  Quantum computing is expected to have transformative influences on many
domains, but its practical deployments on industry problems are underexplored.
We focus on applying quantum computing to operations management problems in
industry, and in particular, supply chain management. Many problems in supply
chain management involve large state and action spaces and pose computational
challenges on classic computers. We develop a quantized policy iteration
algorithm to solve an inventory control problem and demonstrative its
effectiveness. We also discuss in-depth the hardware requirements and potential
challenges on implementing this quantum algorithm in the near term. Our
simulations and experiments are powered by \texttt{IBM Qiskit} and the
\texttt{qBraid} system.
