model for log-linear and linear demand functions. We prove that for such profitmaximizing models, the optimal batch size is … highly price-sensitive and non-linear demand. Moreover, we establish that, in general, the profit penalty for not including … inventory costs in determining the optimal batch size, or ignoring the batch size optimization issue in a mark-up price model is …

period, the firm determines its selling price and inventory replenishment quantity, but it knows neither the form of demand … learning and action in a sense that the firm actively experiments on pricing and inventory levels to collect demand information …. Demand in each period is stochastic and price-dependent, and unsatisfied demands are backlogged. At the beginning of each …

We consider a joint pricing and inventory control problem in which the customer's response to selling price and the … demand distribution are not known a priori. Unsatisfied demand is lost and unobserved, and the only available information for … decision-making is the observed sales data (a.k.a. censored demand). Conventional approaches, such as stochastic approximation …

We consider a retail firm selling a durable product in a volatile market where the demand is price-sensitive and random … but its distribution is unknown. The firm dynamically replenishes inventory and adjusts prices over time and learns about … the demand distribution. Assuming that the demand model is of the multiplicative form and unmet demand is partially …

We consider the periodic review dynamic pricing and inventory control problem with fixed ordering cost. Demand is … function of on-hand inventory level, characterizes the pricing strategy. In this paper, we consider incomplete demand … random and price dependent, and unsatisfied demand is backlogged. With complete demand information, the celebrated (s …