Saved in:
Bibliographic Details
Main Authors: Banerjee, Dipayan, Erera, Alan, Toriello, Alejandro
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.11443
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866910741231042560
author Banerjee, Dipayan
Erera, Alan
Toriello, Alejandro
author_facet Banerjee, Dipayan
Erera, Alan
Toriello, Alejandro
contents We study the finite-horizon continuous-time dynamic yield management problem with stationary arrival rates and two customer types. We consider a class of linear threshold policies proposed by Hodge (2008), in which each less-profitable customer is accepted if and only if the remaining inventory exceeds a threshold that linearly decreases over the horizon. We use a Markov chain representation to show that such policies achieve uniformly bounded regret. We then generalize this result to analogous policies for arbitrarily many customer types.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11443
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On Linear Threshold Policies for Continuous-Time Dynamic Yield Management
Banerjee, Dipayan
Erera, Alan
Toriello, Alejandro
Optimization and Control
90B99
We study the finite-horizon continuous-time dynamic yield management problem with stationary arrival rates and two customer types. We consider a class of linear threshold policies proposed by Hodge (2008), in which each less-profitable customer is accepted if and only if the remaining inventory exceeds a threshold that linearly decreases over the horizon. We use a Markov chain representation to show that such policies achieve uniformly bounded regret. We then generalize this result to analogous policies for arbitrarily many customer types.
title On Linear Threshold Policies for Continuous-Time Dynamic Yield Management
topic Optimization and Control
90B99
url https://arxiv.org/abs/2403.11443