This paper presented a combined SD and DES simulation models for assessing the adoption of green logistics
practices in automotive industry. The method utilizes SD simulation with a high level representation of the logistical
activities within the assembly line to assess waste, CO2 emissions, consumption of energy and water. The DES
models are used for assessment of chosen opportunities at the detailed level. The results of the model indicated it can
practically assist decision makers by providing an in-depth understanding of environmental impacts and costs
associated. The model had shown substantial reductions of energy and water consumptions, reduced CO2 emissions
and decreased generations of waste. Similarly costs associated with energy, water and waste were reduced. But
slight increase of costs was observed on operational costs. Nevertheless, after adopting the green policy, the model
did indicate improved results of environmental sustainability and cost reductions on water, energy and waste. In the
future, further research will focus on development of Decision Support System (DSS) for green logistics and supply
chain in automotive industry. In addition to that independent DES models that can capture complex operations
involving the automotive assembling processes and green manufacturing will be created. Other environmental
factors will also be included in the model such carbon emissions trading and the emissions Volatile Organic
Compounds (VOCs) from the paint shop activities.