An iterative solution approach for truck routing and scheduling in the forest industry

Log transportation in forest industry is a resource-intensive operation and represents a great challenge for logistic planners. Several trips must be generated in order to satisfy plants demand; in addition, trucks arrivals at each plant must be considered in order to avoid unproductive waiting time...

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Autores principales: Bordón, Maximiliano, Montagna, Jorge Marcelo, Corsano, Gabriela
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2018
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/71886
http://47jaiio.sadio.org.ar/sites/default/files/SIIIO-04.pdf
Aporte de:
id I19-R120-10915-71886
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
vehicle routing
vehicle scheduling
forest
MILP
spellingShingle Ciencias Informáticas
vehicle routing
vehicle scheduling
forest
MILP
Bordón, Maximiliano
Montagna, Jorge Marcelo
Corsano, Gabriela
An iterative solution approach for truck routing and scheduling in the forest industry
topic_facet Ciencias Informáticas
vehicle routing
vehicle scheduling
forest
MILP
description Log transportation in forest industry is a resource-intensive operation and represents a great challenge for logistic planners. Several trips must be generated in order to satisfy plants demand; in addition, trucks arrivals at each plant must be considered in order to avoid unproductive waiting times. In the Argentine context, specifically in the Argentinean Northeast (NEA) region, these activities represent the main sustenance of the regional economies, so enhancing efficiency in the transport operation would represent a considerable improvement for these economies. In this work, an iterative solution approach for the truck routing and scheduling problems is presented. The proposed strategy involves two stages which are iteratively solved: product allocation, trip composition and truck routing problems are first solved through a Mixed-Integer Linear Programming model (MILP), while in the second stage, fixing the route for each truck according to the results of the previous step, a MILP model for the scheduling of truck arrivals at plants is considered. If no feasible solution for the scheduling problem is obtained, then an integer cut is applied in order to exclude from the search space truck routes already explored in previous iterations. The solution approach is tested in a case study representative of the Argentine context and conclusions are detailed.
format Objeto de conferencia
Objeto de conferencia
author Bordón, Maximiliano
Montagna, Jorge Marcelo
Corsano, Gabriela
author_facet Bordón, Maximiliano
Montagna, Jorge Marcelo
Corsano, Gabriela
author_sort Bordón, Maximiliano
title An iterative solution approach for truck routing and scheduling in the forest industry
title_short An iterative solution approach for truck routing and scheduling in the forest industry
title_full An iterative solution approach for truck routing and scheduling in the forest industry
title_fullStr An iterative solution approach for truck routing and scheduling in the forest industry
title_full_unstemmed An iterative solution approach for truck routing and scheduling in the forest industry
title_sort iterative solution approach for truck routing and scheduling in the forest industry
publishDate 2018
url http://sedici.unlp.edu.ar/handle/10915/71886
http://47jaiio.sadio.org.ar/sites/default/files/SIIIO-04.pdf
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