Willis, Tito Bisma May (2023) Analisis Perbandingan Rute Kendaraan antara VRPTW dan EVRPTW-BSS dalam Pendistribusian Barang Menggunakan Tabu Search. Masters thesis, Institut Teknologi Sepuluh Nopember.
Text
6010202005-Master_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 September 2025. Download (2MB) | Request a copy |
Abstract
Sesuai dengan perkembangan dan regulasi kendaraan bermotor listrik berbasis baterai (Battery Electric Vehicle) di Indonesia serta dukungan dari berbagai pihak dalam pengembangan kendaraan bermotor listrik yang dianggap lebih bersih dan ramah lingkungan sebab dapat mengurangi emisi gas rumah kaca. Penerapan kendaraan bermotor listrik berbasis baterai dalam perusahaan jasa pengiriman barang merupakan inovasi dan langkah dalam mendukung percepatan program tersebut. Masih sedikit perusahaan jasa pengiriman di Indoneisa yang berhasil bertransisi dari kendaraan konvensional ke kendaraan listrik. Dalam mencapai keberhasilan transisi ke kendaraan listrik perlu adanya perencanaan rute yang efisien dengan mempertimbangkan karakterikstik kendaraan hingga jangkauan maksimum kendaraan. Tujuan dari penelitian ini adalah untuk menganalisa perbandingan hasil rute distribusi kendaraan konvensional (Vehicle Routing Problem with Time Windows) dengan kendaraan listrik berbasis baterai (Electric Vehicle Routing Problem with Time Windows) dalam pendistribusian barang yang keduanya akan di optimasi dengan Tabu Search. Hasil penelitian dari data eksisting sebanyak 225 node dengan total berat 147.02 Kg, pemakaian motor konvensional dengan optimasi Tabu Search masih lebih menguntungkan dengan total biaya distribusi terkecil Rp22.377 dan total jarak terpendek 115.341 Km, pemakaian kendaraan motor listrik menghasilkan angka yang lebih besar karena kunjungannya ke SPBKLU yang berdampak pada penambahan biaya dan jarak. Namun dalam percobaan numerik motor listrik menghasilkan biaya lebih rendah ketika menjalankan penugasan dengan node dan jarak yang lebih sedikit
===================================================================================================================================
In accordance with the development and regulation of battery electric vehicles in Indonesia as well as support from various parties in the development of electric motorized vehicles which are considered cleaner and environmentally friendly because they can reduce greenhouse gas emissions. The application of battery-based electric motorized vehicles in goods delivery service companies is an innovation and a step in supporting the acceleration of the program. There are still a few delivery service companies in Indonesia that have successfully transitioned from conventional vehicles to electric vehicles. In achieving a successful transition to electric vehicles, it is necessary to have efficient route planning by considering the characteristics of the vehicle to the maximum range of the vehicle. The purpose of this study is to analyze the comparison of the results of conventional vehicle routing problems with time windows and electric vehicle routing problems in the distribution of goods, both of which will be optimized with Tabu Search. The research results from the existing data of 225 nodes with a total weight of 147.02 Kg, the use of conventional motorbikes with Tabu Search optimization is still more profitable with the smallest total distribution cost of Rp 22,377 and the shortest total distance of 115,341 Km, the use of electric motorized vehicles generates a larger number due to visits to charging station which have an impact on additional costs and distances. However, in numerical experiments electric motors produce lower costs when performing assignments with fewer nodes and distances.
Item Type: | Thesis (Masters) |
---|---|
Uncontrolled Keywords: | battery electric vehicle, electric vehicle routing problem, tabu search |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis |
Depositing User: | TITO BISMA MAY WILLIS |
Date Deposited: | 28 Aug 2023 05:36 |
Last Modified: | 28 Aug 2023 05:36 |
URI: | http://repository.its.ac.id/id/eprint/102550 |
Actions (login required)
View Item |