Inventory and investment in setup operations under return on investment maximization

doi:10.1016/S0305-0548(98)00095-1

Computers & Operations Research

Volume 26, Issue 9, August 1999, Pages 883-899

https://doi.org/10.1016/S0305-0548(98)00095-1 Get rights and content

Abstract

In this paper, we construct and analyze inventory and investment in setup operations policies under return on investment (ROI) maximization. The key contributing features of this paper are the establishment of an ROI model and characterization of the unique global optimal solution when there exists an option to invest in setup operations. We also show how the inventory level is reduced when it is optimal to invest additional money in setup operations and derive the unique optimal solutions in closed-form when the setup cost is a rational or linear function of the level of investment. Various interesting managerial insights are provided.

Scope and purpose

Capital investment in setup operations has been widely investigated so as to reduce inventory in accordance with just-in-time (JIT) philosophy. Meanwhile, for finished goods, the return on investment (ROI) is widely used as a financial performance criterion. The purpose of this paper is to design and analyse a capital investment model under ROI maximization. Specifically, this paper analytically and quantitatively shows how inventory may be reduced via investment in setup operations and how optimal inventory and investment decisions can be derived and characterized.

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Cited by (18)

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Citation Excerpt :
Later, Trietsch (1995) adapted the economic order quantity model to the objective of maximizing return on investment in inventory. Since then, Otake et al. (1999), Li et al. (2008), Choi and Chiu (2012), and Hidayat and Fauzi (2015) are some of the papers in this research line. Recently, Pando et al. (2019) and Pando et al. (2020) obtained the optimal policy with the maximum return on inventory management expense in both inventory models with stock-dependent demand rate and non-linear holding cost.
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