
doi: 10.1002/net.22190
handle: 11568/1313876 , 11585/945394
AbstractIn this article, we define a new routing problem that arises in the last‐mile delivery of parcels, in which customers can be served either directly at home by a capacitated truck, or possibly with a drone carried on the truck, or in a self‐service mode using one of the available lockers. We investigate four different formulations, and for one of them, we propose a branch‐and‐cut approach. We also discuss some possible variants of the original problem. In the computational experiments, we analyze and compare the performance of the four formulations for the problem and its variants, and we provide some useful managerial insights.
lockers, branch-and-cut, drones, formulations, last-mile, routing, branch-and-cut; drones; formulations; last-mile; lockers; routing, Polyhedral combinatorics, branch-and-bound, branch-and-cut, Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.)
lockers, branch-and-cut, drones, formulations, last-mile, routing, branch-and-cut; drones; formulations; last-mile; lockers; routing, Polyhedral combinatorics, branch-and-bound, branch-and-cut, Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.)
| 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). | 18 | |
| 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. | Top 10% | |
| 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. | Top 10% |
