Airline seat allocation with multiple nested fare classes
Operations Research
Revenue Management: Research Overview and Prospects
Transportation Science
Combined Pricing and Inventory Control Under Uncertainty
Operations Research
Optimal Policies of Yield Management with Multiple Predetermined Prices
Operations Research
Assessing the Benefits of Different Stock-Allocation Policies for a Make-to-Stock Production System
Manufacturing & Service Operations Management
Optimal Dynamic Pricing for Perishable Assets with Nonhomogeneous Demand
Management Science
Optimal Policies for Inventory Systems with Priority Demand Classes
Operations Research
Enabling the Willing: Consumer Rebates for Durable Goods
Marketing Science
Dynamic Capacity Management with Substitution
Operations Research
Hi-index | 0.00 |
In a multiple-customer-class model of demand fulfillment for a single item, we consider the use of dynamic price discounts to encourage backlogging of demand for customer classes denied immediate service. Customers are assumed to arrive over several stages in a period, and customer classes are distinguished by their contractual price and sensitivity to discounts. Through dynamic programming we determine the optimal discounts to offer, assuming a linear model for the sensitivity of customers to such inducements. We show that customers are served in class order, and allocation of inventory to demand is determined by considering the current number of customers backlogged, as well as the current inventory position. Through comparison to a naive supplier allocating inventory first come/first served with no discounting, we show that profits are primarily influenced by the allocation of capacity, and the use of price discounts primarily benefits the second-class customers overall fill rate. Heuristics for implementation of the solution in real-time settings are given.