Article

Fuzzy estimations and system dynamics for improving manufacturing orders in VMI supply chains

Book Series ar
Studies in Fuzziness and Soft Computing
  • Volumen: 313
  • Fecha: 01 January 2014
  • Páginas: 227-241
  • ISSN: 14349922
  • ISBN: 9783642539381
  • Source Type: Book Series
  • DOI: 10.1007/978-3-642-53939-8_10
  • Document Type: Article
  • Publisher: Springer Verlag service@springer.de
In this chapter, we evaluate the behavior of fuzzy estimations of demand for releasing manufacturing orders in a Vendor-Managed Inventory (VMI) supply chain, which is based on a collaborative deal between retailer and manufacturer, and focuses on the interchange of information about demand and inventory levels. The supply chain considered consists of an end consumer, a retailer and a manufacturer. A system dynamics model with fuzzy estimations of demand has been constructed for supply chain simulation. Fuzzy numbers are used to model fuzzy estimations of demand. With a numerical example, we show that the bullwhip effect can be effectively reduced at the level where fuzzy orders exist and that the fill rate reached improves at the retailer level.© Springer-Verlag Berlin Heidelberg 2014.

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