The purpose of this paper is to address the impact of Mean Time Between Disasters (MTBD) to inventory pre-positioning strategy of medical supplies prior to a sudden-onset disaster.
The authors developed a trade-off model based on the operations of Médecins Sans Frontières (MSF) and implemented this in a spreadsheet-based platform to show the impact of MTBD on determining the pre-positioning strategy. This spreadsheet model identifies the most cost-efficient scenario out of a set of predefined pre-positioning scenarios. The authors implemented the model using a case study of a cholera outbreak in Zimbabwe.
The authors are able to show the impact of MTBD on determining the pre-positioning strategy. In addition, the authors also capture the trade-off decisions in transport modes and end-of-shelf-life policies. Moreover, from financial perspective, the authors show that an interaction between relief (emergency) and development (regular) programs can be beneficial.
The authors have some limitations on data access and availability. Some data (e.g. uncertainty in needs and lead-time) have to be collected for future research and, then, used to refine such decisions.
The model can be used as a justification for selecting an inventory pre-positioning strategy based on MTBD.
The authors introduce relevant factors in humanitarian organizations practice that have not yet received attention in literature (i.e. MTBD, inventory swap, and trade-off decisions in transport modes and end-of-shelf life policies).
Saputra, T.Y., Pots, O., de Smidt-Destombes, K.S. and de Leeuw, S. (2015), "The impact of Mean Time Between Disasters on inventory pre-positioning strategy", Disaster Prevention and Management, Vol. 24 No. 1, pp. 115-131. https://doi.org/10.1108/DPM-11-2013-0197Download as .RIS
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