
handle: 10419/182048
Delivery companies offer same-day delivery (SDD) in more and more cities. SDD defines a business model in which a customer order is fulfilled the same day it is issued. To gain a competitive advantage, companies start offering increasingly narrower delivery deadlines of a few hours length. Currently, many companies struggle to cost-efficiently maintain a network of depots and vehicles to deliver the orders within the promised delivery deadlines. In this paper, we quantify the impact of delivery deadlines on the delivery costs in a simulation study. We further analyze the impact of delivery deadlines to the design of the delivery network. To this end, we extend an existing dynamic routing method from the literature. In our computational case study of the Iowa City area, we show that the costs and the network-layout for SDD significantly depend on the delivery deadlines and that an extension of the deadline by only one hour may reduce delivery costs substantially.
Same-Day Delivery, Stochastic Orders, Industries. Land use. Labor, ddc:650, Dynamic Vehicle Routing, HD28-9999, Transportation and communications, Deadlines, HE1-9990
Same-Day Delivery, Stochastic Orders, Industries. Land use. Labor, ddc:650, Dynamic Vehicle Routing, HD28-9999, Transportation and communications, Deadlines, HE1-9990
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
