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Wyświetlanie 1-2 z 2
Tytuł:
Demand driven material requirements planning. Some methodical and practical comments
Autorzy:
Pekarčíková, Miriam
Trebuňa, Peter
Kliment, Marek
Trojan, Jozef
Powiązania:
https://bibliotekanauki.pl/articles/406796.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
demand
supply chain
DDMRP
buffer
inventory
Opis:
Industry 4.0 will affect the complexity of supply chain networks. It will be necessary to adapt more and more to the customer and respond within a time interval that is willing to accept the product waiting. From these considerations, there is a need for a different way of managing the supply chain. The traditional concept of supply chain as a linear system, which allows optimizing individual subsystems, thus obtaining an optimized supply chain, is not enough. The article deals with the issue of supply chain management reflecting demand behaviour using the methodology Demand Driven MRP system. The aim of the publication is to extend the knowledge base in the area of demand-driven supply logistics in the context of Industry 4.0 and verify the processed theoretical knowledge in a case study.
Źródło:
Management and Production Engineering Review; 2019, 10, 2; 50--59
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Case Study: Testing the Overall Efficiency of Equipment in the Production Process in TX Plant Simulation Software
Autorzy:
Pekarčíková, Miriam
Trebuna, Peter
Kliment, Marek
Trojan, Jozef
Kopec, Ján
Dic, Michal
Kronová, Jana
Powiązania:
https://bibliotekanauki.pl/articles/2201181.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
process
simulation
efficiency
TX plant simulation
OEE
energy consumption
Opis:
The article deals with a widely used method of measuring the overall efficiency of equipment (OEE), which in combination with technologies and software tools is gaining in importance. The overall efficiency of OEE equipment is a key performance metric for machines and equipment to identify hidden capacities and increase production productivity. The intensification of Industry 4.0 in traditional manufacturing companies supports and creates the conditions for their transformation into a smart factory. The integration of intelligent machines and devices with complex human-machine communication network systems requires a new direction in measuring and increasing OEE. Mass customization, resp. personalization of production raises a high need to monitor, improve and further maintain productivity. The aim of the article is to create a simulation model of the production process and test the energy consumption of selected equipment using TX Plant Simulation software with a proposal of measures to increase the OEE of the company.
Źródło:
Management and Production Engineering Review; 2023, 14, 1; 34--42
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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