Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2014, Special Issue (2014), Article ID 236083, 9 pages.

Robust Inventory Financing Model with Partial Information

Yong Wang, Jixiang Zhou, Hailei Sun, and Lin Jiang

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Given current fast-changing market conditions and difficulty in obtaining financing for small- and medium-sized enterprises, this paper studies the robust inventory financing model under partial information, that is, where the demand distribution is partly known. Two demand information cases are discussed: (1) the mean and variance and (2) the support of the demand distribution. In this setting, the robust method that maximizes the worst-case profit and minimizes the firm’s maximum possible regret of not acting optimally would be used to formulate the optimal sales quantity. We show that the approach used in this paper is tractable, and we provide an explicit expression for the robust optimal policy. We then use numerical examples to compare the firm’s losses under two demand information cases with those occurring under demand certainty. More importantly, the numerical examples indicate that our robust inventory financing model can obtain a robust but not conservative solution.

Article information

J. Appl. Math., Volume 2014, Special Issue (2014), Article ID 236083, 9 pages.

First available in Project Euclid: 27 February 2015

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Wang, Yong; Zhou, Jixiang; Sun, Hailei; Jiang, Lin. Robust Inventory Financing Model with Partial Information. J. Appl. Math. 2014, Special Issue (2014), Article ID 236083, 9 pages. doi:10.1155/2014/236083.

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