The vehicle routing problem with service level constraints
•We introduce a routing problem with customer selection and service level constraints.•We present a compact mathematical formulation and a branch-and-price algorithm.•We design an efficient hybrid genetic search with problem-tailored operators.•The proposed methods generate high-quality solutions fo...
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Published in | European journal of operational research Vol. 265; no. 2; pp. 544 - 558 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.03.2018
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Subjects | |
Online Access | Get full text |
ISSN | 0377-2217 1872-6860 |
DOI | 10.1016/j.ejor.2017.08.027 |
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Abstract | •We introduce a routing problem with customer selection and service level constraints.•We present a compact mathematical formulation and a branch-and-price algorithm.•We design an efficient hybrid genetic search with problem-tailored operators.•The proposed methods generate high-quality solutions for a large variety of instances.•The best results known for two important subproblems are improved.
We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services for a limited number of partners and should respect contractual obligations on service levels. The problem also generalizes several important classes of vehicle routing problems with profits. To solve it, we propose a compact mathematical formulation, a branch-and-price algorithm, and a hybrid genetic algorithm with population management, which relies on problem-tailored solution representation, crossover and local search operators, as well as an adaptive penalization mechanism establishing a good balance between service levels and costs. Our computational experiments show that the proposed heuristic returns very high-quality solutions for this difficult problem, matches all optimal solutions found for small and medium-scale benchmark instances, and improves upon existing algorithms for two important special cases: the vehicle routing problem with private fleet and common carrier, and the capacitated profitable tour problem. The branch-and-price algorithm also produces new optimal solutions for all three problems. |
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AbstractList | •We introduce a routing problem with customer selection and service level constraints.•We present a compact mathematical formulation and a branch-and-price algorithm.•We design an efficient hybrid genetic search with problem-tailored operators.•The proposed methods generate high-quality solutions for a large variety of instances.•The best results known for two important subproblems are improved.
We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services for a limited number of partners and should respect contractual obligations on service levels. The problem also generalizes several important classes of vehicle routing problems with profits. To solve it, we propose a compact mathematical formulation, a branch-and-price algorithm, and a hybrid genetic algorithm with population management, which relies on problem-tailored solution representation, crossover and local search operators, as well as an adaptive penalization mechanism establishing a good balance between service levels and costs. Our computational experiments show that the proposed heuristic returns very high-quality solutions for this difficult problem, matches all optimal solutions found for small and medium-scale benchmark instances, and improves upon existing algorithms for two important special cases: the vehicle routing problem with private fleet and common carrier, and the capacitated profitable tour problem. The branch-and-price algorithm also produces new optimal solutions for all three problems. |
Author | Bulhões, Teobaldo Hà, Minh Hoàng Vidal, Thibaut Martinelli, Rafael |
Author_xml | – sequence: 1 givenname: Teobaldo surname: Bulhões fullname: Bulhões, Teobaldo email: teojuniorpb@gmail.com, tbulhoes@ic.uff.br organization: Instituto de Computação, Universidade Federal Fluminense, Niterói, Brazil – sequence: 2 givenname: Minh Hoàng surname: Hà fullname: Hà, Minh Hoàng email: minhhoang.ha@vnu.edu.vn organization: University of Engineering and Technology, Vietnam National University, Hanoi, Viet Nam – sequence: 3 givenname: Rafael orcidid: 0000-0001-5715-149X surname: Martinelli fullname: Martinelli, Rafael email: martinelli@puc-rio.br organization: Departamento de Engenharia Industrial, Pontifícia Universidade Católica do Rio de Janeiro, Brazil – sequence: 4 givenname: Thibaut orcidid: 0000-0001-5183-8485 surname: Vidal fullname: Vidal, Thibaut email: vidalt@inf.puc-rio.br organization: Departamento de Informática, Pontifícia Universidade Católica do Rio de Janeiro, Brazil |
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Keywords | Integer programming Routing Collaborative logistics Service level constraints Genetic algorithms |
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based on spanning tree and shortest path relaxations publication-title: Mathematical Programming doi: 10.1007/BF01589353 |
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Snippet | •We introduce a routing problem with customer selection and service level constraints.•We present a compact mathematical formulation and a branch-and-price... |
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StartPage | 544 |
SubjectTerms | Collaborative logistics Genetic algorithms Integer programming Routing Service level constraints |
Title | The vehicle routing problem with service level constraints |
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