2015
DOI: 10.1016/j.procs.2015.05.382
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Distributing Fibre Boards: A Practical Application of the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-dimensional Loading Constraints

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Cited by 36 publications
(11 citation statements)
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“…Then, a multi-start evolutionary search minimizes the number of used vehicles while another tabu search algorithm minimizes the total travel distance. Pace et al (2015) propose a heuristic based on simulated annealing and an iterated local search for the routing phase. Since they examine the distribution of fibre boards, a specialized loading heuristic based on a depth-first tree search and a balanced loading constraint are necessary.…”
Section: L-vrptwmentioning
confidence: 99%
“…Then, a multi-start evolutionary search minimizes the number of used vehicles while another tabu search algorithm minimizes the total travel distance. Pace et al (2015) propose a heuristic based on simulated annealing and an iterated local search for the routing phase. Since they examine the distribution of fibre boards, a specialized loading heuristic based on a depth-first tree search and a balanced loading constraint are necessary.…”
Section: L-vrptwmentioning
confidence: 99%
“…According to Table I, Pace et al (2015)'s work is the only one among the existing studies, which has studied 3L-CVRP considering time windows. Their work was inspired by a particular case of distributing fiber boards.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The model regards time windows in making routing decisions. Comparing with Pace et al (2015), in our modeling, the loading constraints are generic enough to be applied to a broad range of settings.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The cargos of the customers are first packed on identical pallets that are then loaded onto vehicles. The practical application of Distributing fibred boards is studied by Pace et al (2015) [26], and time windows and three-dimensional loading constraints was considerate in this paper.…”
Section: Approaches To 3l-vrptwmentioning
confidence: 99%