IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v204y2010i3p439-448.html

Interrelating operational and financial performance measurements in inventory control

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
  2. Mojtaba Azizian & Mohammad Mehdi Sepehri & Seyed Mohammad Javad Mirzapour Al-e-Hashem, 2023. "Simulation-Based Models of Multi-Tier Financial Supply Chain Management Problem: Application in the Pharmacy Sector," Mathematics, MDPI, vol. 11(19), pages 1-26, October.
  3. Ivakina, A. & Zenkevich, N., 2018. "Working capital optimization under liquidity constraints in collaborative supply chains," Working Papers 15110, Graduate School of Management, St. Petersburg State University.
  4. Magni, Carlo Alberto & Marchioni, Andrea, 2020. "Average rates of return, working capital, and NPV-consistency in project appraisal: A sensitivity analysis approach," International Journal of Production Economics, Elsevier, vol. 229(C).
  5. Wadhah Abualfaraa & Mohammed AlManei & Rashmeet Kaur & Ahmed Al-Ashaab & Patrick McLaughlin & Konstantinos Salonitis, 2022. "A Synergetic Framework for Green and Lean Manufacturing Practices in SMEs: Saudi Arabia Perspective," Sustainability, MDPI, vol. 15(1), pages 1-33, December.
  6. Wuttke, David A. & Blome, Constantin & Henke, Michael, 2013. "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management," International Journal of Production Economics, Elsevier, vol. 145(2), pages 773-789.
  7. Margarita Protopappa-Sieke & Ralf W. Seifert, 2017. "Benefits of working capital sharing in supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 521-532, May.
  8. Powell, Warren B., 2019. "A unified framework for stochastic optimization," European Journal of Operational Research, Elsevier, vol. 275(3), pages 795-821.
  9. Seifert, Daniel & Seifert, Ralf W. & Protopappa-Sieke, Margarita, 2013. "A review of trade credit literature: Opportunities for research in operations," European Journal of Operational Research, Elsevier, vol. 231(2), pages 245-256.
  10. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
  11. Wang, Zhiqiang & Wang, Qiang & Lai, Yin & Liang, Chaojie, 2020. "Drivers and outcomes of supply chain finance adoption: An empirical investigation in China," International Journal of Production Economics, Elsevier, vol. 220(C).
  12. Wuttke, David A. & Blome, Constantin & Sebastian Heese, H. & Protopappa-Sieke, Margarita, 2016. "Supply chain finance: Optimal introduction and adoption decisions," International Journal of Production Economics, Elsevier, vol. 178(C), pages 72-81.
  13. Kajjoune, Oussama & Aouam, Tarik & Zouadi, Tarik & Dairi, Meriem, 2021. "Dynamic lot-sizing with short-term financing and external deposits for a capital-constrained manufacturer," International Journal of Production Economics, Elsevier, vol. 242(C).
  14. Weiwei Chen & Benjamin Melamed & Oleg Sokolinskiy & Ben Sopranzetti, 2017. "Cash Conversion Systems in Corporate Subsidiaries," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 604-619, October.
  15. Weisheng Deng & Lu Liu, 2019. "Comparison of Carbon Emission Reduction Modes: Impacts of Capital Constraint and Risk Aversion," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
  16. Bo Yan & Gaodi Liu & Zhenyu Zhang & Chang Yan, 2020. "Optimal financing and operation strategy of fresh agricultural supply chain," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 776-794, July.
  17. Wei Luo & Kevin Shang, 2015. "Joint Inventory and Cash Management for Multidivisional Supply Chains," Operations Research, INFORMS, vol. 63(5), pages 1098-1116, October.
  18. Sari Viskari & Anita Ruokola & Miia Pirttilä & Timo Kärri, 2012. "Advanced model for working capital management: bridging theory and practice," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(1), pages 1-17.
  19. van der Vliet, Kasper & Reindorp, Matthew J. & Fransoo, Jan C., 2015. "The price of reverse factoring: Financing rates vs. payment delays," European Journal of Operational Research, Elsevier, vol. 242(3), pages 842-853.
  20. Seifert, Ralf W. & Tancrez, Jean-Sébastien & Biçer, Işık, 2016. "Dynamic product portfolio management with life cycle considerations," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 71-83.
  21. Valentín Pando & Luis A. San-José & Joaquín Sicilia, 2021. "An Inventory Model with Stock-Dependent Demand Rate and Maximization of the Return on Investment," Mathematics, MDPI, vol. 9(8), pages 1-18, April.
  22. Cui, Bei, 2026. "Impacts of supply chain finance on enterprise resilience: the interplay between financial linkage and business relationship among supply chain partners," International Journal of Production Economics, Elsevier, vol. 291(C).
  23. Yan, Bo & Liu, Gaodi & Zhenyu, Zhang & Chang, Yan, . "Optimal financing and operation strategy of fresh agricultural supply chain," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3).
  24. Panos Markou & Daniel Corsten, 2021. "Financial and Operational Risk Management: Inventory Effects in the Gold Mining Industry," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4635-4655, December.
  25. Kajjoune, Oussama & Aouam, Tarik & Zouadi, Tarik & Ranjan, Ravi Prakash, 2023. "Dynamic lot-sizing in a two-stage supply chain with liquidity constraints and financing options," International Journal of Production Economics, Elsevier, vol. 258(C).
  26. Bian, Yuan & Lemoine, David & Yeung, Thomas G. & Bostel, Nathalie & Hovelaque, Vincent & Viviani, Jean-laurent & Gayraud, Fabrice, 2018. "A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity," International Journal of Production Economics, Elsevier, vol. 196(C), pages 319-332.
  27. Sim, Jaehun & Prabhu, Vittaldas, 2017. "A microcredit contract model with a Black Scholes model under default risk," International Journal of Production Economics, Elsevier, vol. 193(C), pages 294-305.
  28. Karthik V. Natarajan & Jayashankar M. Swaminathan, 2014. "Inventory Management in Humanitarian Operations: Impact of Amount, Schedule, and Uncertainty in Funding," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 595-603, October.
  29. Shanshan Xie & Jiamuyan Xie, 2025. "Demand Information Asymmetry and Supply Chain Financing: A Signaling Perspective," Mathematics, MDPI, vol. 13(8), pages 1-27, April.
  30. 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).
  31. Zhao, Lima & Huchzermeier, Arnd, 2015. "Operations–finance interface models: A literature review and framework," European Journal of Operational Research, Elsevier, vol. 244(3), pages 905-917.
  32. 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.
  33. Pong, Christopher K.M. & Mitchell, Falconer, 2012. "Inventory investment & control: How have UK companies been doing?," The British Accounting Review, Elsevier, vol. 44(3), pages 173-188.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.