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2019 | 10 | nr 2 | 50--59
Tytuł artykułu

Demand Driven Material Requirements Planning. Some Methodical and Practical Comments

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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. (original abstract)
Rocznik
Tom
10
Numer
Strony
50--59
Opis fizyczny
Twórcy
  • Technical University of Košice, Slovakia
  • Technical University of Košice, Slovakia
  • Technical University of Košice, Slovakia
autor
  • Technical University of Košice, Slovakia
Bibliografia
  • Ahmad K., Zabri S. M., The deployment of performance measurement system under the supply chain management environment: The case of Malaysian manufacturing companies, Management and Production Engineering Review, 2018, vol. 9, no. 1, pp. 3-12.
  • Klos S., Ptalas-Maliszewska J., The impact of ERP on maintenance management, Management and Production Engineering Review, 4, 3, 15-25, 2013.
  • Trebuňa P., Filo M., Pekarčíková M., Supply and distribution logistics, Ostrava: Amos, 2013.
  • Mendes Jr. P., Demand Driven Supply Chain: A Structured and Practical Roadmap to Increase Profitability, Springer, Berlin, Germany, 2011.
  • Nielsen P., Michna Z., The impact of stochastic lead times on the bullwhip effect - an empirical insight, Management and Production Engineering Review, 9, 1, 65-70, 2018.
  • Rosová A., The system of indicators of distribution logistics, transport logistics and material flow as a tool of controlling in logistics enterpise, Acta Montanistica Slovaca, 15, 1, 67-72, 2010.
  • Straka M., Malindzak, D., Algorithms of capacity balancing of printing machineries for Alfa Foils, a.s. planning system, Acta Montanistica Slovaca, 14, 1, 98-102, 2009.
  • Wicher P., Staš D., Karkula M., Lenort R., Besta P., A computer simulation-based analysis of supply chains resilience in industrial environment, Metalurgija, 54, 4, 2015.
  • Smith D., Smith Ch., Demand Driven Performance: Using smart metrics, McGraw-Hill Education, USA, 2013.
  • Ptak C., Smith C., Demand Driven Material Requirements Planning (DDMRP), Industrial Press, Inc., 2016.
  • https://www.demanddriveninstitute.com/the-method?lipi=urn li page d flagship3 pulse read RViU76TZufZi9CcGkRLg
  • Wilkner J., On decoupling points and decoupling zones, Production & Manufacturing Research, 2, 1, 2014.
  • http://www.beyondmrp.com/demand-driven-mrpportal/demand-driven-mrp-5-elements/demand driven-mrp-strategic-inventory-positioning/
  • http://36mfjx1a0yt01ki78v3bb46n15gp.wpengine. netdna-cdn.com/wp-content/uploads/2016/04/Exec-DDMRP-IntroductionJBWV1.6.pdf
  • http://leanontoc.com/BufferCalc.html
  • Edl M., Kudrna J., Methods of industrial engineering, Plzeň: Smart Motion, 2013.
  • Poor P., Basl J., Czech Republic and Processes of Industry 4.0 Implementation, Proceedings of the 29th DAAAM International Symposium, DAAAM International, Vienna, Austria, pp. 454-459, 2018.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171561757

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