96 citations · 147 across the 13 of their papers we have counts for
10 papers · 1 filter
Optimal Spectral Design with Prior Information
Anton J. Kleywegt, Johannes Milz, Mohit Singh +1
We study a class of spectral design problems in which a prior positive semidefinite information matrix is updated by a sum of rank-one matrices constructed from chosen design vecto…
Policies for the Operation of an Ambulance Fleet under Uncertainty based on a New Preparedness Metric
Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento
Two important decisions in the management of an ambulance fleet are ambulance selection decisions and ambulance reassignment decisions. Ambulance selection decisions determine what…
New Heuristics for the Operation of an Ambulance Fleet under Uncertainty
Vincent Guigues, Anton J. Kleywegt, Victor Hugo Nascimento
The operation of an ambulance fleet involves ambulance selection decisions about which ambulance to dispatch to each emergency, and ambulance reassignment decisions about what each…
Revenue Management Under the Markov Chain Choice Model with Joint Price and Assortment Decisions
Anton J. Kleywegt, Hongzhang Shao
Finding the optimal product prices and product assortment are two fundamental problems in revenue management. Usually, a seller needs to jointly determine the prices and assortment…
Operation of an ambulance fleet under uncertainty
Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento
We introduce two new optimization models for the dispatch of ambulances. The first model, called the ambulance selection problem, is used when an emergency call arrives to decide w…
Optimizing Pricing, Repositioning, En-Route Time, and Idle Time in Ride-Hailing Systems
Anton J. Kleywegt, Hongzhang Shao
In ride-hailing systems, en-route time refers to the time that elapses from the moment a car is dispatched to pick up a rider until the rider is picked up. A fundamental phenomenon…
Tractable Profit Maximization over Multiple Attributes under Discrete Choice Models
Hongzhang Shao, Anton J. Kleywegt
A fundamental problem in revenue management is to optimally choose the attributes of products, such that the total profit or revenue or market share is maximized. Usually, these at…
Joint Estimation of Discrete Choice Model and Arrival Rate with Unobserved Stock-out Events
Hongzhang Shao, Anton J. Kleywegt
This paper studies the joint estimation problem of a discrete choice model and the arrival rate of potential customers when unobserved stock-out events occur. In this paper, we gen…
Distributionally Robust Stochastic Optimization with Dependence Structure
Rui Gao, Anton J. Kleywegt
Distributionally robust stochastic optimization (DRSO) is a framework for decision-making problems under certainty, which finds solutions that perform well for a chosen set of prob…
Distributionally Robust Stochastic Optimization with Wasserstein Distance
Rui Gao, Anton J. Kleywegt
Distributionally robust stochastic optimization (DRSO) is an approach to optimization under uncertainty in which, instead of assuming that there is a known true underlying probabil…