Solving the Spatial Relationships in Manufacturing Systems

• Autorzy: Daneshjo Naqib , Mareš Albert , Dudáš-Pajerká Erika

Identyfikatory

DOI

10.12913/22998624/118941

• Języki publikacji: EN

Abstrakty

EN

Markets are already dynamic, and will continue to be so in the future. The pressure of customers / users for substantial product and service customization increases. Therefore, their demands must be met in a highly flexible, responsive and adaptable manner. The structural changes in company manufacturing systems need to be quickly adapted to the changing requirements and responded to in real-time. Production must not only be highly flexible with high-quality services, but it must be ready for work in integrated network structures. A logical response to these demands is the further development of industrial production ready for the changes presented in the forecasts of the fourth industrial revolution. In essence, it is a project of digitalization and sophistication of the industry. The new designs of highly integrated manufacturing systems and their clusters will ensure communication between the people and the means of production, as well as the production systems and other physical objects.

Słowa kluczowe

EN

manufacturing systems; highly flexible; NC machine; industry

PL

systemy produkcyjne; wysoka elastyczność; maszyna NC; przemysł

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2020
• Tom: Vol. 14, no 2
• Strony: 120--130
• Opis fizyczny: Bibliogr. 11 poz., fig., tab.

Twórcy

autor

Daneshjo Naqib

• Faculty of Business Economics with seat in Kosice, University of Economics in Bratislava, Slovakia

autor

Mareš Albert

• Technical university in Košice, Letná 9, 04001 Košice, Slovakia

autor

Dudáš-Pajerká Erika

• Faculty of Business Economics with seat in Kosice, University of Economics in Bratislava, Slovakia

Bibliografia

• 1. Daneshjo, N., Majernik, M., Dudaš Pajerská, E. Danishjoo, M.: Methodological Aspects of Modelling and Simulation of Robotized Workstations. TEM Journal, 2, 2018, 293–300.
• 2. Daneshjo, N., Rudy, V., Repková, K., Mareš, A., Kováč, J., Jahnátek, J., Krivosudská, J., Šmajda, N., Rusnák, J.: Intelligent industrial engineering – Innovation potential. FedEx Print & Ship Center, USA, 2018.
• 3. Buckova M., Krajcovic M., Edl M.: Computer simulation and optimization of transport distances of order picking processes. Procedia Engineering, 192, 2017, 69–74
• 4. Kovač, J., Rudy, V., Kováč, J.: Methods for the design of production processes. Specifics of designing production systems. Edition of Professional and Scientific Literature, 2017.
• 5. Plinta, D., Krajcovic M.: Production system designing with the use of digital factory and augmented reality Technologies. Advances in intelligent systems and computing. 350, 2016, 187–196.
• 6. Bubeník, P., Bubeníková, E., Korbel, P., Nagy, P.: Information Technology for Business Practice. Edis, ŽU in Žilina, 2004.
• 7. Wiendahl, H., P., Reichardt, J., Nyhuis, P.: Handbook Factory Planing. Springer-Verlag Berlin Heidelberg, 2015.
• 8. Hammer, M.: The Superefficient Company. Harvard Business Review, 9, 2001, 84–92.
• 9. Micieta, B., Edl, M., Krajcovic, M., Dulina, L., Bubenik, P., Durica, L., Binasova, V.: Delegate MASs for coordination and control of one-directional AGV systems: a proof-of-concept. The International Journal of Advanced Manufacturing Technology, 94, 2018.
• 10. Monczka, Robert M. and Jim Morgan: What’s Wrong with Supply Chain Management? Purchasing, 1, 1997, 69–72.
• 11. Cooper, M., C., Douglas M. Lambert, Janus D., Supply Chain Management: More than a New Name for Logistics. The International Journal of Logistics Management, 1, 1997, 1–14.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).