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Quantitative Models for Value-Based Supply Chain Management

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  • Marcus Brandenburg

    (University of Kassel)

Abstract

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Suggested Citation

  • Marcus Brandenburg, 2013. "Quantitative Models for Value-Based Supply Chain Management," Lecture Notes in Economics and Mathematical Systems, Springer, edition 127, number 978-3-642-31304-2, December.
  • Handle: RePEc:spr:lnecms:978-3-642-31304-2
    DOI: 10.1007/978-3-642-31304-2
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    Citations

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    Cited by:

    1. Marcus Brandenburg & Tim Gruchmann & Nelly Oelze, 2019. "Sustainable Supply Chain Management—A Conceptual Framework and Future Research Perspectives," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    2. Anthony Vaz & Shaheen Mansori, 2017. "Target Days versus Actual Days of Finished Goods Inventory in Fast Moving Consumer Goods," International Business Research, Canadian Center of Science and Education, vol. 10(6), pages 19-34, June.
    3. Ilin, IIgor & Maydanova, Svetlana & Levina, Anastasia & Lepekhin, Aleksandr A., 2020. "Northern Sea Route e-platforms: Tools for competitive development," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 441-455, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. Brandenburg, Marcus, 2016. "Supply chain efficiency, value creation and the economic crisis – An empirical assessment of the European automotive industry 2002–2010," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 321-335.
    5. Rupesh Kumar & Deepak Bangwal, 2023. "An assessment of sustainable supply chain initiatives in Indian automobile industry using PPS method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9703-9729, September.
    6. Badri, Hossein & Fatemi Ghomi, S.M.T. & Hejazi, Taha-Hossein, 2017. "A two-stage stochastic programming approach for value-based closed-loop supply chain network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 1-17.
    7. Julian Gaus & Sven Wehking & Andreas H. Glas & Michael Eßig, 2022. "Economic Sustainability by Using Life Cycle Cost Information in the Buying Center: Insights from the Public Sector," Sustainability, MDPI, vol. 14(3), pages 1-28, February.
    8. Erik Hofmann & Yannick Sertori, 2020. "Financial Spillover Effects in Supply Chains: Do Customers and Suppliers Really Benefit?," Logistics, MDPI, vol. 4(1), pages 1-27, March.
    9. Hahn, G.J. & Brandenburg, M. & Becker, J., 2021. "Valuing supply chain performance within and across manufacturing industries: A DEA-based approach," International Journal of Production Economics, Elsevier, vol. 240(C).

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