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Technical Note—Managing Inventory for Firms with Trade Credit and Deficit Penalty

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  • Wei Luo

    (IESE Business School, University of Navarra, 08034 Barcelona, Spain;)

  • Kevin H. Shang

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

This paper considers a firm that periodically orders inventory to satisfy demand in a finite horizon. The firm operates under two-level trade credit—that is, it offers trade credit to its customer while receiving one from its supplier. In addition to standard inventory-related costs, the firm also incurs periodic cash-related costs, which include a deficit penalty cost due to cash shortage and an interest gain (negative cost) due to excess cash after inventory payments. The objective is to obtain an inventory policy that maximizes the firm’s working capital at the end of the horizon. We show that this problem is equivalent to one that minimizes the total inventory- and cash-related costs within the horizon. For this general model, we prove that a state-dependent policy is optimal. To facilitate implementation and reveal insights, we consider a simplified model in which a myopic policy is optimal under nondecreasing demand. A numerical study suggests that this myopic policy is an effective heuristic for the original system. The heuristic policy generalizes the classic base-stock policy and resembles practical working capital management under which a firm orders according to its working capital level. The policy parameters have closed-form expressions, which show the impact of demand and cost parameters on the inventory decision. Our study assesses the value of considering financial flows when a firm makes the inventory decision and reveals insights consistent with empirical findings.

Suggested Citation

  • Wei Luo & Kevin H. Shang, 2019. "Technical Note—Managing Inventory for Firms with Trade Credit and Deficit Penalty," Operations Research, INFORMS, vol. 67(2), pages 468-478, March.
  • Handle: RePEc:inm:oropre:v:67:y:2019:i:2:p:468-478
    DOI: 10.1287/opre.2018.1787
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    References listed on IDEAS

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    Cited by:

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    2. Ke Fu & Xiting Gong & Vernon N. Hsu & Jiye Xue, 2021. "Dynamic Inventory Management with Inventory‐based Financing," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1313-1330, May.
    3. Lang Xu & Yuqi Luo & Jia Shi & Lin Liu, 2022. "Credit financing and channel encroachment: analysis of distribution choice in a dual-channel supply chain," Operational Research, Springer, vol. 22(4), pages 3925-3944, September.
    4. Rath, Sambit Brata & Basu, Preetam & Mandal, Prasenjit & Paul, Samit, 2021. "Financing models for an online seller with performance risk in an E-commerce marketplace," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    5. Jordan Tong & Gregory DeCroix & Jing-Sheng Song, 2020. "Modeling Payment Timing in Multiechelon Inventory Systems with Applications to Supply Chain Coordination," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 346-363, March.
    6. Deng, Sijing & Fu, Ke & Xu, Jiayan & Zhu, Kaijie, 2021. "The supply chain effects of trade credit under uncertain demands," Omega, Elsevier, vol. 98(C).
    7. Chen, Zhen & Rossi, Roberto, 2021. "A dynamic ordering policy for a stochastic inventory problem with cash constraints," Omega, Elsevier, vol. 102(C).

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