Optimal strategies in a production-inventory control model
Pablo Azcue, Esther Frostig, Nora Muler

TL;DR
This paper analyzes an optimal production-inventory control model with finite capacity, multiple production rates, and switching costs, deriving the optimal strategies and cost functions using Hamilton-Jacobi-Bellman equations and variational inequalities.
Contribution
It introduces a verification framework for the optimal control problem, characterizes the optimal switching regions, and proposes finite band strategies, showing cases where previous strategies are suboptimal.
Findings
Optimal cost functions satisfy Hamilton-Jacobi-Bellman equations in a viscosity sense.
Switching regions depend only on current inventory and production rate.
Finite band strategies can be explicitly derived using scale functions.
Abstract
We consider a production-inventory control model with finite capacity and two different production rates, assuming that the cumulative process of customer demand is given by a compound Poisson process. It is possible at any time to switch over from the different production rates but it is mandatory to switch-off when the inventory process reaches the storage maximum capacity. We consider holding, production, shortage penalty and switching costs. This model was introduced by Doshi, Van Der Duyn Schouten and Talman in 1978. Our aim is to minimize the expected discounted cumulative costs up to infinity over all admissible switching strategies. We show that the optimal cost functions for the different production rates satisfy the corresponding Hamilton-Jacobi-Bellman system of equations in a viscosity sense and prove a verification theorem. The way in which the optimal cost functions solve…
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Taxonomy
TopicsSupply Chain and Inventory Management
