Uncertain demand and the gathering of information: a discrete dynamic perspective

I study a dynamic production problem with uncertainty about demand in a monopolistic market regime. The monopolist’s objective is to find a production plan that maximizes the expected profit by balancing the incentive to increase revenues and the cost of information gathering. A closed solution is given under the assumption of a uniform probability distribution of demand. The optimal production in each period is shown to be an adaptive learning process.