[HTML][HTML] Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems
NK Erkip - European Journal of Operational Research, 2023 - Elsevier
In this review, we discuss the data-driven systems and their effects on the implementation of
the inventory theory. After overviewing the theory briefly, we group the data-driven …
the inventory theory. After overviewing the theory briefly, we group the data-driven …
Online learning and pricing for service systems with reusable resources
We consider a price-based revenue management problem with finite reusable resources
over a finite time horizon T. Customers arrive following a price-dependent Poisson process …
over a finite time horizon T. Customers arrive following a price-dependent Poisson process …
Phase transitions and cyclic phenomena in bandits with switching constraints
D Simchi-Levi, Y Xu - Advances in Neural Information …, 2019 - proceedings.neurips.cc
We consider the classical stochastic multi-armed bandit problem with a constraint on the
total cost incurred by switching between actions. Under the unit switching cost structure …
total cost incurred by switching between actions. Under the unit switching cost structure …
Data-based dynamic pricing and inventory control with censored demand and limited price changes
A firm makes pricing and inventory replenishment decisions for a product over T periods to
maximize its expected total profit. Demand is random and price sensitive, and unsatisfied …
maximize its expected total profit. Demand is random and price sensitive, and unsatisfied …
Online learning and pricing with reusable resources: Linear bandits with sub-exponential rewards
We consider a price-based revenue management problem with reusable resources over a
finite time horizon $ T $. The problem finds important applications in car/bicycle rental …
finite time horizon $ T $. The problem finds important applications in car/bicycle rental …
Mind the gap between research and practice in operations management
The mission of the Institute of Industrial and Systems Engineers (IISE) is to serve those who
solve complex and critical problems of the world. Notably, the research–practice gap in …
solve complex and critical problems of the world. Notably, the research–practice gap in …
Novel pricing strategies for revenue maximization and demand learning using an exploration–exploitation framework
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 …
of a product. It is critical to have an accurate estimate of its parameters, as it will impact the …
Dynamic pricing with external information and inventory constraint
A merchant dynamically sets prices in each time period when selling a product over a finite
time horizon with a given initial inventory. The merchant utilizes new external information …
time horizon with a given initial inventory. The merchant utilizes new external information …
Demand learning and pricing for varying assortments
KJ Ferreira, E Mower - Manufacturing & Service Operations …, 2023 - pubsonline.informs.org
Problem definition: We consider the problem of demand learning and pricing for retailers
who offer assortments of substitutable products that change frequently, for example, due to …
who offer assortments of substitutable products that change frequently, for example, due to …
Warranty reserve management: Demand learning and funds pooling
Problem definition: Warranty reserves are funds used to fulfill future warranty obligations for
a product. In this paper, we investigate the warranty reserve planning problem faced by a …
a product. In this paper, we investigate the warranty reserve planning problem faced by a …