11th Annual International Conference on Industrial Engineering and Operations Management

Optimization of Location Selection for Electric Motorcycle Charging Station: Distance-based Method Approach

Rheza Aulia Ramadhan, Era Febriana Aqidawati & Wahyudi Sutopo
Publisher: IEOM Society International
0 Paper Citations
Track: Supply Chain Management

The mass adoption of electric mobility will reflect advances in the vehicle itself, its infrastructure network, and its position in the automotive market. Progress in these areas is highly related, and mandates coordinated design efforts. Discuss ongoing developments and future trends in charging systems for E-Motorcycle vehicles. E-Motorcycle can grow rapidly if supported by facilities in certain areas that can be used to exchange batteries or recharge batteries because the batteries used have the maximum capacity so that electric vehicles also have limited mileage. Currently, the Indonesian government is raising the use of E-Motorcycle electric vehicles, which is supported by the construction of charging stations in every gas station in the city of Semarang With the presence E-Motorcycle in the market needs to be built facilities that support charging, in anticipation of the development of the use of E-Motorcycle in the city of Semarang with the implementation of network design for this charging facility. This research uses a supply chain network model to determine charging station facilities in Semarang city to achieve coverage from the fewest number of charging stations and minimum investment costs. The method used in determining location distance uses a distance-based by solving problems built from combinations and modifications of models in previous studies, and models run using CPLEX. The results obtained from this research can provide recommendations and input to the Semarang City Government in the problem of providing charging stations in response to the acceleration of the use of E-Motorcycle in Indonesia.


Location Facility, E-Motorcycle, Charging Station, Supply Chain

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767