Purpose - This paper addresses the impact of Mean Time Between Disasters (MTBD) to inventory pre-positioning strategy of medical supplies prior to a sudden-onset disaster

De Leeuw, S

De Smidt-Destombes, KS

Pots, O

Saputra, TY

English

Originality/value: 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.

de Leeuw, S.L.J.M.

NARCIS 

The impact of Mean Time Between Disasters on inventory prepositioning strategy

Nottingham Trent Institutional Repository (IRep)

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The impact of Mean Time Between Disasters on inventory pre-positioning strategy


               Purpose
                – 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. 
            
            
               Design/methodology/approach
                – 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. 
            
            
               Findings
                – 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. 
            
            
               Research limitations/implications
                – 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. 
            
            
               Practical implications
                – The model can be used as a justification for selecting an inventory pre-positioning strategy based on MTBD. 
            
            
               Originality/value
                – 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).
            </jats:sec

Tezar Yuliansyah Saputra

Olaf Pots

Karin S. de Smidt-Destombes

Sander de Leeuw

Crossref

Disaster Prevention and Management An International Journal

Originality/value: 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).Purpose: 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.Design/methodology/approach: 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.Findings: 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.Research limitations/implications: 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.Practical implications: The model can be used as a justification for selecting an inventory pre-positioning strategy based on MTBD

Saputra, Tezar Yuliansyah

Pots, Olaf

de Smidt-Destombes, Karin S.

de Leeuw, Sander

The impact of mean time between disasters on inventory pre-positioning strategy

Originality/value: 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).Purpose: 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.Design/methodology/approach: 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.Findings: 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.Research limitations/implications: 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.Practical implications: The model can be used as a justification for selecting an inventory pre-positioning strategy based on MTBD.</p

The impact of Mean Time Between Disasters on inventory pre-positioning strategy

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