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Use of the Decision Table for Supporting Management Process in Mining Companies

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents a proposal of use a decision table to support the decision-making process in scope of maintenance management in mining companies. In particular, it refers to decisions related to evaluation and improvement of mining machinery use in the mining production process. The article presents the theoretical foundations of decision tables building and characteristics of the most important stages of creating this table. This whole process was tried to refer specifically the mining industry. For this reason, during construction of the decision tables, the results of research on the effectiveness of the selected mining machines were used. The conducted research provided a lot of data, information and knowledge on the work of the particular mining machines, especially regarding the number and reasons for unplanned breaks during the machines’ work. The developed decision table will consist of conditions, rules and actions whose purpose is to define the recommendations for the particular groups of participants in the mining production process. The obtained results will form the basis for the development of the recommendations and proposals of actions to improve the level of use of mining machines. The authors focused mainly on the practical use of tables to support the decision-making process regarding maintenance and improvement of effectiveness of mining machines. The obtained results confirm the validity of the adopted assumptions. Decision tables can become an important tool that supports the decision-making process within mining companies.
Rocznik
Strony
587--593
Opis fizyczny
Bibliogr. 16 poz., fig.
Twórcy
autor
  • Silesian University of Technology, Poland
autor
  • Silesian University of Technology, Poland
  • Georgian Technical University, Georgia
Bibliografia
  • 1. Brodny, J., Stecuła, K., Tutak, M. (2016). Application of the TPM strategy to analyze the effectiveness of using a set of mining machines. Proceedings of 16th International Multidisciplinary Scientific GeoConferences. SGEM2016, 1(II), Albena Bulgaria, pp. 65-72.
  • 2. Jolly, A., Oleson II, R., Kaup, D. J. (2015). Pedestrain Cellular Automata and Industrial Process Simulation.
  • 3. Lundvall, B. A., Johnson, B. (1994). The learning economy. Journal of Industry Studies, 1(2).
  • 4. Mostowski, A. (1948). Logika matematyczna. Warszawa – Wrocław: Instytut Matematyczny Polskiej Akademii Nauk.
  • 5. Palka, D., Brodny, J. Stecula, K. (2017). Modern Means of Production and the Staff Awareness of the Technical in the Plant of the Mining Industry. In: CBU International Conference Proceedings 2017: Innovations in Science and Education, 5, pp. 1190-1194.
  • 6. Partyka, M. A. (1996). Wybrane zagadnienia logiki i heurystyki w inżynierii projektowania i zarządzania. Opole: Wyższa Szkoła Inżynierska w Opolu.
  • 7. Partyka, M., Paszek, A. (2017). Możliwości zastosowania tablic decyzyjnych w inżynierii projektowania konstrukcyjnego i technologicznego. In: Napędy i Sterowanie.
  • 8. Paszek, A., Partyka, M. (2014). Zastosowanie tablic decyzyjnych w opracowaniu reprezentacji wiedzy technologicznej. In: R. Knosala, ed., Innowacje w zarządzaniu i Inżynierii Produkcji. Opole: Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją.
  • 9. Pollack, S. L., Hicks, H. T., Harrison, W. J. (1975). Tablice decyzyjne. Warszawa: Państwowe Wydawnictwo Naukowe.
  • 10. Stecuła, K., Brodny, J. (2017). Generating knowledge about the downtime of the machines in the example of mining enterprise. In: Proceedings of 17th International Multidisciplinary Scientific GeoConferences SGEM 2017, 17(13), Exploration and Mining. Albena Bulgaria, pp. 359-366.
  • 11. Stecula, K., Brodny, J., Tutak, M. (2017). Use of Intelligent Informatics Module for Registration and Assessment of Causes of Breaks in Selected Mining Machines. In: A. Burduk, D. Mazurkiewicz, ed., Intelligent Systems in Production Engineering and Maintenance – ISPEM. Advances in Intelligent Systems and Computing 637, Proceedings of the First International Conference on Intelligent Systems in Production Engineering and Maintenance, pp. 74-84.
  • 12. Stecuła, K., Tutak, M., Brodny, J. (2017). Application of Chosen Elements from Japanese Production and Maintenance Management Philosophies in Polish Coal Mines. 17th International Multidisciplinary Scientific Geoconference SGEM 2017, 17(13), pp. 93-100.
  • 13. Szurgacz, D., Brodny, J. (2017). Role and Relevance of an Electro Control System for the Operation of a Powered Roof Support. 17th International Multidisciplinary Scientific Geoconference SGEM 2017, 17(13), pp. 781-788.
  • 14. Tutak, M. (2017). Analysis of varying levels of methane emissions from coal mines in Poland. Vienna GREEN Conference Proceedings, 17(43), pp. 301-308.
  • 15. Tutak, M., Brodny, J. (2018). Impact of type of the roof rocks on location and range of endogenous fires particular hazard zone by in goaf with caving. E3S Web Conferences, 29, pp. 2267-1242.
  • 16. Wrycza, S. (1999). Analiza i projektowanie systemów informatycznych zarządzania. Metodyki, techniki, narzędzia. Warszawa: Wydawnictwo Naukowe PWN.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c2c7eeda-4825-4f80-8065-30c141936114
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