An optimization‐based decision‐support tool for post‐disaster debris operations

Álvaro Lorca; Melih Celik; Ozlem Ergun; Pinar Keskinocak

doi:10.1111/poms.12643

An optimization‐based decision‐support tool for post‐disaster debris operations

Álvaro Lorca, Melih Celik, Ozlem Ergun, Pinar Keskinocak

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Abstract

Debris generated by disasters can hinder relief efforts and result in devastating economic, environmental, and health problems. In this study, we present a decision‐support tool employing analytical models to assist disaster and waste management officials with decisions regarding collection, transportation, reduction, recycling, and disposal of debris. The tool enables optimizing and balancing the financial and environmental costs, duration of the collection and disposal operations, landfill usage, and the amount of recycled materials. In addition to post‐disaster operational decisions, the tool can also support the challenging task of developing strategic plans for disaster preparedness. We illustrate the applicability and effectiveness of the tool with a disaster scenario based on Hurricane Andrew.

Original language	English
Pages (from-to)	1076-1091
Number of pages	15
Journal	Production and Operations Management
Volume	26
Issue number	6
Early online date	7 Sept 2016
DOIs	https://doi.org/10.1111/poms.12643
Publication status	Published - 9 Jun 2017

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10.1111/poms.12643

An Optimization-Based Decision-Support Tool for Debris Operations
This is the peer-reviewed version of the following article: Lorca, Á, Celik, M, Ergun, O & Keskinocak, P 2017, 'An optimization‐based decision‐support tool for post‐disaster debris operations' Production and Operations Management , vol. 26, no. 6, pp. 1076-1091 which has been published in final form at: https://doi.org/10.1111/poms.12643. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Accepted author manuscript, 1.42 MB

Melih Celik
- M.Celikbath.acuk
Person: Research & Teaching, Researcher

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An optimization‐based decision‐support tool for post‐disaster debris operations

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Melih Celik

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