Robust post-disaster route restoration

Aakil Caunhye; Nazli Yonca Aydin; H Sebnem Duzgun

doi:10.1007/s00291-020-00601-0

Robust post-disaster route restoration

Aakil Caunhye, Nazli Yonca Aydin, H Sebnem Duzgun

Research output: Contribution to journal › Article › peer-review

Abstract

Route restoration is considered a task of foremost priority in disaster relief. In this paper, we propose a robust optimization approach to optimize post-disaster route restoration under uncertain restoration times. We present a novel decision rule based on restoration time ordering that yields optimal restoration sequencing and propose conditions for complexity reduction of the model and prove probability bounds on the satisfaction of these conditions. We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.

Original language	English
Pages (from-to)	1055-1087
Number of pages	33
Journal	OR Spectrum
Volume	42
Early online date	17 Aug 2020
DOIs	https://doi.org/10.1007/s00291-020-00601-0
Publication status	E-pub ahead of print - 17 Aug 2020

Keywords / Materials (for Non-textual outputs)

route restoration
robust optimization
decision rules
disaster relief

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10.1007/s00291-020-00601-0Licence: Creative Commons: Attribution (CC-BY)

CaunhyeORS2020RobustPostDisasterRouteFinal published version, 2.19 MBLicence: Creative Commons: Attribution (CC-BY)

Aakil Caunhye
- Business School - Senior Lecturer in Business Analytics
- Management Science and Business Economics
- Management Science
Person: Academic: Research Active

Cite this

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title = "Robust post-disaster route restoration",

abstract = "Route restoration is considered a task of foremost priority in disaster relief. In this paper, we propose a robust optimization approach to optimize post-disaster route restoration under uncertain restoration times. We present a novel decision rule based on restoration time ordering that yields optimal restoration sequencing and propose conditions for complexity reduction of the model and prove probability bounds on the satisfaction of these conditions. We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.",

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author = "Aakil Caunhye and Aydin, {Nazli Yonca} and Duzgun, {H Sebnem}",

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AU - Caunhye, Aakil

AU - Aydin, Nazli Yonca

AU - Duzgun, H Sebnem

PY - 2020/8/17

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N2 - Route restoration is considered a task of foremost priority in disaster relief. In this paper, we propose a robust optimization approach to optimize post-disaster route restoration under uncertain restoration times. We present a novel decision rule based on restoration time ordering that yields optimal restoration sequencing and propose conditions for complexity reduction of the model and prove probability bounds on the satisfaction of these conditions. We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.

AB - Route restoration is considered a task of foremost priority in disaster relief. In this paper, we propose a robust optimization approach to optimize post-disaster route restoration under uncertain restoration times. We present a novel decision rule based on restoration time ordering that yields optimal restoration sequencing and propose conditions for complexity reduction of the model and prove probability bounds on the satisfaction of these conditions. We implement our models in a realistic study of the 2015 Gorkha earthquake in Nepal.

KW - route restoration

KW - robust optimization

KW - decision rules

KW - disaster relief

U2 - 10.1007/s00291-020-00601-0

DO - 10.1007/s00291-020-00601-0

M3 - Article

SN - 0171-6468

VL - 42

SP - 1055

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JO - OR Spectrum

JF - OR Spectrum

ER -

Robust post-disaster route restoration

Abstract

Keywords / Materials (for Non-textual outputs)

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Aakil Caunhye

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