Adaptive large neighborhood search for the vehicle routing problem with synchronization constraints at the delivery location

Author(s)
Briseida Sarasola, Karl Franz Dörner
Abstract

A vehicle routing problem with synchronization constraints arises in urban freight transportation, in which context customers require deliveries from one or more logistics service providers. These deliveries should be efficient to reduce idle times at the delivery locations. Idle time is defined as nonservice time between the first and the last delivery received by the customer. We propose a strategy which relies on self-imposed time windows, and we compare our approach with an exact determination of a feasible schedule and fixed time windows. The results show that idle times can be reduced by 54.12%-79.77%, with an average cost rise of 9.87%. In addition, self-imposed time windows provide solutions with 15.74%-21.43% lower costs than feasibility checks for short runtimes and 13.71%-21.15% lower than fixed time windows.

Organisation(s)
Department of Business Decisions and Analytics, Department of Accounting, Innovation and Strategy, Research Network Data Science
Journal
Networks (New York): an international journal
Volume
75
Pages
64-85
No. of pages
22
ISSN
0028-3045
DOI
https://doi.org/10.1002/net.21905
Publication date
2018
Peer reviewed
Yes
Austrian Fields of Science 2012
101015 Operations research, 502017 Logistics
Keywords
ASJC Scopus subject areas
Software, Information Systems, Hardware and Architecture, Computer Networks and Communications
Sustainable Development Goals
SDG 11 - Sustainable Cities and Communities
Portal url
https://ucris.univie.ac.at/portal/en/publications/adaptive-large-neighborhood-search-for-the-vehicle-routing-problem-with-synchronization-constraints-at-the-delivery-location(312e826e-7aa3-4154-bb4f-fb9bc8b24612).html