Constraint programming-based solution approaches for three-dimensional loading capacitated vehicle routing problems

•Novel Constraint Programming (CP) models are proposed for the 3l-CVRP.•CP based decomposition models are more effective than the MIP model.•A hybrid CP model is proposed for large-size problems.•New best solutions are obtained for 36 benchmark instances. This paper presents constraint programming-b...

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Vydáno v:Computers & industrial engineering Ročník 171; s. 108505
Hlavní autoři: Küçük, Mustafa, Topaloglu Yildiz, Seyda
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.09.2022
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ISSN:0360-8352, 1879-0550
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Abstract •Novel Constraint Programming (CP) models are proposed for the 3l-CVRP.•CP based decomposition models are more effective than the MIP model.•A hybrid CP model is proposed for large-size problems.•New best solutions are obtained for 36 benchmark instances. This paper presents constraint programming-based solution approaches for the three-dimensional loading capacitated vehicle routing problem (3l-CVRP) that consists of vehicle routing and three-dimensional loading problems in distribution logistics. Despite the practical benefits in the logistics world, the 3l-CVRP has not been extensively studied in the literature for its high combinatorial complexity. Therefore, we developed integrated and decomposed constraint programming-based solution methods in this study. The decomposed models outperformed the mixed-integer programming model proposed earlier in the literature for small-size problems. Furthermore, we solved the well-known benchmark problems with a decomposed model using constraint programming for the vehicle routing part of the problem and an evolutionary algorithm for the loading part. The computational study results show that the best-known results are improved in 36 of 93 problems.
AbstractList •Novel Constraint Programming (CP) models are proposed for the 3l-CVRP.•CP based decomposition models are more effective than the MIP model.•A hybrid CP model is proposed for large-size problems.•New best solutions are obtained for 36 benchmark instances. This paper presents constraint programming-based solution approaches for the three-dimensional loading capacitated vehicle routing problem (3l-CVRP) that consists of vehicle routing and three-dimensional loading problems in distribution logistics. Despite the practical benefits in the logistics world, the 3l-CVRP has not been extensively studied in the literature for its high combinatorial complexity. Therefore, we developed integrated and decomposed constraint programming-based solution methods in this study. The decomposed models outperformed the mixed-integer programming model proposed earlier in the literature for small-size problems. Furthermore, we solved the well-known benchmark problems with a decomposed model using constraint programming for the vehicle routing part of the problem and an evolutionary algorithm for the loading part. The computational study results show that the best-known results are improved in 36 of 93 problems.
ArticleNumber 108505
Author Topaloglu Yildiz, Seyda
Küçük, Mustafa
Author_xml – sequence: 1
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  surname: Küçük
  fullname: Küçük, Mustafa
  email: mustafa.kucuk218@ogr.deu.edu.tr
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  givenname: Seyda
  surname: Topaloglu Yildiz
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  email: seyda.topaloglu@deu.edu.tr
  organization: Department of Industrial Engineering, Dokuz Eylul University, Izmir, Turkiye
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Keywords Time windows
Decomposition
Container loading problem
Constraint programming
Vehicle routing problem
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Snippet •Novel Constraint Programming (CP) models are proposed for the 3l-CVRP.•CP based decomposition models are more effective than the MIP model.•A hybrid CP model...
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StartPage 108505
SubjectTerms Constraint programming
Container loading problem
Decomposition
Time windows
Vehicle routing problem
Title Constraint programming-based solution approaches for three-dimensional loading capacitated vehicle routing problems
URI https://dx.doi.org/10.1016/j.cie.2022.108505
Volume 171
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