Choice models are widely applied in psychology, economics, transportation, marketing and operations studies. We review the existing developments on the modeling of consumers' choices, including the attraction model, the utility-based model, the temporal model, and the rank-based model. The...

Problem definition: Many cities worldwide are embracing electric vehicle (EV) sharing as a flexible and sustainable means of urban transit. However, it remains challenging for the operators to charge the fleet due to limited or costly access to charging facilities. In this paper, we focus on...

Problem definition: In this paper, we study the fleet repositioning problem for a free-float vehicle sharing system, aiming to dynamically match the vehicle supply and travel demand at the lowest total cost of repositioning and lost sales.Academic/Practical relevance: Besides the analytical...

We study how delivery data can be applied to improve the on-time performance of last mile delivery services. Motivated by the delivery operations and data of a food delivery service provider, we discuss a framework that integrates the travel time predictors with the order assignment...

Hydrogen fuel-cell vehicles (HFVs) have been proposed as a promising green transportation alternative. For regions with renewable energy curtailment (due to insufficient demand or lack of transmission capacity), promoting HFVs can achieve the dual benefit of reducing curtailment of renewables...

We study the electric vehicle charging management of a service provider, which faces stochastic arrival of customers as well as a total electricity cost including demand charges (costs related to the highest per-period electricity used in a finite horizon). We formulate the problem of scheduling...

Problem definition: Observing the retail industry inevitably evolving into omnichannel, we study an offline-channel planning problem that helps an omnichannel retailer make store location and location-dependent assortment decisions in its offline channel to maximize profit across both online and...

We study the reliable (uncapacitated) facility location (RFL) problem in a data-driven environment where historical observations of random demands and disruptions are available. Owing to the combinatorial optimization nature of the RFL problem and the mixed-binary randomness of parameters...

General upgrading is a strategy that a firm can upgrade a customer with any higher-end product whenever a lower-end product is out-of-stock. In this paper, we consider the capacity planning problem to decide the initial capacity for multiple products to maximize the expected total profit when...