Multi-commodity distribution under uncertainty in disaster response phase: model, solution method, and an empirical study

DOI10.1016/j.ejor.2022.02.055OpenAlexW4214807160WikidataQ114194230 ScholiaQ114194230MaRDI QIDQ2158046

Kuo-Hao Chang, Tzu-Yi Hsiung, Tzu-Yin Chang

Publication date: 22 July 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2022.02.055

zbMATH Keywords

vehicle routing problemsample average approximationOR in disaster reliefpost-disaster response

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (3)

Green split multiple-commodity pickup and delivery vehicle routing problem ⋮ Simultaneous location and vehicle fleet sizing of relief goods distribution centers and vehicle routing for post-disaster logistics ⋮ Simulation optimization for stochastic casualty collection point location and resource allocation problem in a mass casualty incident

Cites Work

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• The Truck Dispatching Problem
• The Sample Average Approximation Method for Stochastic Discrete Optimization
• Bi-objective stochastic programming models for determining depot locations in disaster relief operations
• Vehicle routing and resource distribution in postdisaster humanitarian relief operations
• Finding the K Shortest Loopless Paths in a Network
• Prepositioning emergency supplies to support disaster relief: a case study using stochastic programming

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