Rich vehicle routing problem with last-mile outsourcing decisions
This paper addresses a Rich Vehicle Routing Problem (RVRP) characterized by the following attributes: long-haul transport, driver hours regulation, incompatibility among goods, multiple depots and pickup locations, heterogeneous vehicles, time windows, and outsourcing decisions for last-mile delivery. Addressing the latter aspect is especially challenging, since it requires substantial changes in the algorithms for generating initial feasible solutions (construction heuristic) and for modifying existing solutions (improvement heuristics). The authors' work develops new heuristics adapted to the above attributes, and evaluates their performance in combination with common solving metaheuristics. The authors also assess the impact and the cost-effectiveness of the outsourcing attribute.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Alcaraz, Juan J
- Caballero-Arnaldos, Luis
- Vales-Alonso, Javier
- Publication Date: 2019-9
Language
- English
Media Info
- Media Type: Web
- Features: References; Tables;
- Pagination: pp 263-286
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 129
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Algorithms; Contracting out; Decision making; Delivery service; Heuristic methods; Routing; Supply chain management
- Identifier Terms: Vehicle Routing Problem
- Subject Areas: Freight Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01720338
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 23 2019 4:36PM