The impact of coordination on the effectiveness of last mile relief distribution

Priyanka Roy, Chris Owen, Pavel Albores, Christopher Brewster

Research output: Unpublished contribution to conferenceAbstractpeer-review


Last mile relief distribution is the final stage of humanitarian logistics. It refers to the supply of relief items from local distribution centers to the disaster affected people (Balcik et al., 2008). In the last mile relief distribution literature, researchers have focused on the use of optimisation techniques for determining the exact optimal solution (Liberatore et al., 2014), but there is a need to include behavioural factors with those optimisation techniques in order to obtain better predictive results. This paper will explain how improving the coordination factor increases the effectiveness of the last mile relief distribution process. There are two stages of methodology used to achieve the goal:
Interviews: The authors conducted interviews with the Indian Government and with South Asian NGOs to identify the critical factors for final relief distribution. After thematic and content analysis of the interviews and the reports, the authors found some behavioural factors which affect the final relief distribution. Model building: Last mile relief distribution in India follows a specific framework described in the Indian Government disaster management handbook. We modelled this framework using agent based simulation and investigated the impact of coordination on effectiveness. We define effectiveness as the speed and accuracy with which aid is delivered to affected people. We tested through simulation modelling whether coordination improves effectiveness.
Original languageEnglish
Publication statusPublished - 12 Jul 2015
Event27th European Conference on Operational Research - University of Strathclyde, Glasgow, United Kingdom
Duration: 12 Jul 201514 Jul 2015


Conference27th European Conference on Operational Research
Country/TerritoryUnited Kingdom


  • behavioural OR
  • disaster and crisis management
  • simulation


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