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Browsing by Subject "decision support systems"

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  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Application of selected methods of graph theory and combinatorial heuristics to minimising the number of transits nodes in an air network
    (AGH University of Science and Technology Press, 2008) Mażbic-Kulma, Barbara; Owsiński, Jan Wojciech; Sęp, Krzysztof
    In the paper we present the notion of alpha-clique and some of its properties. Covering with alpha-cliques is a preprocessing method for an air network, described as a graph, in which vertices correspond to airports and edges correspond to air connections. Using the alpha-clique cover we obtain a hypergraph, in which we find the minimum transversal. The set of vertices thus obtained is the sought-for set of transits nodes, called hubs. Using the alpha-clique concept instead of proper cliques we can obtain the solution to the graph covering problem easier.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Propozycja budowy informatycznego systemu wsparcia podejmowania decyzji w obszarze zintegrowanych danych technicznych dotyczących procesów eksploatacji ciągłych systemów transportowych
    (Wydawnictwa AGH, 2011) Biernat, Stanisław; Hardygóra, Monika; Górniak-Zimroz, Justyna; Król, Robert Andrzej; Zimroz, Radosław
    The paper deals with the latest developments in the field of computerized maintenance management system for a belt conveyors system. Some of existing in mining industry computer based systems are presented and discussed. It is showed that there is a need to build a comprehensive computerized tool for example based on a Business Intelligence software that will be able to store, process and quickly analyse data and use extracted information for decision making. A concept of such system is presented in the paper, moreover several advantages of the proposed approach is discussed. The crucial part of the system are data stored in data base - proposals of data structure organized in layers and some examples of decision using these data are also shown.