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Contributions to Game Theory and Management, 2023, Volume 16, Pages 145–181
DOI: https://doi.org/10.21638/11701/spbu31.2023.10
(Mi cgtm446)
 

Collaborative working capital optimization for combined supply network

Daniil V. Lukinskii, Nikolay A. Zenkevich

St. Petersburg State University, 7/9, Universitetskaya nab., St. Petersburg, 199034, Russia
References:
Abstract: This study introduces an enhanced theoretical model aimed at minimizing the total costs of working capital within Supply Chains by leveraging Reverse Factoring and Inventory Financing. A comprehensive model was then developed for financial costs in supply chains with a combined topology. This model was not only stated but also transformed into a practical tool for professionals. To validate its applicability, the model was implemented in real-world business scenarios. Further, this paper offers guidelines for future deployments of the developed tool.
Keywords: financial supply chain, working capital management, supply chain finance solutions, inventory financing, reverse factoring, non-convex optimization.
Document Type: Article
Language: English
Citation: Daniil V. Lukinskii, Nikolay A. Zenkevich, “Collaborative working capital optimization for combined supply network”, Contributions to Game Theory and Management, 16 (2023), 145–181
Citation in format AMSBIB
\Bibitem{LukZen23}
\by Daniil~V.~Lukinskii, Nikolay~A.~Zenkevich
\paper Collaborative working capital optimization for combined supply network
\jour Contributions to Game Theory and Management
\yr 2023
\vol 16
\pages 145--181
\mathnet{http://mi.mathnet.ru/cgtm446}
\crossref{https://doi.org/10.21638/11701/spbu31.2023.10}
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