Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach. / Oberscheider, Marco; Zazgornik, Jan; Henriksen, Christian Bugge; Gronalt, Manfred; Hirsch, Patrick.

In: Scandinavian Journal of Forest Research, Vol. 28, No. 5, 2013, p. 493-506.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Oberscheider, M, Zazgornik, J, Henriksen, CB, Gronalt, M & Hirsch, P 2013, 'Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach', Scandinavian Journal of Forest Research, vol. 28, no. 5, pp. 493-506. https://doi.org/10.1080/02827581.2012.758309

APA

Oberscheider, M., Zazgornik, J., Henriksen, C. B., Gronalt, M., & Hirsch, P. (2013). Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach. Scandinavian Journal of Forest Research, 28(5), 493-506. https://doi.org/10.1080/02827581.2012.758309

Vancouver

Oberscheider M, Zazgornik J, Henriksen CB, Gronalt M, Hirsch P. Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach. Scandinavian Journal of Forest Research. 2013;28(5):493-506. https://doi.org/10.1080/02827581.2012.758309

Author

Oberscheider, Marco ; Zazgornik, Jan ; Henriksen, Christian Bugge ; Gronalt, Manfred ; Hirsch, Patrick. / Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach. In: Scandinavian Journal of Forest Research. 2013 ; Vol. 28, No. 5. pp. 493-506.

Bibtex

@article{40dfdf26045e4113b909af5dc09e4494,
title = "Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach",
abstract = "Efficient transport of timber for supplying industrial conversion and biomass power plants is a crucial factor for competitiveness in the forest industry. Throughout the recent years minimizing driving times has been the main focus of optimizations in this field. In addition to this aim the objective of reducing environmental impacts, represented by carbon dioxide equivalent (CO(2)e) emissions, is discussed. The underlying problem is formulated as a multi-depot vehicle routing problem with pickup and delivery and time windows (MDVRPPDTW) and a new iterative solution method is proposed. For the numerical studies, real-life data are used to generate test instances of different scales concerning the supply chain of biomass power plants. Small ones are taken to validate the optimality of the new approach. Medium and large test instances are solved with respect to minimizing driving times and fuel consumptions separately. This study shows that the selection of the objective of minimizing fuel consumption leads to a significant reduction of CO(2)e emissions compared to a minimization of driving times.",
keywords = "Green logistics, timber transport, greenhouse gas mitigation, mixed integer programming, optimization, log-truck scheduling",
author = "Marco Oberscheider and Jan Zazgornik and Henriksen, {Christian Bugge} and Manfred Gronalt and Patrick Hirsch",
year = "2013",
doi = "10.1080/02827581.2012.758309",
language = "English",
volume = "28",
pages = "493--506",
journal = "Scandinavian Journal of Forest Research",
issn = "0282-7581",
publisher = "Taylor & Francis Scandinavia",
number = "5",

}

RIS

TY - JOUR

T1 - Minimizing driving times and greenhouse gas emissions in timber transport with a near-exact solution approach

AU - Oberscheider, Marco

AU - Zazgornik, Jan

AU - Henriksen, Christian Bugge

AU - Gronalt, Manfred

AU - Hirsch, Patrick

PY - 2013

Y1 - 2013

N2 - Efficient transport of timber for supplying industrial conversion and biomass power plants is a crucial factor for competitiveness in the forest industry. Throughout the recent years minimizing driving times has been the main focus of optimizations in this field. In addition to this aim the objective of reducing environmental impacts, represented by carbon dioxide equivalent (CO(2)e) emissions, is discussed. The underlying problem is formulated as a multi-depot vehicle routing problem with pickup and delivery and time windows (MDVRPPDTW) and a new iterative solution method is proposed. For the numerical studies, real-life data are used to generate test instances of different scales concerning the supply chain of biomass power plants. Small ones are taken to validate the optimality of the new approach. Medium and large test instances are solved with respect to minimizing driving times and fuel consumptions separately. This study shows that the selection of the objective of minimizing fuel consumption leads to a significant reduction of CO(2)e emissions compared to a minimization of driving times.

AB - Efficient transport of timber for supplying industrial conversion and biomass power plants is a crucial factor for competitiveness in the forest industry. Throughout the recent years minimizing driving times has been the main focus of optimizations in this field. In addition to this aim the objective of reducing environmental impacts, represented by carbon dioxide equivalent (CO(2)e) emissions, is discussed. The underlying problem is formulated as a multi-depot vehicle routing problem with pickup and delivery and time windows (MDVRPPDTW) and a new iterative solution method is proposed. For the numerical studies, real-life data are used to generate test instances of different scales concerning the supply chain of biomass power plants. Small ones are taken to validate the optimality of the new approach. Medium and large test instances are solved with respect to minimizing driving times and fuel consumptions separately. This study shows that the selection of the objective of minimizing fuel consumption leads to a significant reduction of CO(2)e emissions compared to a minimization of driving times.

KW - Green logistics

KW - timber transport

KW - greenhouse gas mitigation

KW - mixed integer programming

KW - optimization

KW - log-truck scheduling

U2 - 10.1080/02827581.2012.758309

DO - 10.1080/02827581.2012.758309

M3 - Journal article

VL - 28

SP - 493

EP - 506

JO - Scandinavian Journal of Forest Research

JF - Scandinavian Journal of Forest Research

SN - 0282-7581

IS - 5

ER -

ID: 119831462