Similar Search Results

An asymptotically optimal algorithm for online stacking

Olsen, Martin; Andersen, Lars Nørvang; Gross, Allan - In: Mathematical methods of operations research : ZOR 97 (2023) 2, pp. 161-178

Persistent link: https://www.econbiz.de/10014334511

Network revenue management: some issues on upper and lower bounds

Müller-Bungart, Michael - In: Operations research proceedings 2003 : selected papers …, (pp. 23-30). 2004

Persistent link: https://www.econbiz.de/10002071765

Network Revenue Management with Online Inverse Batch Gradient Descent Method

Chen, Yiwei; Shi, Cong - 2022

stochastic gradient descent based methods in the price space. We propose a novel nonparametric learning algorithm termed online … inverse batch gradient descent (IGD) algorithm. This algorithm proceeds in batches. In each batch, the firm implements each … the prices for the next batch. Moreover, we also propose an inventory adjusted algorithm (IGD-I) that the feasible market …

Persistent link: https://www.econbiz.de/10014108258

Discrete dynamic pricing and application of network revenue management for FlixBus

Barz, Christiane; Laumer, Simon; Freyschmidt, Marcel; … - In: Journal of revenue and pricing management 22 (2023) 1, pp. 16-33

Persistent link: https://www.econbiz.de/10013556581

Optimizing the Conditional Value-at-Risk in Revenue Management

Gönsch, Jochen - 2014

Many service industries use revenue management to balance demand and capacity. The assumption of risk-neutrality lies at the heart of the classical approaches, which aim at maximizing expected revenue. In this paper, we give a comprehensive overview of the existing approaches, most of which were...

Persistent link: https://www.econbiz.de/10013064213

Robust Assortment Revenue Optimization and Satisficing

Hu, Bin; Jin, Qingwei; Long, Daniel Zhuoyu - 2022

We consider an assortment optimization problem where the retailer needs to choose a set of products to offer to customers from the range of available products. By choosing the assortment, which will affect customers' purchase choice, the retailer aims to obtain a high expected revenue. We study...

Persistent link: https://www.econbiz.de/10014237397