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Sustainability of Intertwined Supply Networks: A Game-Theoretic Approach

Author

Listed:
  • Olga Gorbaneva

    (Vorovich Institute for Mathematics, Mechanics, and Computer Science, Southern Federal University, 344090 Rostov-on-Don, Russia)

  • Guennady Ougolnitsky

    (Vorovich Institute for Mathematics, Mechanics, and Computer Science, Southern Federal University, 344090 Rostov-on-Don, Russia)

Abstract

A formal game-theoretic model of an intertwined supply network, in full and simplified versions, is proposed. Conditions for the sustainable development of an active system are presented in general form and then specified to the class of intertwined supply networks. As an illustration, a concise example of the dynamic Cournot duopoly and a detailed example of the model of Social and Private Interests Coordination Engines (SPICE-model) for a marketing network are considered and analytically investigated and sustainability conditions are established. An important conclusion is that the sustainable development of the active system is possible only under the viability conditions satisfied simultaneously with coordinating the interests of all active agents of the system.

Suggested Citation

  • Olga Gorbaneva & Guennady Ougolnitsky, 2022. "Sustainability of Intertwined Supply Networks: A Game-Theoretic Approach," Games, MDPI, vol. 13(3), pages 1-21, April.
    • Handle: RePEc:gam:jgames:v:13:y:2022:i:3:p:35-:d:804601
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    References listed on IDEAS

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    1. Myerson, Roger B, 1983. "Mechanism Design by an Informed Principal," Econometrica, Econometric Society, vol. 51(6), pages 1767-1797, November.
    2. Martinet, Vincent, 2011. "A characterization of sustainability with indicators," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 183-197, March.
    3. Jiho Yoon & Srinivas Talluri & Hakan Yildiz & William Ho, 2018. "Models for supplier selection and risk mitigation: a holistic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3636-3661, May.
    4. Myerson, Roger B, 1979. "Incentive Compatibility and the Bargaining Problem," Econometrica, Econometric Society, vol. 47(1), pages 61-73, January.
    5. Cairns, Robert D. & Martinet, Vincent, 2014. "An environmental-economic measure of sustainable development," European Economic Review, Elsevier, vol. 69(C), pages 4-17.
    6. Tsan-Ming Choi & Ata Allah Taleizadeh & Xiaohang Yue, 2020. "Game theory applications in production research in the sharing and circular economy era," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6660-6669, November.
    7. G. J. Olsder, 2009. "Phenomena in Inverse Stackelberg Games, Part 2: Dynamic Problems," Journal of Optimization Theory and Applications, Springer, vol. 143(3), pages 601-618, December.
    8. Masoud Kamalahmadi & Mansoor Shekarian & Mahour Mellat Parast, 2022. "The impact of flexibility and redundancy on improving supply chain resilience to disruptions," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1992-2020, March.
    9. Kannan Govindan & Mia Hasanagic, 2018. "A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 278-311, January.
    10. Myerson, Roger B., 1982. "Optimal coordination mechanisms in generalized principal-agent problems," Journal of Mathematical Economics, Elsevier, vol. 10(1), pages 67-81, June.
    11. Guennady Ougolnitsky, 2014. "Game theoretic formalization of the concept of sustainable development in the hierarchical control systems," Annals of Operations Research, Springer, vol. 220(1), pages 69-86, September.
    12. Rameshwar Dubey & Angappa Gunasekaran & Thanos Papadopoulos, 2019. "Disaster relief operations: past, present and future," Annals of Operations Research, Springer, vol. 283(1), pages 1-8, December.
    13. Athanasios Rentizelas & Nikoletta Trivyza & Sarah Oswald & Stefan Siegl, 2022. "Reverse supply network design for circular economy pathways of wind turbine blades in Europe," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1795-1814, March.
    14. John C. Harsanyi, 1967. "Games with Incomplete Information Played by "Bayesian" Players, I-III Part I. The Basic Model," Management Science, INFORMS, vol. 14(3), pages 159-182, November.
    15. Martinet, V. & Doyen, L., 2007. "Sustainability of an economy with an exhaustible resource: A viable control approach," Resource and Energy Economics, Elsevier, vol. 29(1), pages 17-39, January.
    16. Haixia Zhao & Jing Chen & Xingzheng Ai, 2022. "Contract strategy in the presence of chain to chain competition," International Journal of Production Research, Taylor & Francis Journals, vol. 60(6), pages 1913-1931, March.
    17. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    18. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    19. Tsan-Ming Choi & Ata Allah Taleizadeh & Xiaohang Yue, 2020. "Game theory applications in production research in the sharing and circular economy era," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 118-127, January.
    20. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    21. Dmitry Ivanov & Ajay Das, 2020. "Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 13(1), pages 90-102.
    22. G. J. Olsder, 2009. "Phenomena in Inverse Stackelberg Games, Part 1: Static Problems," Journal of Optimization Theory and Applications, Springer, vol. 143(3), pages 589-600, December.
    23. Cairns, Robert D. & Long, Ngo Van, 2006. "Maximin: a direct approach to sustainability," Environment and Development Economics, Cambridge University Press, vol. 11(3), pages 275-300, June.
    24. Fraccascia, Luca & Giannoccaro, Ilaria & Albino, Vito, 2017. "Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements," Ecological Economics, Elsevier, vol. 137(C), pages 148-162.
    25. Dockner,Engelbert J. & Jorgensen,Steffen & Long,Ngo Van & Sorger,Gerhard, 2000. "Differential Games in Economics and Management Science," Cambridge Books, Cambridge University Press, number 9780521637329, October.
    26. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
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    Cited by:

    1. Gennady Ougolnitsky & Olga Gorbaneva, 2022. "Sustainable Management in Active Networks," Mathematics, MDPI, vol. 10(16), pages 1-22, August.

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