Robust Inventory Financing Model with Partial Information

Joint Authors

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

Source

Journal of Applied Mathematics

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-11

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Wang, Yong& Zhou, Jixiang& Sun, Hailei& Jiang, Lin. 2014. Robust Inventory Financing Model with Partial Information. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-456119

Modern Language Association (MLA)

Wang, Yong…[et al.]. Robust Inventory Financing Model with Partial Information. Journal of Applied Mathematics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-456119

American Medical Association (AMA)

Wang, Yong& Zhou, Jixiang& Sun, Hailei& Jiang, Lin. Robust Inventory Financing Model with Partial Information. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-456119

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-456119