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Financial Implications of Lot-Size Inventory Models

Author

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  • William Beranek

    (The Pennsylvania Slate University)

Abstract

The definition of the cost of resources devoted to inventories which is inherent in the economic-lot-size procedure implies financial conditions which may not exist. This would lead to infeasibility and/or to a misstatement of carrying costs. If carrying costs are incorrectly stated, then in these, as well as all standard inventory models which emobdy the same assumption, the indicated optimum inventory is either too high or too low, and needlessly excessive costs are incurred by firms using such models. These weaknesses can be corrected by reflecting the firm's actual financial arrangements in the model's carrying cost equation and deriving the corresponding optimum lot size. Examples are presented illustrating how this may be done in the face of several different financial circumstances. In each case, the results of our procedure are compared to those that emerge from an application of the standard lot-size model. Worthwhile savings in inventory cost are indicated, especially if the firm is employing the standard, or classical, model for a number of different products or for a single product which involves a large commitment of resources. In sum, the model builder must be prepared to develop models which reflect the conditions of his financial environment if he is to choose both an optimal inventory and an optimal means of financing the inventory.

Suggested Citation

  • William Beranek, 1967. "Financial Implications of Lot-Size Inventory Models," Management Science, INFORMS, vol. 13(8), pages 401-408, April.
  • Handle: RePEc:inm:ormnsc:v:13:y:1967:i:8:p:b401-b408
    DOI: 10.1287/mnsc.13.8.B401
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    Cited by:

    1. Singh, Sachin & McAllister, Charles D. & Rinks, Dan & Jiang, Xiaoyue, 2010. "Implication of risk adjusted discount rates on cycle stock and safety stock in a multi-period inventory model," International Journal of Production Economics, Elsevier, vol. 123(1), pages 187-195, January.
    2. Diwakar Gupta & Lei Wang, 2009. "A Stochastic Inventory Model with Trade Credit," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 4-18, November.
    3. Selen, W.J., 1987. "A note on cost estimation errors in lot-size problems," Other publications TiSEM e1f7493c-da48-4636-a26e-4, Tilburg University, School of Economics and Management.
    4. Li, Yanhai & Gu, Chaocheng & Ou, Jinwen, 2020. "Supporting a financially constrained supplier under spectral risk measures: The efficiency of buyer lending," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    5. Klein Haneveld, Willem K. & Teunter, Ruud H., 1998. "Effects of discounting and demand rate variability on the EOQ," International Journal of Production Economics, Elsevier, vol. 54(2), pages 173-192, January.
    6. Hwan Lee, Chang & Rhee, Byong-Duk, 2010. "Coordination contracts in the presence of positive inventory financing costs," International Journal of Production Economics, Elsevier, vol. 124(2), pages 331-339, April.
    7. 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.
    8. Li, Jun & Feng, Hairong & Zeng, Yinlian, 2014. "Inventory games with permissible delay in payments," European Journal of Operational Research, Elsevier, vol. 234(3), pages 694-700.
    9. 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).
    10. 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.
    11. Peter McKenzie & Shekhar Jayanthi, 2007. "Ball Aerospace Explores Operational and Financial Trade-Offs in Batch Sizing in Implementing JIT," Interfaces, INFORMS, vol. 37(2), pages 108-119, April.
    12. 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).
    13. Zhong, Yuanguang & Shu, Jia & Xie, Wei & Zhou, Yong-Wu, 2018. "Optimal trade credit and replenishment policies for supply chain network design," Omega, Elsevier, vol. 81(C), pages 26-37.
    14. 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.
    15. Wang Luqi & Zhang Ruijie & Chen Zhijian & Chen Mingyao, 2019. "Inventory Policy for a Deteriorating Item with Time-Varying Demand Under Trade Credit and Inflation," Journal of Systems Science and Information, De Gruyter, vol. 7(2), pages 115-133, April.
    16. Lee, Chang Hwan & Rhee, Byong-Duk, 2011. "Trade credit for supply chain coordination," European Journal of Operational Research, Elsevier, vol. 214(1), pages 136-146, October.

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