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An Optimization‐Based Decision‐Support Tool for Post‐Disaster Debris Operations
Author(s) -
Lorca Álvaro,
Çelik Melih,
Ergun Özlem,
Keskinocak Pınar
Publication year - 2017
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/poms.12643
Subject(s) - preparedness , disaster preparedness , decision support system , emergency management , task (project management) , business , risk analysis (engineering) , computer science , environmental planning , operations management , process management , operations research , environmental science , engineering , systems engineering , economics , artificial intelligence , management , economic growth
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.