Explainability through uncertainty: Trustworthy decision-making with neural networks

A Thuy, DF Benoit - European Journal of Operational Research, 2024 - Elsevier
Uncertainty is a key feature of any machine learning model and is particularly important in
neural networks, which tend to be overconfident. This overconfidence is worrying under …

A novel two-stage dynamic pricing model for logistics planning using an exploration–exploitation framework: A multi-armed bandit problem

M Tajik, BM Tosarkani, A Makui, R Ghousi - Expert Systems with …, 2024 - Elsevier
Dynamic pricing is utilized as a tool for determining pricing strategies in different sectors,
such as the food industries, airline companies, and transportation services. Dynamic pricing …

Bayesian non-parametric method for decision support: Forecasting online product sales

Z Wu, X Chen, Z Gao - Decision support systems, 2023 - Elsevier
Forecasting online product sales is essential for retailers and e-commerce platforms, but it
can be challenging owing to the complex dynamics and mixed trends in sales data. Popular …

[HTML][HTML] Novel pricing strategies for revenue maximization and demand learning using an exploration–exploitation framework

D Elreedy, AF Atiya, SI Shaheen - Soft Computing, 2021 - Springer
The price demand relation is a fundamental concept that models how price affects the sale
of a product. It is critical to have an accurate estimate of its parameters, as it will impact the …

[HTML][HTML] Unconstrained estimation of multitype car rental demand

Y Yang, A Ceder, W Zhang, H Tang - Applied Sciences, 2021 - mdpi.com
The unconstrained demand forecast for car rentals has become a difficult problem for
revenue management due to the need to cope with a variety of rental vehicles, the strong …

航班需求预测方法研究综述

陈良玉, 高随祥 - 工程研究, 2022 - pubs.cstam.org.cn
随着我国民航市场规模的快速增长, 民航业面临日益激烈的竞争. 引入科学有效的收益管理系统
是各大航空公司应对激烈竞争的有效手段. 航班需求预测是收益管理系统进行动态定价和舱位 …

Single-dimensional leg-level dynamic programming with booking-time dependent cancellation probabilities for revenue management

D Hopman, G Koole, R Mei - International Journal of …, 2022 - inderscienceonline.com
In this paper, an optimisation method is introduced that accounts for cancellations. We do so
by estimating the opportunity cost of a booking between the time of booking and the …

Data Analytics of Human Behaviors with Applications

M Aguirre - 2023 - deepblue.lib.umich.edu
This dissertation presents a comprehensive analysis of human behaviors with an emphasis
on practical methods that generate a positive societal impact with regards to driving safety …

Data-Driven Dynamic Pricing of Airline Upgrades

T Stewen - 2021 - aaltodoc.aalto.fi
The airline industry is highly competitive with costly operations. These factors, combined
with the advances in technology and varying kinds of customers, have led to the …

the real theory and practice of revenue management

DS Hopman - 2020 - research.vu.nl
This thesis discusses the real theory and practice of revenue management (RM). Over the
past few decades, there has been extensive research in RM that has led to interesting …