Abstract
Postal and courier companies are under the pressure of minimizing operational costs while meeting requests for increasingly high service levels. We model their delivery problem as a dynamic multi-period general routing problem (DMPGRP) with the aim of minimizing the total cost over a given planning horizon. In most modern delivery systems, fluctuating demand volumes dynamically reveal themselves over time; in addition, service differentiation is highly important. Both these characteristics are considered in our DMPGRP. An effective solution strategy for this problem selects demands that must be fulfilled day by day, after distinguishing them according to priority classes. It then constructs the vehicle routes by using a heuristic algorithm based on the adaptive large neighbourhood search. The results of an extensive computational study are reported.
Original language | English |
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Article number | 105195 |
Journal | Computers and Operations Research |
Volume | 129 |
Early online date | 24 Dec 2020 |
DOIs | |
Publication status | Published - May 2021 |
Bibliographical note
Funding Information:The work by Gilbert Laporte was partly supported by the Canadian Natural Sciences and Engineering Research Council under grant 2015–06189. This support is gratefully acknowledged. Thanks are due to the Associate Editor and to the reviewers for their valuable comments.
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
- Adaptive large neighbourhood search
- Delivery service
- Mixed capacitated general routing problem
- Sustainability
- Public sector
ASJC Scopus subject areas
- General Computer Science
- Modelling and Simulation
- Management Science and Operations Research