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Autores principales: Bilenne, Olivier, Meunier, Frédéric
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2511.21518
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author Bilenne, Olivier
Meunier, Frédéric
author_facet Bilenne, Olivier
Meunier, Frédéric
contents A company provides a service at different time slots, each slot being endowed with a capacity. A non-atomic population of users is willing to purchase this service. The population is modeled as a continuous measure over the preferred times. Every user looks at the time slot that minimizes the sum of the price assigned by the company to this time slot and the distance to their preferred time. If this sum is non-negative, then the user chooses this time slot for getting the service. If this sum is positive, then the user rejects the service. We address the problem of finding prices that ensure that the volume of users choosing each time slot is below capacity, while maximizing the revenue of the company. For the case where the distance function is convex, we propose an exact algorithm for solving this problem in time $O(n^3|P|^3)$, where $P$ is the set of possible prices and $n$ is the number of time slots. For the case where the prices can be any real numbers, this algorithm can also be used to find asymptotically optimal solutions in polynomial time under mild extra assumptions on the distance function and the measure modeling the population.
format Preprint
id arxiv_https___arxiv_org_abs_2511_21518
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An Exact Method for a Problem of Time Slot Pricing
Bilenne, Olivier
Meunier, Frédéric
Optimization and Control
90B50
A company provides a service at different time slots, each slot being endowed with a capacity. A non-atomic population of users is willing to purchase this service. The population is modeled as a continuous measure over the preferred times. Every user looks at the time slot that minimizes the sum of the price assigned by the company to this time slot and the distance to their preferred time. If this sum is non-negative, then the user chooses this time slot for getting the service. If this sum is positive, then the user rejects the service. We address the problem of finding prices that ensure that the volume of users choosing each time slot is below capacity, while maximizing the revenue of the company. For the case where the distance function is convex, we propose an exact algorithm for solving this problem in time $O(n^3|P|^3)$, where $P$ is the set of possible prices and $n$ is the number of time slots. For the case where the prices can be any real numbers, this algorithm can also be used to find asymptotically optimal solutions in polynomial time under mild extra assumptions on the distance function and the measure modeling the population.
title An Exact Method for a Problem of Time Slot Pricing
topic Optimization and Control
90B50
url https://arxiv.org/abs/2511.21518