The uncertainty and financial instability that characterise companies and supply chains is leading toward the development and adoption of Supply Chain Finance (SCF), a set of solutions aiming to optimise the financial performance within a supply chain. However, how to select the ‘best’ SCF solutions for a generic supply chain remains largely unaddressed. The objective of this paper is to formulate a model for the selection of the most suitable SCF solutions for a supply chain, based on the analytical formalisation of the tangible benefits of three relevant SCF solutions: Reverse Factoring, Inventory Finance and Dynamic Discounting. The problem is formalised as a General Allocation Problem and several algorithm are suggested with the aim of ensuring good results within reasonable times. Finally, the model is applied to a real world case, highlighting its practitioner relevance.

Choosing the right Supply Chain Finance solution: toward a generalised strategy

Luca M. Gelsomino;Alessandro Perego;
2017-01-01

Abstract

The uncertainty and financial instability that characterise companies and supply chains is leading toward the development and adoption of Supply Chain Finance (SCF), a set of solutions aiming to optimise the financial performance within a supply chain. However, how to select the ‘best’ SCF solutions for a generic supply chain remains largely unaddressed. The objective of this paper is to formulate a model for the selection of the most suitable SCF solutions for a supply chain, based on the analytical formalisation of the tangible benefits of three relevant SCF solutions: Reverse Factoring, Inventory Finance and Dynamic Discounting. The problem is formalised as a General Allocation Problem and several algorithm are suggested with the aim of ensuring good results within reasonable times. Finally, the model is applied to a real world case, highlighting its practitioner relevance.
2017
Proceedings: 26th IPSERA conference
Supply Chain Finance, Working Capital Management, Benefits Assessment, Supplier Management, General Allocation Problem
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1063043
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact