computer Networks(2011) Intern J Eng Educ, 27 (3), pp. 498-508.

Moise, G., Zimek, A., Kröger, P.Subspace and projected clustering: experimental evaluation and analysis(2009) Knowl Inf Syst, 21 (3), pp. 299-326. doi:10.1007/s10115-009-0226-y

Monti, S., Tamayo, P., Mesirov, J.Consensus clustering: A resampling-based method for class discovery andvisualization of gene expression microarray data(2003) Mach Learn, 52, pp. 91-118. doi:10.1023/A:1023949509487

Nascimento, A., Prudencio, R., de Souto, M.Mining rules for the automatic selection process of clustering methods applied tocancer gene expression data(2009) In: Proceedings of the 19th international conference on artificial neural networks:Part II, Springer, Berlin

Nascimento, M.C.V., Toledo, F.M.B., Carvalho, A.Investigation of a new GRASP-based clustering algorithm applied to biological data(2010) Comput Oper Res, 37 (8), pp. 1381-1388. doi:10.1016/j.cor.2009.02.014

Pelleg, D., Moore, A.X-means: extending K-means with efficient estimation of the number of clusters(2000) In: Proceedings of the seventeenth international conference on machine learning,vol 17, Morgan Kaufmann, Los Altos, pp. 727-734.

Piatetsky-Shapiro, G., Tamayo, P.Microarray data mining: facing the challenges(2003) ACM SIGKDD Explor Newsl, 5 (2), pp. 1-5. doi:10.1145/980972.980974

Punera, K., Ghosh, J.Consensus-based ensembles of soft clusterings(2008) Appl Artif Intell, 22, pp. 780-810.

Pirim, H., Gautam, D., Bhowmik, T.Performance of an ensemble clustering on biological datasets(2011) Math Comput Appl, 16 (1), pp. 87-96.

Quackenbush, J.Computational analysis of microarray data(2001) Nat Rev Genet, 2, pp. 418-427.

Raczynski, L., Wozniak, K., Rubel, T., Zaremba, K.Application of density based clustering to microarray data analysis(2010) Int J Electron Telecommun, 56 (3), pp. 281-286.


15 z 29 27. 5. 2015 14:37

Romero, C., Ventura, S.Educational data mining: A review of the state-of-the-art(2011) IEEE Trans Syst Man Cybern C Appl Rev, 40 (6), pp. 601-618.

Rousseeuw, P.J.Silhouettes: A graphical aid to the interpretation and validation of cluster analysis(1987) J Comput Appl Math, 20, pp. 53-65. doi:10.1016/0377-0427(87)90125-7

Savoiu, G., Jaško, O., Čudanov, M.Diversity of specific quantitative, statistical and social methods, techniques andmanagement models in management system(2010) Management, 14 (52), pp. 5-13.

Sander, J., Ester, M., Kriegel, H.Density-based clustering in spatial databases: the algorithm GDBSCAN and itsapplications(1998) Data Min Knowl Disc, 2 (2), pp. 169-194.

Schwarz, G.Estimating the dimension of a model(1978) Ann Stat, 6 (2), pp. 461-464.

Shao, J., Plant, C., Yang, Q., Böhm, C.Detection of arbitrarily oriented synchronized clusters in high-dimensional data(2011) In: Proceedings of 11th IEEE international conference on data mining(ICDM), pp. 607-616. doi: 10. 1109/ICDM. 2011. 50

Shaham, E., Sarne, D., Ben-Moshe, B.Sleeved co-clustering of lagged data(2011) Knowl Inf Syst, doi: 10. 1007/s10115-011-0420-6

Sedlak, O., Kocic-Vugdelija, V., Kudumovic, M.Management of family farms-Implementation of fuzzy method in short-term planning(2010) Tech Technol Educ Manag TTEM, 5 (4), pp. 710-718.

Smith-Miles, K.Towards insightful algorithm selection for optimization using meta-learningconcepts(2008) In: Proceedings of the IEEE international joint conference on neuralnetworks, pp. 4118-4124.

Sonnenburg, S., Braun, M., Ong, C.S.The need for open source software in machine learning(2007) J Mach Learn Res, 8, pp. 2443-2466.

Thalamuthu, A., Mukhopadhyay, I., Zheng, X.Evaluation and comparison of gene clustering methods in microarray analysis(2006) Bioinformatics, 22, pp. 2405-2412.

Vinh, N.X.Information theoretic measures for clusterings comparison: variants, properties,normalization and correction for chance


16 z 29 27. 5. 2015 14:37

(2010) J Mach Learn Res, 11, pp. 2837-2854.

Vukicevic, M., Delibasic, B., Jovanovic, M., Suknovic, M., Obradovic, Z.Internal evaluation measures as proxies for external indices in clustering geneexpression data(2011) In: Proceedings of the 2011 IEEE international conference on bioinformatics andbiomedicine (BIBM11), Atlanta, 12-15 Nov

Wan, M., Jönsson, A., Wang, C., Li, L., Yang, Y.Web user clustering and web prefetching using random indexing with weightfunctions(2011) Knowl Inf Syst, doi: 10. 1007/s10115-011-0453-x

Wijaya, A., Kalousis, M., Hilario, M.Predicting classifier performance using data set descriptors and data miningontology(2010) In: Proceedings of the 3rd planning to learn workshop,

Wu, L.F., Hughes, T.R., Davierwala, A.P.Large-scale prediction of Saccharomyces cerevisiae gene function usingoverlapping transcriptional clusters(2002) Nat Genet, 31, pp. 255-265.

Wu, X., Kumar, V., Quinlan, J.R.Top 10 algorithms in data mining(2007) Knowl Inf Syst, 14 (1), pp. 1-37. doi:10.1007/s10115-007-0114-2

Xie, X.L., Beni, G.A validity measure for fuzzy clustering(1991) IEEE Trans Patt Anal Mach Intell, 13 (8), pp. 841-847.

Xu, R., Wunsch, D.C.Clustering algorithms in biomedical research: A review(2010) IEEE Rev Biomed Eng, 3, pp. 120-154. doi:10.1109/RBME.2010.2083647

Yan, Y., Chen, L., Tjhi, W.-C.Semi-supervised fuzzy co-clustering algorithm for document classification(2011) Knowl Inf Syst, doi: 10. 1007/s10115-011-0454-9

Yu, Z., Wong, H.-S., Wang, H.Graph-based consensus clustering for class discovery from gene expression data(2007) Bioinformatics, 23, pp. 2888-2896.

Correspondence AddressVukicevic M.; Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, Belgrade, Serbia; email:[email protected]

ISSN: 02191377Language of Original Document: EnglishAbbreviated Source Title: Knowl. Inf. Systems. Syst.Document Type: Article


17 z 29 27. 5. 2015 14:37

Source: Scopus

Fedorko, G.a , Ivančo, V.b

Analysis of force ratios in conveyor belt of classic belt conveyor(2012) Procedia Engineering, 48, pp. 123-128. Cited 6 times.

DOI: 10.1016/j.proeng.2012.09.494

a Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, Park Komenskeho 14, 04200 Kosice, Slovakiab Faculty of Mechanical Engineering, Technical University of Kosice, Letna 9, 042 00 Kosice, Slovakia

AbstractThe article deals with analysis of force conditions in a belt of classic belt conveyor by FEA. Analysis determines rolls contactforces acting on the belt at idler station. © 2012 Published by Elsevier Ltd.

Author KeywordsAnalysis; Belt conveyor; Conveyor belt

References

Valentova, H.Mechanical and ultrasound properties of conveyor belt rubbers(2011) SGEM2011 Conference Proceedings, 2011, pp. 839-844.

Harrison, A.Modelling belt tension around a drive drum(1998) Bulk Solids Handling, 18 (1), pp. 75-79.

Hatala, J., Maras, M.Application of the method finite elements by numerical modeling stress-strain statein conveyor belts(1997) Acta Montanistica Slovaca, 2, pp. 101-108.

Mazurkiewicz, D.Analysis of the ageing impact on the strength of the adhesive sealed joints ofconveyor belts(2008) Journal of Materials Processing Technology, 208, pp. 477-485.

He, Q., Dong, D.Q., He, Z.R., Ju, J.J.A new computer aided design system of belt conveyor(2010) Advanced Materials Research 97-101, pp. 3667-3670.

Nuttall, A.J.G., Lodewijks, G., Klein Breteler, A.J.Modelling rolling contact phenomena in a pouch belt conveyor system(2006) Wear, 260, pp. 1081-1089.

Molnár, V.(2011) Optimally Suspended Pipe Conveyor, pp. 531-535. Doprava a logistika

Molnár, V., Michalik, P.(2011) Design Experiences of Pipe Conveyors, pp. 542-546. Doprava a logistika

Michalik, P., Zajac, J.Using of computer integrated system for static tests of pipe conveyer belts(2012) Proceedings of the 13th International Carpathian Control Conference, pp. 480-485.


18 z 29 27. 5. 2015 14:37

Marasová, D., Husáková, N., Boroška, J., Strakoš, V., Lukáč, S.(2009) Vnútropodniková Doprava v t'Ažobnom Priemysle, p. 201. TU Košice

Taraba, V., Burget, M., Fedora, J., Husáková, N., Kaprálik, Z., Krasňan, J., Malindžák, D.,Štvrtecký, V.Gumárenské technológie výroby dopravných pásov príručka výroby a použitiadopravných pásov značky Matador(2011) TU Košice, p. 106.

Conveyor Belt Design Manual: Bridgestone Corporation Manual, International Industrial Products Department, Japan

Correspondence AddressFedorko G.; Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Kosice, ParkKomenskeho 14, 042 00 Kosice, Slovakia; email: [email protected]

Sponsors: Henan Polytechnic University; Hebei United University

Conference name: 5th International Conference on Modelling of Mechanical and Mechatronic Systems, MMaMS 2012Conference date: 6 November 2012 through 8 November 2012Conference location: Zemplinska Sirava

ISSN: 18777058Language of Original Document: EnglishAbbreviated Source Title: Procedia Eng.Document Type: Conference PaperSource: Scopus

Grujic, M.a , Andrejiová, M.b , Marasová, D.c , Pavlisková, A.b , Taraba, V.d , Grendel, P.c

Using principal components analysis and clustering analysis to assess the similarity between conveyor belts(2012) Technics Technologies Education Management, 7 (1), pp. 4-10. Cited 2 times.

a Faculty of Mining and Geology, University of Belgrade, Department for Mine Haulage and Hoisting, Serbiab Faculty of Mechanical Engineering, Technical University of Košice, Department of Applied Mathematics and Informatics,Košice, Slovakiac Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Logistics Institute ofIndustry and Transport, Košice, Slovakiad Continental matador Rubber, Púchov, Slovakia

AbstractThe article deals with the evaluation parameters of conveyor belts using multivariate statistical methods. The first partanalyzes selected parameters (variables) of conveyor belts through the method of principal components analysis (PCA). Thesecond part of the article uses cluster analysis to group monitored conveyor belts into clusters with similar characteristics.

Author KeywordsCluster analysis; Parameters of the conveyor belt; Principal components analysis

References

Everitt, B.S., Landau, S., Leese, M.(2001) Cluster Analysis, p. 237. Wiley, London

Fedorko, G., Molnar, V., Weiszer, M., Palla, P.Approches to the solution of belt transportation information system(2010) Journal Transport and Logistics, pp. 41-46. No 19/10, Belgrade


19 z 29 27. 5. 2015 14:37

Grujić, M.General problems in the modernization of mine conveyance(2008) Journal Transport and Logistics, pp. 1-7. No 15/08, Belgrade

Hebák, P.(2007) Multidimensional Statistical Methods 3 (in Czech), p. 271. Informatorium, Praha

Jollife, I.(2001) Principal Component Analysis, p. 487. Springer - Verlag, New York

Marásová, D., Taraba, V., Grujić, M., Fedorko, G., Bindzár, P., Husáková, N.(2006) Belt Transport (in Slovak), p. 274. FBERG, Košice

Meloun, M., Militký, J.(2005) Computer Analysis of Multidimensional Data In the Examples (in Czech), p. 982. Academia, Praha

Meloun, M., Militký, J.(2006) Compendium of Statistical Data Processing (in Czech), p. 982. Academia, Praha

Pavlisková, A.(2008) Using Mathematical Models to Determine the Life of Conveyor Belts (inSlovak), p. 93. PhD thesis, Košice

Řezanková, H.(2009) Clusters Analysis of Data (in Czech), p. 218. PB, Praha

Stankovičová, I., Vojtková, M.(2007) Multivariate Statistical Methods With Application (in Slovak), p. 261. Iura Edition, Bratislava

Correspondence AddressGrujic M.; Faculty of Mining and Geology, University of Belgrade, Department for Mine Haulage and Hoisting, Belgrade,Serbia; email: [email protected]

ISSN: 18401503Language of Original Document: EnglishAbbreviated Source Title: Tech. Technol. Educ. Manage.Document Type: ArticleSource: Scopus

Husáková, N., Gurecka, J., Kubala, D.Logistics of crisis situation and its application by transport safety examination(2012) Congress Proceedings - CLC 2012: Carpathian Logistics Congress, pp. 271-275.

Technical University in KosiceKosice, Slovakia

AbstractThe base of logistics of crisis situation forms crisis planning which deals not only with the preparation and creation of forcesand means for elimination of crisis situations results but also with analysis of risks, prevention, material flow control, financing


20 z 29 27. 5. 2015 14:37

and personal constitution of correct, prompt and quick operation of logistical system in order to minimization ofconsequences of different crisis situations. The article is aimed at the application of logistics of crisis situation as risks controlof selected types of internal and external enterprise transport.

Author KeywordsCrisis; Crisis situation; Logistics; Transport

Index KeywordsRisk analysis, Risk assessment; Crisis, Crisis planning, Crisis situations, ITS applications, Logistical systems, Material flowcontrol, Transport, Transport safety; Logistics

Funding DetailsMOE, Ministry of Education

References

Marasová, D., Taraba, V.Fordergurt ecotubelt ind seinde verwendung in der praxis (komunikat)(1996) Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej: SeriaKonferencje, (80), pp. 187-192. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 1996

Grujić, M., Andrejiová, M., Marasová, D., Pavlisková, A., Taraba, V., Grendel, P.Using principal components analysis and clustering analysis to assess the similaritybetween conveyor belts(2012) TTEM Journal: Technics Technologies Education Management, 7 (1), pp. 4-10.

Novák, L., Dvorák, Z.(2005) Krízové Plánovanie, Žilinská univerzita

Šebo, D., Knežo, D., Jadronová, M.The Theory of Risk and its Application on Environmet, 31, pp. 673-677. Savetovanje proizvodnog mašinstva Srbije i Crne Gore sa medunarodnim učešcem,Zbornik radova: Kragujevac, 19.-21. september 2006. Kragujevac: Univerzitet uKragujevcu, 2006

Senová, A., Slaninová, P., Weiss, E.Evaluation of risk by point method for selected carrer in mining industry(2008) Acta Montanistica Slovaca, 13 (2), pp. 278-284. (2008), Available from

Marasová, D., Taraba, V., Grendel, P.Legislatíva a jej požiadavky na bezpečnost tunelov(2010) Acta Montanistica Slovaca, 15 (1), pp. 9-13. mimoriadne, (2010), Available from

Straka, M.(2011) Distribučná Logistika V Príkladoch, Technická univerzita v Košicích

Sponsors:Publisher: TANGER Ltd.

Conference name: Carpathian Logistics Congress, CLC 2012Conference date: 7 November 2012 through 9 November 2012Conference code: 111467

ISBN: 9788087294369Language of Original Document: English


21 z 29 27. 5. 2015 14:37

Abbreviated Source Title: Congr. Proc. - CLC: Carpathian Logist. Congr.Document Type: Conference PaperSource: Scopus

Rosová, A.Proposal for a performance evaluation of company procurement logistics(2012) Congress Proceedings - CLC 2012: Carpathian Logistics Congress, pp. 604-611.

Technical University of KosiceKosice, Slovakia

AbstractMeasuring and assessing of logistics performance are considered company operations and activities to be providedespecially objectively, timely, precise information about the different logistics processes, so that the logistics processes canbe under control in order to specified fulfilment targets and logistics requirements. The performance of the logistics processdirectly influences overall performance of the logistics company and measure and evaluate the performance of the logisticssystem of the company should gradually become part of management and of logistics performance should be measuredconstantly. Company manager in collaboration with the logistics department or controlling department should formulate theirdecisions based on timely, accurate, objective and complete information. It depends on these quality received managementdecisions and the future of the company as such. That analysis and related performance evaluation of logistics system obtainthis type of information. Thanks to these we can evaluate past, present and expected future performance of companylogistics system. The future of company is also related to today's rapidly changing business environment. For company isvery difficult to maintain long-term competitive advantage that it guarantees a higher efficiency. For its sustainability thereforenot enough efforts to its permanent increase and it is essential to monitoring, continuous evaluation. Procurement logistics isan integral part of company logistics. Procurement filling can be characterized by a series of interrelated functions thatrequire the information equipment and use of a large number of synthetic and analytical methods that are used to create aprocurement tools, to its control, standardization and under.

Author KeywordsCompany; Evaluation; Performance; Procurement logistics; Proposal

Index KeywordsCompetition, Industry, Process control, Supply chains, Sustainable development; Changing businessenvironment, Competitive advantage, Complete information, Evaluation, Logistics department, Managementdecisions, Performance, Proposal; Logistics

References

Rosová, A.(2010) Controlling a Logistika Priemyselného Podniku II, Košice: Dekanát - Edičné stredisko

Malindžáková, M.Significance evaluation of environmental aspects(2011) Communications, 13 (3), pp. 48-51.

Rosová, A., Pribulová, A., Baricová, D., Fedorko, G.Dekompozícia logistického systému podniku systémovou analýzou(2012) Logistický Monitor, pp. 1-15. June 2012

Rosová, A.Sústava ukazovatelov distribučnej logistiky, logistiky dopravy a materiálového tokuako jeden z nástrojov controllingu v logistike podniku(2010) Acta Montanistica Slovaca, 15, pp. 67-72.

Pribulová, A., Šaderová, J., Fedorko, G.Model materiálového toku procesu úpravy a spracovania nerastnej suroviny(2012) Logistický Monitor, pp. 1-7. April 2012


22 z 29 27. 5. 2015 14:37

Bindzár, P., Ižolová, J., Balog, M.Návrh koncepcie mestskej logistiky s využitím prvkov ids s aplikáciou na mestonitra(2010) Acta Montanistica Slovaca, 15, pp. 73-81.

Bártová, P., Kampf, R.Možnosti uplatnení CBA analýzy v dopravním inženýrstv(2008) Doprava, (6), pp. 16-18.

Rosová, A.Logistics costs of the company(2007) Acta Montanistica Slovaca, 12 (2), pp. 121-127.

Kačmáry, P., Malindžák, D.Prognózovanie obchodu a výroby v dynamicky sa meniacich podmienkach trhu(2010) Acta Montanistica Slovaca, 15, pp. 53-60.

Marasová, D., Taraba, V., Grendel, P.Legislatíva a jej požiadavky na bezpečnost tunelov(2010) Acta Montanistica Slovaca, 15, pp. 9-13.

Balog, M., Straka, M.Logistika informačných systémov(2005) Epos, Košice,

Correspondence AddressRosova A.; Technical University of KosiceSlovakia



ISBN: 9788087294369Language of Original Document: EnglishAbbreviated Source Title: Congr. Proc. - CLC: Carpathian Logist. Congr.Document Type: Conference PaperSource: Scopus

Šaderová, J., Bindzár, P.Definition of logistics activities during building of a concreting plant(2012) Congress Proceedings - CLC 2012: Carpathian Logistics Congress, pp. 668-674.


AbstractIn this paper is the analysis of the mixing plant construction project which includes the structure of the project schedule, theapplication MS Project using and risks of project. There are defined logistics activities under the project based on theanalysis.

Author KeywordsConstruction of concrete plant; Logistics activities; Project planning

Index KeywordsConcrete plants, Mixing plants, MS-project, Project planning, Project schedules, Project-based; Risk assessment

References

Čarnoka, V.


23 z 29 27. 5. 2015 14:37

Návrh realizácie projektu racionalizáciou logistických činnost(2012) Diplomová Práca, FBERG. Košice

PROJEKTOVÝ MANAŽMENT, [online], [cit. 2012-06-19]. Dostupné z internetu

INTERNÉ MATERIÁLY FIRMY

Malindžák, D., Straka, M., Helo, P., Takala, J.The methodology for the logistics system simulation model design(2010) Metalurgija, 49 (4), pp. 348-352.

Rosová, A., Pribulová, A., Baricová, D., Fedorko, G.Dekompozícia logistického systému podniku systémovou analýzou(2012) Logistický Monitor, pp. 1-15. Jún 2012

Rosová, A.Logistické náklady podniku = logistics costs of the enterprise(2007) Acta Montanistica Slovaca, 12 (2), pp. 121-127. Roč

Lampa, M., Samolejova, A., Roznovsky, L.Optimizing of pallet metallurgical products layout on truck loading spaceMETAL 2011: 20th Anniversary International Conference Conference on Metallurgy andMaterials, pp. 1355-1361. Brno, Czech Republic P

Marasová, D., Taraba, V., Grendel, P.Legislatíva a jej požiadavky na bezpečnos(2010) Acta Montanistica Slovaca, mimoriadne, 15 (1), pp. 9-13. Roč

Kačmáry, P., Malindžák, D.Prognózovanie obchodu a výroby v dynamicky sa meniacich podmienkach rhu(2010) Acta Montanistica Slovaca, mimoriadne, 15 (1), pp. 53-60. Roč




Rosová, A., Balog, M.Traditional and modern methods and approaches to the evaluation of company performance(2012) Congress Proceedings - CLC 2012: Carpathian Logistics Congress, pp. 612-619.



24 z 29 27. 5. 2015 14:37

AbstractTraditional methods and approaches to the evaluation of company performance are fundamental deficiencies in the fact thatprovide only a retrospective view of the company's competitive position that existed at some point in the past. Theseanalyses are both static and outdated, but in addition also incomplete. Traditional financial indicators do not tell anything,why the overall results are as they are, or that the companýs areas must be improve in order to company closer to fulfilmentits own strategic objectives. Therefore it is necessary to complement classical financial indicators of a series of moredynamic, non-financial indicators, adapted to specific conditions of competition. At present implementing new approaches tothe evaluation company performance, which do in the traditional system, but it added of other aspects. The modern methodscompany management is possible to imagine that we are talking about the logistics approach to managing a company wherecompany can be understood as a system of flows (information, material and financial) and chains (purchase - production -sale and the resulting triads logistics processes) is an attempt evaluate the performance of the company, i.e. performance ofthe company logistics system using non-financial indicators. The modern method of evaluation company logisticsperformance is based on the assumption that the company is efficient if they are able to achieve predefined strategic goals.

Author KeywordsCompany; Evaluation; Logistics system; Methods; Performance

Index KeywordsFinance, Industry, Information management; Competitive position, Evaluation, Logistics system, Managing acompanies, Methods, Performance, Strategic objectives, Traditional systems; Logistics

References

Lesáková, L.Metódy hodnotenia malých a stredných podnikov(2004) Banská Bystrica: UMB, EF V Banskej Bystrici,

Šiška, L., Matýska, M.Progresivní nástroje merení výkonnosti podniku(2007) Vývojové Tendence Podniku III: Specifický Výzkum Katedry PodnikovéhoHospodárství Svazek II, pp. 753-884. [eds. Ladislav Blažek.] Brno: Masarykova univerzita

Gavurová, B., Delina, R.Prístupy k meraniu a riadeniu výkonnosti a ich aplikačné možnosti v podnikoch(2010) Ekonomika a Manažment Podniku,

Kuffnerová, A.Reinžiniering ako nástroj podnikovej stratégie(2002) Management Pro 21, pp. 118-122. století. Praha: VŠCHT

Nenadál, J.(2004) Merení V Systémech Managementu Jakosti, p. 335. Praha: Management Press

Závadský, J.Teoretické východiská riadenia výkonnosti podnikových procesov(2011) Výkonnost Podniku, 1 (2).

Malindžáková, M.Significance evaluation of environmental aspects(2011) Communications, 13 (3), pp. 48-51.

Rosová, A., Pribulová, A., Baricová, D., Fedorko, G.Dekompozícia logistického systému podniku systémovou analýzou(2012) Logistický Monitor, pp. 1-15. June


25 z 29 27. 5. 2015 14:37

Rosová, A.Controlling a logistika priemyselného podniku i(2010) Košice: Dekanát - Edičné Stredisko,

Malindžák, D.(2007) A KOL: Teória Logistiky, Karnat,

Bindzár, P., Ižolová, J., Balog, M.Návrh koncepcie mestskej logistiky s využitím prvkov IDS s aplikáciou na mestonitra(2010) Acta Montanistica Slovaca, 15, pp. 73-81.

Rosová, A.Sústava ukazovatelov distribučnej logistiky, logistiky dopravy a materiálového tokuako jeden z nástrojov controllingu v logistike podniku(2010) Acta Montanistica Slovaca, 15, pp. 67-72.

Balog, M., Straka, M.(2005) Logistika Informačných Systémov, Epos, Košice

Pribulová, A., Šaderová, J., Fedorko, G.Model materiálového toku procesu úpravy a spracovania nerastnej suroviny(2012) Logistický Monitor, pp. 1-7. April

Bártová, P., Kampf, R.Možnosti uplatnení CBA analýzy v dopravním inženýrstv(2008) Doprava, (6), pp. 16-18.

Rosová, A.(2010) Controlling a Logistika Priemyselného Podniku II, Košice: Dekanát - Edičné stredisko

Kačmáry, P., Malindžák, D.Prognózovanie obchodu a výroby v dynamicky sa meniacich podmienkach trhu(2010) Acta Montanistica Slovaca, 15, pp. 53-60.

Marasová, D., Taraba, V., Grendel, P.Legislatíva a jej požiadavky na bezpečnost tunelov(2010) Acta Montanistica Slovaca, 15, pp. 9-13.




Andrejiová, M., Pavlisková, A., Husáková, N.Application of multi-criterion decision methods by the selection of optimal constructive elements for devices of


26 z 29 27. 5. 2015 14:37

continuous transport(2012) Congress Proceedings - CLC 2012: Carpathian Logistics Congress, pp. 283-289.

Technical University of KošiceKosice, Slovakia

AbstractThe article deals with the determination of optimal construction of conveyor belts as a basic hoisting and supporting elementsof continually working transport devices. By utilization of multi-criterion decision methods it will be defined the weight of maincriteria important for the selection of conveyor belts - Steelbelt, Transbelt, Ecotubelt from the technical, energy, economic,ecological and ergonomic aspect.

Author KeywordsBelt conveyor; Conveyor; Method; Multi-criterion decision

Index KeywordsConveyors; Conveyor belts, Decision method, Method, Multi-Criterion, Optimal construction; Belt conveyors

References

Marasová, D., Taraba, V., Grendel, P.Legislatíva a jej požiadavky na bezpečnost tunelov(2010) Acta Montanistica Slovaca, 15, pp. 9-13. (2010)

Taraba, V.Logistický a technologický reinižiniering kombinovanej štvorvalcovej linky navýrobu dopravných pásov(2010) Acta Montanistica Slovaca, 15 (1), pp. 4-8. (2010), Available from

Grinčová, A., Berežný Š., Marasová, D.Regression model creation based on experimental tests of conveyor belts againstbelt rips resistance(2009) Acta Montanistica Slovaca, 14 (1), pp. 113-120. Available from

Marasová, D., Taraba, V.(1996) Fordergurt Ecotubelt Ind Seinde Verwendung in Der Praxis, (80), pp. 187-192. Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej: Seria Konferencje.Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej

Šaderová, J.The loading of steel wire hoisting ropes and the impact on their service life(1997) Wire Industry, pp. 519-521. August




Marasová, D.a , Taraba, V.b


27 z 29 27. 5. 2015 14:37

About ScopusWhat is ScopusContent coverage

Customer ServiceHelp and ContactLive chat

About ElsevierAbout ElsevierTerms and ConditionsPrivacy Policy

The belt for a pipe conveyor ecotubelt and its application [Fördergurt ecotubelt und seine verwendung in der praxis(Komunikat)](1996) Prace Naukowe Instytutu Gornictwa Politechniki Wroclawskiej, (80), pp. 187-192. Cited 1 time.

a Fak. F. Bergbau, Okologie, S., TU Košice, Park Komenského 14, 043 23 Košice, Slovakiab Matador, A.S., T.Vansovej, 020 01 Púchov, Slovakia

AbstractThe operating principles and design of the pipe conveyor which was developed in the Matador Púchov with the cooperationwith the firm TEDO have been shortly described. The analysis of experience in working some pipe conveyors which wereunder operation for a certain time in a specific operations (power plants, heating plants) has been presented.

References

Grujič, M.Transportna stredstva u rudnicima(1993) RGF Beograd,

Marasová, D.Možnosti eliminácie dynamického namáhania dopravných pásov(1996) Uhlí/Rudy/Geologický Průzkum, 2, pp. 48-54.

Marasová, D., Taraba, V.Development trends in the area of new construction of punctureproof conveyorbelts(1996) Technical Rubber Goods-part of Our Evoryday Life, pp. 23-30. Púchov, may

Marasová, D., Boroška, J.(1991) Vývojové Tendencie v Doprave Pásovými Dopravníkmi, pp. 145-148. Uhlí.3915

Marasová, D., Štroffek, E.Potrubné dopravniky a ochrana životného prostredia(1995) The Effects of Rubber Products on the Environment, pp. 226-235. May Púchov

Štroffek, E., Boroška, J., Pinka, J., Hiklová, J., Marasová, D., Mikulica, P., Mikušek, F.Dopravné pásy v priemysle(1995) Vydavatel'stvo Štroffek, p. 204. Košice

Correspondence AddressMarasova D.; Fak. F. Bergbau, Okologie, S., TU Košice, Park Komenského 14, 043 23 Košice, Slovakia

ISSN: 03249670CODEN: PNGPALanguage of Original Document: PolishAbbreviated Source Title: Pr Nauk Inst Gorn Politech WroclawDocument Type: ArticleSource: Scopus


28 z 29 27. 5. 2015 14:37

Copyright © 2015 Elsevier B.V. All rights reserved. Scopus® is a registered trademark of Elsevier B.V.Cookies are set by this site.To declinethem or learn more,visit our Cookies page.


29 z 29 27. 5. 2015 14:37

Scopus - Print - 14 (May...

Documents

Transcript of Scopus - Print - 14 (May...