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Amalgamation of business intelligence with enterprise resource planning systems for Industry 4.0

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PL
Konsolidacja koncepcji Business Intelligence z systemami klasy ERP dla potrzeb Przemysłu 4.0
Języki publikacji
EN
Abstrakty
EN
Businesses today are incredibly data rich, and dealing with large amount of data, so making some inferences and conclusions, depending on the organisation size and complexity of its processes, it has been a challenge, especially that the next disruptive phase in manufacturing, i.e. Industry 4.0 (I4.0) is already underway. Business Intelligence (BI) and Enterprise Resource Planning (ERP) have become key issues for business activities as well a necessity for further phases of the industrialisation. Their importance has been recognised especially in supporting decision making by building an analytic capability and providing a holistic framework for technical systems in production, quality management, predictive modelling and maintenance, simulation techniques, etc. The introduction of Industry 4.0 requires the digitalisation of data stored in distributed systems and organisational and technological processes. The integration allows one to facilitate the collection, integration, and analysis of data in order to affect the process of development of technical innovations and support the planning and managing in efficient and productive manner. Therefore, the main purpose of this paper was to discuss the importance of BI and ERP amalgamation for the process of the digitalisation and maximisation of company resources stored in distributed transactional systems in the context of Industry 4.0.
PL
Współczesny biznes i przemysł charakteryzuje wielowymiarowość danych, duża dynamika zmian oraz konieczność podejmowania elastycznych decyzji, co stanowi także wyzwanie dla narzędzi informatycznych oraz metod zarządzania. Systemy Business Intelligence (BI) i Enterprise Resource Planning (ERP) stały się kluczowymi platformami analizy i przetwarzania danych, a także podstawą dalszych etapów zaawansowanej industrializacji. Ich znaczenie doceniono szczególnie na płaszczyźnie wspomagania decyzji poprzez budowanie zdolności analitycznych, dostarczanie real-time danych oraz integrację wielowymiarowych przekrojów informacyjnych. Business Intelligence (BI) to nie tylko koncepcja, ale także zestaw technologii, które ułatwiają gromadzenie, integrację i analizę danych w celu wspomagania procesów decyzyjnych. Z drugiej strony w większości organizacji wszystkie dane potrzebne do analiz są najczęściej przechowywane w systemach planowania zasobów przedsiębiorstwa klasy ERP. Zatem głównym celem tego artykułu jest omówienie znaczenia konsolidacji systemów klasy BI i ERP dla potrzeb procesu digitalizacji i maksymalizacji zasobów informacyjnych składowych w rozproszonych systemach transakcyjnych w kontekście koncepcji Przemysłu 4.0.
Twórcy
  • Łukasiewicz Research Network - Institute for Sustainable Technologies, Radom, Poland
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-708367e0-997c-4724-ae1c-91998566f7c1
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