Compact Formulations for Split Delivery Routing Problems
Split delivery routing problems are concerned with serving the demand of a set of customers with a fleet of capacitated vehicles at minimum cost, where a customer can be served by more than one vehicle if beneficial. They generalize traditional variants of routing problems and have applications in commercial and humanitarian logistics. Previously, formulations involving only commonly used arc-based variables have provided only relaxations for split delivery variants, as the possibility of visiting customers more than once introduces modeling challenges. The only known compact formulations are based on variables indexed by vehicle or by visit number and perform poorly when using general-purpose integer programming software. The authors present compact formulations that avoid the use of these types of variables and that can model split delivery routing problems with and without time windows. Computational experiments demonstrate their superior performance over existing compact formulations. The authors also develop a branch-and-cut algorithm that balances the efficiency derived from a relaxed formulation with the strength derived from one of the proposed formulations and demonstrate its efficacy on a large set of benchmark instances. The algorithm solves 95 instances to proven optimality for the first time and improves the best known lower and/or upper bound for many other instances.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1767714
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Supplemental Notes:
- doi: 10.1287/trsc.2021.1106 Abstracts reprinted with permission of INFORMS (Institute for Operations Research and the Management Sciences, http://www.informs.org).
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Authors:
- Munari, Pedro
- Savelsbergh, Martin
- Publication Date: 2022-7
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 1022-1043
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Serial:
- Transportation Science
- Volume: 56
- Issue Number: 4
- Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
- ISSN: 0041-1655
- Serial URL: http://transci.journal.informs.org/
Subject/Index Terms
- TRT Terms: Delivery service; Modal split; Optimization; Routing
- Subject Areas: Freight Transportation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01857524
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 13 2022 9:10AM