Transformation of data and information into knowledge in the production enterprise and their use in the sales department

• Autorzy: Worobel Richard , Kováčová Lucia , Čapek Juraj , Martinkovič Milan , Gašo Martin , Bubeník Peter

Identyfikatory

DOI

10.2478/mape-2019-0041

• Języki publikacji: EN

Abstrakty

EN

Modern age is associated with massive deployment of information technology in businesses that are forced to work with a wealth of data and information. Businesses are trying to make the most effective use of knowledge not only from real data, but they often have to rely on their employees' knowledge. Increasing fluctuation of employees and the resulting outflow of knowledge will force businesses to increasingly make use of knowledge management. The article describes the process of looking for the context and the implications of selecting contracts to transform them into information and knowledge on the example of a real business. The verified process is transformed into a design of knowledge system, which results in the recommended generated rule for selecting sales department orders to ensure profitability for the business.

Słowa kluczowe

EN

industrial engineering; knowledge; knowledge system; sales department

• Wydawca: STE GROUP ; De Gruyter
• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2019
• Tom: Vol. 2, Iss. 1
• Strony: 407--415
• Opis fizyczny: Bibliogr. 10 poz., fig.

Twórcy

autor

Worobel Richard

• University of Žilina, Slovak Republic

autor

Kováčová Lucia

• University of Žilina, Slovak Republic

autor

Čapek Juraj

• University of Žilina, Slovak Republic

autor

Martinkovič Milan

• University of Žilina, Slovak Republic

autor

Gašo Martin

• University of Žilina, Slovak Republic

autor

Bubeník Peter

• University of Žilina, Slovak Republic

Bibliografia

• 1. Daneshjo, N., Rudy, V., Štofková, K., Mareš, A., Kováč, J., Jahnátek, A., Krivosudská, J., Šmajda, N. and Rusnák, J. (2018). Inteligent industrial Engineering – Innovation potential. San Antonio: FedEx Print & Ship Center.
• 2. Fusko, M., Rakyta, M., Krajčovič, M., Dulina, Ľ., Gašo, M. and Grznár, P. (2018). Basics of designing maintenance processes in Industry 4.0. MM Science Journal 3, pp. 2252-2259.
• 3. Fusko, M., Rakyta, M. and Manling, F. (2017). Reducing of intralogistics costs of spare parts and material of implementation digitization in maintenance. In: Procedia Engineering, 192, pp. 213-218.
• 4. Gregor, T., Krajčovič, M. and Więcek, D. (2017). Smart connected logistics. In: Procedia Engineering, 192, pp. 265-270.
• 5. Krajčovič, M., Plinta, D. (2012). Comprehensive approach to the inventory control system improvement. In: Management and production engineering review, 3, pp. 34-44.
• 6. Kramárová, M., Dulina, Ľ. and Čechová, I. (2017). Forklift workers strain of Spine at industrial logistics in depending on human work posture. In: Procedia Engineering, 192, pp. 486-491.
• 7. Medvecká, I., Biňasová, V. and Kubinec, L. (2017). Planning and performance evaluation of the manufacturing organizations. In: Procedia Engineering, 192, pp. 46-51.
• 8. Mičieta, B., Ďurica, L. and Biňasová, V. (2018). New solution of abstract architecture for control and coordination decentralized systems. In: Tehnički Vjesnik, 25(1), pp. 135-143.
• 9. Mičieta, B., Biňasová, V. and Haluška, M. (2015). System for support the design and optimization of reconfigurable manufacturing systems. In: MM science journal, 3, pp. 542-546.
• 10. Štefánik, A., Grznár, P. and Mičieta, B. (2017). Tools for continual process improvement - Simulation and benchmarking. In: Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: Intelligent Manufacturing & Automation: Focus on reconstruction and development, pp. 443-444.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).