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Inventory management under date-terms supplier trade credit with stochastic demand and leadtime

Author

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  • D J Robb

    (The University of Auckland)

  • E A Silver

    (The University of Calgary)

Abstract

Executives and academics alike are expressing increasing interest in supplier trade credit. We consider a form of credit known as ‘date-terms’ where the credit period extends to a specified date in the month following the invoice. We extend published research to consider both demand and supply uncertainty, employing a gamma distribution to model demand during the leadtime and reorder period. Taking an applied perspective, we evaluate four heuristics against an optimal solution for the case where pragmatic restrictions are placed on the reorder period. We evaluate how the reorder period and the performance of heuristics are affected by various environmental parameters (based on industrial data) and comment on the ramifications of this form of trade credit.

Suggested Citation

  • D J Robb & E A Silver, 2006. "Inventory management under date-terms supplier trade credit with stochastic demand and leadtime," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 692-702, June.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:6:d:10.1057_palgrave.jors.2602042
    DOI: 10.1057/palgrave.jors.2602042
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    References listed on IDEAS

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    Cited by:

    1. Ali, Mohammad M. & Boylan, John E. & Syntetos, Aris A., 2012. "Forecast errors and inventory performance under forecast information sharing," International Journal of Forecasting, Elsevier, vol. 28(4), pages 830-841.
    2. 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.
    3. 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.
    4. Silver, Edward A. & Robb, David J., 2008. "Some insights regarding the optimal reorder period in periodic review inventory systems," International Journal of Production Economics, Elsevier, vol. 112(1), pages 354-366, March.
    5. Shi, Xiaojun & Zhang, Shunming, 2010. "An incentive-compatible solution for trade credit term incorporating default risk," European Journal of Operational Research, Elsevier, vol. 206(1), pages 178-196, October.
    6. Shih-Hsien Tseng & Jia-Chen Yu, 2019. "Data-Driven Iron and Steel Inventory Control Policies," Mathematics, MDPI, vol. 7(8), pages 1-15, August.
    7. Yan, Jinjiang & Wang, Xianyu & Cheng, Hong & Huang, Lu, 2016. "Study on the coordination contract in supply chain under trade credit based on risk compensation," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 533-538.
    8. Bougheas, Spiros & Mateut, Simona & Mizen, Paul, 2009. "Corporate trade credit and inventories: New evidence of a trade-off from accounts payable and receivable," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 300-307, February.
    9. Jianxin Chen & Yong-Wu Zhou, 2017. "A Risk-Averse Newsvendor Model Under Trade Credit Contract with CVaR," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(03), pages 1-20, June.
    10. Nita Shah, 2015. "Retailer’s replenishment and credit policies for deteriorating inventory under credit period-dependent demand and bad-debt loss," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(1), pages 298-312, April.

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