The familiarity between driver and customer determines the service time required for each visit, with this time decreasing as familiarity increases. Familiarity is assumed to be binary. If a customer is served by an unfamiliar driver, this driver then gains familiarity with that customer for future visits.
Oct 16, 2020
Oct 16, 2020 · This paper studies the effects of familiarity between drivers and customers. A Markov decision process is presented to model the stochastic and dynamic problem.
Our methodology utilizes a policy that explicitly invests in the familiarity between selected driver-customer pairs, encouraging the development of pairs that ...
Our methodology utilizes a policy that explicitly invests in the familiarity between selected driver-customer pairs, encouraging the development of pairs that ...
Oct 16, 2020 · Binary Driver-Customer Familiarity in Service Routing ; Publication Title. European Journal of Operational Research ; Volume. 286 ; Issue. 2 ; Pages.
This study covers situations in which random day-to-day customer demands complicate decisions made by managers of vehicle routing/dispatch operations.
May 3, 2024 · This paper proposes a deep reinforcement learning (DRL)-based framework for a novel variant of technician routing and scheduling problem.
Moreover, drivers tend to get lost and/or often travel on roads that are not suitable for their delivery vehicles when they are unfamiliar with delivery routes, ...
Feb 1, 2023 · The route planner needs to take the familiarity-dependent service times into account and/or proactively develop the familiarity to improve long ...
Deep Reinforcement Learning for Solving Multi-period Routing Problem with Binary Driver-customer Familiarity. X Ding, H Liu, X Chen. Proceedings of the 2023 ...