Chun Peng – Optimization Online

Two-Stage Robust Telemedicine Assignment Problem with Uncertain Service Duration and No-Show Behaviours

Published: 2021/05/01, Updated: 2022/04/29

Applications - OR and Management Sciences, Robust Optimization, Scheduling mixed-integer linear programming, nested column-and-constraint generation, no-show behaviours, telemedicine assignment, two-stage robust optimization, uncertain service duration

The current pandemic of COVID-19 has caused significant strain on medical center resources, which are the main places to provide the rapid response to COVID-19 through the adoption of telemedicine. Thus healthcare managers must make an effective assignment plan for the patients and telemedical doctors when providing telemedicine services. Motivated by this, we present the … Read more

Data-Driven Optimization with Distributionally Robust Second-Order Stochastic Dominance Constraints

Published: 2020/12/23, Updated: 2021/12/16

Chun Peng

Erick Delage

Robust Optimization distributionally robust optimization, out-of-sample ssd feasibility, robust stochastic dominance

Optimization with stochastic dominance constraints has recently received an increasing amount of attention in the quantitative risk management literature. Instead of requiring that the probabilistic description of the uncertain parameters be exactly known, this paper presents the first comprehensive study of a data-driven formulation of the distributionally robust second-order stochastic dominance constrained problem (DRSSDCP) that … Read more

Probabilistic Envelope Constrained Multiperiod Stochastic Emergency Medical Services Location Model and Decomposition Scheme

Published: 2018/07/27, Updated: 2019/07/31

Erick Delage

Jinlin Li

Chun Peng

Production and Logistics, Stochastic Programming, Transportation branch-and-benders-cut, dynamic ambulance location, emergency medical services, probabilistic envelope constraint, time-dependent uncertainty, two-stage chance-constrained stochastic programming

This paper considers a multiperiod Emergency Medical Services (EMS) location problem and introduces two two-stage stochastic programming formulations that account for uncertainty about emergency demand. While the first model considers both a constraint on the probability of covering the realized emergency demand and minimizing the expected cost of doing so, the second one employs probabilistic … Read more