The development of technology is currently growing rapidly affecting several aspects of human life. One of the technological developments in the automotive world is vehicle electrification. It aims to reduce the impact caused by oil-fueled vehicles, namely air pollution. The Indonesian government has made regulations for electric vehicles, which shows that Indonesia will enter the era of electric vehicles. To support this regulation, it is necessary to plan the construction of supporting facilities for electric vehicles, namely charging stations. This study aims to determine the location of facilities and distribution of allocations by minimizing investment costs and mileage and can cover all requests, as well as analyzing investment feasibility. This study develops a mixed-integer linear programming (MILP) model that can determine the decision on the number and construction of charging station facilities and the number of allocations served. Data processing using LINGO 18.0 software. Based on the calculations obtained 29 market locations and 1 mall as a charging station location and the minimum amount of subsidy provided by the city government is 50% on CS devices for traditional market locations and 75% on CS devices for mall locations. The research succeeded in developing a supply chain network distribution system model for stakeholders. For investors (Solo Technopark), this model can be a reference in determining investment decisions for the establishment of a charging station facility. For the Surakarta City Government, this model can be used as an evaluation of subsidy policies to attract investors in the construction of charging station facilities. For consumers (e-trike users), the optimal cost and distance can make it easier for consumers to access the charging station facilities that will be built.

Keywords

Charging Station, e-Trike, Investment Feasibility, Location and Allocation Model, MILP, Supply Chain Network.