This working paper describes a process to develop an agent-based simulation of dairy supply chain in Indonesia. The discussion begins by describing the situation in the case study area. Then we explain the assumptions used in to develop agent-based simulation in this study. The simulation experiments show that the agent-based simulation can produce outputs that resemble the patterns in the real-world data. This paper ends by discussing the conclusions and plan for further research.