Due to the ubiquitous real-world applications of logistics and supply chain management
over the past two decades, dynamic pickup and delivery problems (DPDPs), as a subclass …

Purpose The purpose of this paper is twofold: first, to review the extant academic literature
on on-demand food delivery (ODFD) services, ie the delivery of freshly prepared meals from …

Since the early 2010s, the meal delivery business went through a veritable revolution due to
online food delivery platforms. By allowing customers to quickly order from a wide range of …

We consider a stochastic dynamic pickup and delivery problem in which a fleet of drivers
delivers food from a set of restaurants to ordering customers. The objective is to dynamically …

Online restaurant aggregators with integrated meal delivery networks have become more
common and more popular in the past few years. Meal delivery is arguably the ultimate …

Providing ride-hailing services with electric vehicles can help reduce greenhouse gas
emissions and solve the last mile problem. This paper develops a reinforcement learning …

Abstract Services like Grubhub and UberEats have revolutionized the way that diners can
find and order from restaurants. The standard business model for such services, however …

The success of on-demand service platforms, eg, Uber and Lyft to obtain a ride and Grubhub
and Eat24 to get a meal, which rely on crowd-sourced transportation capacity, has radically …

Online food delivery has transformed the last-mile of food and grocery delivery, with
unnoticed yet often significant impacts upon the transport and logistics network. This new …

This paper presents an economic analysis of on-demand food-delivery platforms and
investigates management strategies that protect restaurant owners and for-hire gig workers …