Risk Aversion in Inventory Management

By Xin Chen, Melvyn Sim, David Simchi-Levi, Peng Sun. Operational Research, 2007

357 citations recorded by the source corpus.

Traditional inventory models focus on risk-neutral decision makers, i.e., characterizing replenishment strategies that maximize expected total profit, or equivalently, minimize expected total cost over a planning horizon. In this paper, we propose a framework for incorporating risk aversion in multiperiod inventory models as well as multiperiod models that coordinate inventory and pricing strategies. We show that the structure of the optimal policy for a decision maker with exponential utility functions is almost identical to the structure of the optimal risk-neutral inventory (and pricing) policies. These structural results are extended to models in which the decision maker has access to a (partially) complete financial market and can hedge its operational risk through trading financial securities. Computational results demonstrate that the optimal policy is relatively insensitive to small changes in the decision-maker's level of risk aversion.

Subfields: Finance, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/47df3c55fd229f2715e8c5ec9278bc944c47c1be

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Finance

  1. Yimin Wang
  2. Tsan-Ming (Jason) Choi
  3. Brian Tomlin
  4. Zuo-Jun Max Shen
  5. Chun-Hung Chiu

In Management Information Systems

  1. Tsan-Ming (Jason) Choi
  2. Chun-Hung Chiu
  3. Yimin Wang
  4. Lawrence V. Snyder
  5. Brian Tomlin
  6. Zuo-Jun Max Shen
  7. Siyuan Sun
  8. Amanda J. Schmitt

In Management Science and Operations Research

  1. Tsan-Ming (Jason) Choi
  2. Chun-Hung Chiu
  3. Zuo-Jun Max Shen
  4. Brian Tomlin
  5. Aysun Özler
  6. Fikri Karaesmen
  7. Yimin Wang
  8. Zhe George Zhang

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