The optimal assignment of spontaneous volunteers

Maria E. Mayorga (), Emmett J. Lodree () and Justin Wolczynski ()
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Maria E. Mayorga: North Carolina State University
Emmett J. Lodree: University of Alabama
Justin Wolczynski: North Carolina State University

Journal of the Operational Research Society, 2017, vol. 68, issue 9, 1106-1116

Abstract: Abstract Spontaneous volunteers are ordinary citizens who assist in disaster relief efforts, while they are a great resource they also pose a difficult logistical challenge. Unlike classical labor assignment problems, the management of these volunteers is characterized by uncertainty regarding the size, availability, and commitment of the labor pool. We model this problem as a multi-server queueing system with both stochastic server arrival and abandonment. This model is intended to be applied to the relatively stable work associated with recovery efforts, e.g., debris clearing. We model this system as a continuous time Markov decision process and compare the optimal policy to several common-sense heuristics; one of which performs close to optimal and makes a practical alternative. We conduct extensive sensitivity analysis around model parameters and assumptions.

Keywords: volunteer assignment; disaster operations management; Markov decision process (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (8)

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DOI: 10.1057/s41274-017-0219-2

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