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    Rights statement: This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 253, 1, 2016 DOI: 10.1016/j.ejor.2016.02.019

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Robust storage loading problems with stacking and payload constraints

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Robust storage loading problems with stacking and payload constraints. / Goerigk, Marc; Knust, Sigrid; Le, Xuan Thanh.
In: European Journal of Operational Research, Vol. 253, No. 1, 16.08.2016, p. 51-67.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Goerigk, M, Knust, S & Le, XT 2016, 'Robust storage loading problems with stacking and payload constraints', European Journal of Operational Research, vol. 253, no. 1, pp. 51-67. https://doi.org/10.1016/j.ejor.2016.02.019

APA

Goerigk, M., Knust, S., & Le, X. T. (2016). Robust storage loading problems with stacking and payload constraints. European Journal of Operational Research, 253(1), 51-67. https://doi.org/10.1016/j.ejor.2016.02.019

Vancouver

Goerigk M, Knust S, Le XT. Robust storage loading problems with stacking and payload constraints. European Journal of Operational Research. 2016 Aug 16;253(1):51-67. Epub 2016 Feb 17. doi: 10.1016/j.ejor.2016.02.019

Author

Goerigk, Marc ; Knust, Sigrid ; Le, Xuan Thanh. / Robust storage loading problems with stacking and payload constraints. In: European Journal of Operational Research. 2016 ; Vol. 253, No. 1. pp. 51-67.

Bibtex

@article{f1948330c35f4506b7c013ac47d3392a,
title = "Robust storage loading problems with stacking and payload constraints",
abstract = "We consider storage loading problems where items with uncertain weights have to be loaded into a storage area, taking into account stacking and payload constraints. Following the robust optimization paradigm, we propose strict and adjustable optimization models for finite and interval-based uncertainties. To solve these problems, exact decomposition and heuristic solution algorithms are developed. For strict robustness, we also propose a compact formulation based on a characterization of worst-case scenarios. Computational results for randomly generated data with up to 300 items are presented showing that the robustness concepts have different potential depending on the type of data being used.",
keywords = "OR in maritime industry, Storage loading, Stacking problems, Payload restrictions, Robust optimization",
author = "Marc Goerigk and Sigrid Knust and Le, {Xuan Thanh}",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 253, 1, 2016 DOI: 10.1016/j.ejor.2016.02.019",
year = "2016",
month = aug,
day = "16",
doi = "10.1016/j.ejor.2016.02.019",
language = "English",
volume = "253",
pages = "51--67",
journal = "European Journal of Operational Research",
issn = "0377-2217",
publisher = "Elsevier Science B.V.",
number = "1",

}

RIS

TY - JOUR

T1 - Robust storage loading problems with stacking and payload constraints

AU - Goerigk, Marc

AU - Knust, Sigrid

AU - Le, Xuan Thanh

N1 - This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 253, 1, 2016 DOI: 10.1016/j.ejor.2016.02.019

PY - 2016/8/16

Y1 - 2016/8/16

N2 - We consider storage loading problems where items with uncertain weights have to be loaded into a storage area, taking into account stacking and payload constraints. Following the robust optimization paradigm, we propose strict and adjustable optimization models for finite and interval-based uncertainties. To solve these problems, exact decomposition and heuristic solution algorithms are developed. For strict robustness, we also propose a compact formulation based on a characterization of worst-case scenarios. Computational results for randomly generated data with up to 300 items are presented showing that the robustness concepts have different potential depending on the type of data being used.

AB - We consider storage loading problems where items with uncertain weights have to be loaded into a storage area, taking into account stacking and payload constraints. Following the robust optimization paradigm, we propose strict and adjustable optimization models for finite and interval-based uncertainties. To solve these problems, exact decomposition and heuristic solution algorithms are developed. For strict robustness, we also propose a compact formulation based on a characterization of worst-case scenarios. Computational results for randomly generated data with up to 300 items are presented showing that the robustness concepts have different potential depending on the type of data being used.

KW - OR in maritime industry

KW - Storage loading

KW - Stacking problems

KW - Payload restrictions

KW - Robust optimization

U2 - 10.1016/j.ejor.2016.02.019

DO - 10.1016/j.ejor.2016.02.019

M3 - Journal article

VL - 253

SP - 51

EP - 67

JO - European Journal of Operational Research

JF - European Journal of Operational Research

SN - 0377-2217

IS - 1

ER -