Abstract

In this paper, we consider a joint dynamic pricing and production policy for a stochastic inventory system with perishable products. The demand is stochastic and dependent on the price and the level of the on-hand inventory. Combined dynamic pricing and production control, a stochastic dynamic optimization model that maximizes the total discounted profit is built. Applying the stochastic optimal control theory, we formulate the problem of finding the optimal joint dynamic pricing and production schedule as the problem of solving a Hamilton-Jacobi-Bellman (HJB) equation. By solving the HJB equation, analytical solutions for optimal pricing and production rate are obtained. In addition, a numerical example is given to illustrate the validness of the theoretical results and sensitivity analysis on major system parameters is carried out.

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