DOI: 10.5937/jaes0-27922
This is an open access article distributed under the CC BY 4.0
Volume 19 article 776 pages: 154 - 161
The development of e-commerce business in Jakarta, Indonesia, in recent years has made the Last Mile Delivery
(LMD) business sector develop rapidly. Increased demand for LMD makes the resulting kilometer trips even greater,
resulting in negative externalities. On the other hand, logistics costs in Indonesia are only affected by vehicle operating
costs and no external cost component. Optimization of LMD services that take into account internal and external
costs is needed to minimize the total cost of LMD and in reducing the impact of negative externalities. The purpose of
this paper is to optimize the LMD distribution system on the Heterogeneous Fleet Vehicle Routing Problem with Time
Window and External Costs (HFVRPTW-EC) models. The optimization is done by applying the HFVRPTW-EC model
using data from one of the parcel deliveries companies in Jakarta and then doing a simulation by forming several operational
scenarios. The results show that the optimization of LMD has reduced internal and external costs by more
than 50% compared to existing conditions. The detailed results show that, for the short-term program, a scenario with
a one-tier distribution system and type of motorcycle vehicle can reduce total costs compared to existing conditions
by 66.22% on a peak day and 59.41% on off-peak day. Whereas for long-term program optimization, scenarios with
multiple tier distribution systems and types of motorized vehicles for drop mileage and pick up truck for stem mileage
can reduce total costs by 69.23% on a peak day and 60.24% on off-peak day.
This research is supported by the Research Fund of
PUTI (Publikasi Terindeks Internasional Prosiding) of
Universitas Indonesia, Contract No. NKB-1062/UN2.
RST/HKP05.00/2020 dated 29 April 2020.
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