Cost Optimization Of Multimodal Distribution Chain Using Electric Vehicles

Ardiantono, Dewie Saktia (2016) Cost Optimization Of Multimodal Distribution Chain Using Electric Vehicles. Masters thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 2514203007-Master_Thesis.pdf]
2514203007-Master_Thesis.pdf - Accepted Version

Download (1MB) | Preview


This study develops a model of cost optimization of multimodal delivery chain using electric vehicle in Rome. Goods are consolidated in a center located outside the urban area, are transported from this on shuttle trains to a distribution center located inside the central area of the city (Multimodal Urban Distribution Center), and are finally transferred from rail to green, by using electric vehicles to reach their final destination. In this process, we have to consider the synchronization of train schedule with the time window of delivery that has been set, number of fleet available and also wagon capacity of the fleet, since the capacity of the wagon is huge, while the capacity of the electric vehicle is significantly different in scale. As the problem of city logistics is recently increasing, the optimal solution for efficient vehicle delivery model is really needed. The research objectives will be accomplished through the building of the model and also by conducting some simulations to show the behavior of the proposed model. The research attempt obtain the optimal configuration of delivery trip that minimize the operation cost of multimodal distribution chain.

Item Type: Thesis (Masters)
Additional Information: RSI 658.53 Ard a 3100015058735
Uncontrolled Keywords: Penjadwalan tanam, Rantai pasok sayuran segar, Contract farming, Mixed cropping
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD69.T54 Time management. Scheduling
T Technology > TS Manufactures > TS157.5 Production scheduling
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User: Yeni Anita Gonti
Date Deposited: 14 Jul 2020 07:25
Last Modified: 14 Jul 2020 07:25

Actions (login required)

View Item View Item