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dc.contributor.authorSnoeck, Andre
dc.contributor.authorMerchan, Daniel
dc.contributor.authorWinkenbach, Matthias
dc.date.accessioned2018-03-13T21:05:23Z
dc.date.available2018-03-13T21:05:23Z
dc.date.issued2018-03-13
dc.identifier.urihttp://hdl.handle.net/1721.1/114146
dc.description.abstractThis paper explores future avenues of research for revenue management in last-mile delivery. First, we review earlier efforts in this field, which have focused primarily on the problem of attended home deliveries (AHD) of groceries. Second, based on a topological classification of last-mile delivery characteristics, we identify relevant extensions inspired in current industry trends. Finally, we outline how existing models should be extended for these new problems and discuss promising streams of future research.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesSCALE Working Paper Series;18-03
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectlast-mile deliveryen_US
dc.subjectdynamic pricingen_US
dc.subjecturban logisticsen_US
dc.subjectrevenue managementen_US
dc.titleRevenue Mangement in Last-Mile Delivery: State-of-the-Art and Future Research Directionsen_US
dc.typeWorking Paperen_US


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