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 inEuropean journal of operational research Vol. 265; no. 2; pp. 544 - 558
Main Authors Bulhões, Teobaldo, Hà, Minh Hoàng, Martinelli, Rafael, Vidal, Thibaut
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2018
Subjects
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ISSN0377-2217
1872-6860
DOI10.1016/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.
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
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  givenname: Minh Hoàng
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  surname: Martinelli
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  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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Issue 2
Keywords Integer programming
Routing
Collaborative logistics
Service level constraints
Genetic algorithms
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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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SubjectTerms Collaborative logistics
Genetic algorithms
Integer programming
Routing
Service level constraints
Title The vehicle routing problem with service level constraints
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