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Implementation of a multi-objective working capital management strategy for financial supply chains
Mariia Smirnova, Anastasiia Ivakina, Nikolay Zenkevich St. Petersburg State University,
7/9 Universitetskaya nab., Saint Petersburg 199034, Russia
Аннотация:
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 find 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.
Ключевые слова:
working capital management, supply chain finance solutions, inventory financing, reverse factoring, goal programming, multi-objective optimization, base model of multi-objective working capital optimization.
Образец цитирования:
Mariia Smirnova, Anastasiia Ivakina, Nikolay Zenkevich, “Implementation of a multi-objective working capital management strategy for financial supply chains”, Contributions to Game Theory and Management, 14 (2021), 312–328
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/cgtm405 https://www.mathnet.ru/rus/cgtm/v14/p312
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