title: Implementation of a Multi-Objective Working Capital Management Strategy for Financial Supply Chains
metadata.name: dc.contributor.author
metadata.value: Smirnova, Mariia
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Ivakina, Anastasiia
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Zenkevich, Nikolay
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-11-29T20:48:52Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-11-29T20:48:52Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-10
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Smirnova M., Ivakina I., Zenkevich N. Implementation of a Multi-Objective Working Capital Management Strategy for Financial Supply Chains. Contributions to Game Theory and Management, XIV, 312-328.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu31.2021.23
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/33705
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The issue of adequate application of quantitative supply chain
  (SCF) solutions for cooperative working capital management becomes more
  and more important in terms of globalization and growing competition between
  supply chains (SCs). Authors address the problem by developing models
  for cooperative working capital management (WCM) through SCF adoption
  for the case of the three-stage supply chain. The grounding for the
  optimization is multicriteria approach. The multi-objective working capital
  optimization model (Ivakina et al., 2021) allows to  nd optimal solution regardless
  initial financial and liquidity position of SC. In the article, we use
  this model to quantitatively implement a multi-objective working capital
  management strategy on the cases of real supply chains. The results obtained
  in the paper indicate that the model of working capital optimization
  with concurrent use of multiple supply chain finance solutions can provide
  an optimal solution for all the cases considered in the research. It allows
  to decrease the total financial costs on working capital and supply chain
  finance solutions making individual ones not worse and at the same time
  achieve greater liquidity.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: This work was supported by Saint Petersburg State University under grants No
  60419633
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Contributions to Game Theory and Management;Volume 14
metadata.lang: -
metadata.name: dc.subject
metadata.value: working capital management
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: supply chain finance solutions
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: inventory financing
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: reverse factoring
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: goal programming
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: multi-objective optimization
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: base model of multi-objective working capital optimization
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Implementation of a Multi-Objective Working Capital Management Strategy for Financial Supply Chains
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 312-328.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/33705/1/312-328.pdf
resources.format: Adobe PDF
resources.size: 352,67 kB