Modelling beneficiaries' choice in disaster relief logistics

DOI10.1007/s10479-015-2097-9zbMath1380.90241OpenAlexW2225253798MaRDI QIDQ1699124

Pamela C. Nolz, Christian Burkart, Walter J. Gutjahr

Publication date: 16 February 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-015-2097-9

zbMATH Keywords

evolutionary algorithmmulti-objective combinatorial optimizationdisaster reliefcompetitive location model

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Combinatorial optimization (90C27)

Related Items (11)

Multicriteria optimization in humanitarian aid ⋮ Evolutionary hyperheuristics for location-routing problem with simultaneous pickup and delivery ⋮ Designing humanitarian supply chains by incorporating actual post-disaster decisions ⋮ Multi-period location routing: an application to the planning of mobile clinic operations in Iraq ⋮ Location‐routing problem: a classification of recent research ⋮ Cross-dock facility for disaster relief operations ⋮ Uncertain multi-objective multi-commodity multi-period multi-vehicle location-allocation model for earthquake evacuation planning ⋮ Objectives and methods in multi-objective routing problems: a survey and classification scheme ⋮ Event classification and location prediction from tweets during disasters ⋮ Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms ⋮ Prepositioning of assets and supplies in disaster operations management: review and research gap identification

Cites Work

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• An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method
• Integer Programming Formulation of Traveling Salesman Problems
• Lost demand in a competitive environment
• From preparedness to partnerships: case study research on humanitarian logistics
• The Covering Tour Problem
• The Covering Salesman Problem
• Humanitarian aid logistics: supply chain management in high gear

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