11th Annual International Conference on Industrial Engineering and Operations Management

Model Development Framework for Determining Optimal Location and Investment Feasibility of Charging Station

0 Paper Citations
Track: Smart Mobility and Smart Cities

The use of fossil fuels as a source of energy for vehicles is a serious problem, the high costs incurred for subsidies, fuel imports, and the impact on increasing environmental pollution emergencies need to be addressed by the government. This issue is an important issue regarding the sustainability of global energy to encourage efforts to reduce the use of fossil fuel products. Currently, the Indonesian government has planned an electric vehicle as a technology to replace fossil fuel vehicles. To support government programs, planning for charging station installations is one of the supporting aspects in terms of infrastructure that must be implemented. This charging station installation is the government's support for the people to be more confident in using electric vehicles, because the installation costs will be higher if it is borne by individuals. As a new innovation, charging station technology needs planning regarding the location of the installation and also the feasibility of investing in realizing it. Based on previous research, a supply chain network design model has been developed by considering the distance between the demand and the supply center (charging station). This study aims to propose a framework for developing an optimal location model for charging station installations and to produce a techno-economic analysis to measure the investment feasibility of the chosen charging station to be installed. The performance framework for developing the model generated from this study is expected to provide insight and input to several stakeholders as an option in developing a supply chain model for charging station installation locations and techno-economic analysis in planning project business for the general public.

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