The rise of e-commerce has increased the demands placed on pickup and delivery operations, as well as customer expectations regarding the quality of services provided by those operations. One strategy a logistics provider can employ for meeting these increases in …
© 2020 IEEE.Recent advancements in cloud computing have driven rapid development in data-intensive smart city applications by providing near real time processing and storage scalability. This has resulted in efficient centralized route planning services such as Google Maps, upon which …
We present a new solution approach for the time-dependent traveling salesman problem with time windows. This problem considers a salesman who departs from his home, has to visit a number of cities within a predetermined period of time, and then, …
In this paper, we study a single-vehicle routing problem with stochastic service times, stochastic time-dependent travel times, and soft time windows, where the travel times may be interdependent. The objective is to minimize the expected route duration plus penalties for …
This paper provides a framework for solving the Time Dependent Vehicle Routing Problem (TDVRP) by using historical data. The data are used to predict travel times during certain times of the day and derive zones of congestion that can…
© 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.In delivering perishable goods, certain unexpected disruptive events may cause the initial routing scheme to be infeasible. A new routing scheme must be generated quickly to alleviate delivery disturbances. …
Given a graph whose arc traversal times vary over time, the Time-Dependent Travelling Salesman Problem amounts to find a Hamiltonian tour of least total duration. In this paper we exploit a new degree of freedom in the Cordeau et al. …
© 2019 Elsevier B.V.The time-dependent vehicle routing problem with time windows (TDVRPTW) is examined in this study. A mathematical model for the TDVRPTW is formulated by considering the time-dependent vehicle speeds, capacity, travel time, wait time, customer demand, service time, …
In recent years, there have been several attempts to use machine learning techniques to improve the performance of exact and approximate optimization algorithms. Along this line of research, the present paper shows how supervised and unsupervised techniques can be used …
The Inventory Routing Problem (IRP) is an integration of two operational problems: inventory management and routing. The Time-Dependent Travel-Time Constrained (TD-TC-IRP) is a new proposed variant of the IRP where the travelling time between two locations depend on the time …