Logistics service provider selection for disaster preparation: a socio-technical systems perspective

Seongtae Kim (), M. Ramkumar () and Nachiappan Subramanian ()
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Seongtae Kim: Swiss Federal Institute of Technology Zurich
M. Ramkumar: Swiss Federal Institute of Technology Zurich
Nachiappan Subramanian: University of Sussex

Annals of Operations Research, 2019, vol. 283, issue 1, No 50, 1259-1282

Abstract: Abstract Since 1990s, the world has seen a lot of advances in providing humanitarian aid through sophisticated logistics operations. The current consensus seems to be that humanitarian relief organizations (HROs) can improve their relief operations by collaborating with logistics service providers (CLSPs) in the commercial sector. The question remains: how can HROs select the most appropriate CLSP for disaster preparation? Despite its practical significance, no explicit effort has been done to identify the criteria/factors in prioritizing and selecting a CLSP for disaster relief. The present study aims to address this gap by consolidating the list of criteria from a socio-technical systems (STS) perspective. Then, to handle the interdependence among the criteria derived from the STS, we develop a hybrid multi-criteria decision making model for CLSP selection in the disaster preparedness stage. The proposed model is then evaluated by a real-life case study, providing insights into the decision-makers in both HROs and CLSPs.

Keywords: Logistics service provider; Disaster relief operations; Socio-technical systems; Multi-criteria decision analysis; Service provider selection (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (14)

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DOI: 10.1007/s10479-018-03129-3

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