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dc.contributor.authorvan der Laan, E
dc.contributor.authorvan Dalen, J
dc.contributor.authorRohrmoser, M
dc.contributor.authorSimpson, R
dc.date.accessioned2017-01-18T18:05:28Z
dc.date.available2017-01-18T18:05:28Z
dc.date.issued2016-07-15
dc.date.submitted2016-08-02
dc.identifier.citationDemand forecasting and order planning for humanitarian logistics: An empirical assessment 2016 Journal of Operations Managementen
dc.identifier.issn02726963
dc.identifier.doi10.1016/j.jom.2016.05.004
dc.identifier.urihttp://hdl.handle.net/10144/618759
dc.description.abstractHumanitarian aid organizations are most known for their short-term emergency relief. While getting aid items to those in need can be challenging, long-term projects provide an opportunity for demand planning supported by forecasting methods. Based on standardized consumption data of the Operational Center Amsterdam of Médecins Sans Frontières (MSF-OCA) regarding nineteen longer-term aid projects and over 2000 medical items consumed in 2013, we describe and analyze the forecasting and order planning process. We find that several internal and external factors influence forecast and order planning performance, be it indirectly through demand volatility and safety markup. Moreover, we identify opportunities for further improvement for MSF-OCA, and for humanitarian logistics organizations in general.
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0272696316300377en
dc.rightsArchived with thanks to Journal of Operations Managementen
dc.titleDemand Forecasting and Order Planning for Humanitarian Logistics: An Empirical Assessmenten
dc.identifier.journalJournal of Operations Managementen
dc.internal.reviewer-noteJournal of operations management not in PubMed MSF was secondary authoren
refterms.dateFOA2019-03-04T13:05:25Z
html.description.abstractHumanitarian aid organizations are most known for their short-term emergency relief. While getting aid items to those in need can be challenging, long-term projects provide an opportunity for demand planning supported by forecasting methods. Based on standardized consumption data of the Operational Center Amsterdam of Médecins Sans Frontières (MSF-OCA) regarding nineteen longer-term aid projects and over 2000 medical items consumed in 2013, we describe and analyze the forecasting and order planning process. We find that several internal and external factors influence forecast and order planning performance, be it indirectly through demand volatility and safety markup. Moreover, we identify opportunities for further improvement for MSF-OCA, and for humanitarian logistics organizations in general.


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