Interactive Dashboard for Teaching Aggregate Production Planning: A Streamlit-Based Open Access Tool

This article presents an interactive extit{dashboard} extit{open-source} to support the  teaching of Aggregate Production Planning (PAP) techniques and concepts . Developed Python with the Streamlit, Plotly and SciPy libraries. The tool integrates, in a single reactive interface, six classic PAP methods: Demand Monitoring Strategy, Levelized Production, Mixed Strategy, Linear Programming (PL), Transport Method and Trial-and-Error. Additionally, it incorporates modern extensions as integer variables via Mixed Integer Linear Programming (PLIM) and three scarcity policies (backorders, no shortages, and lost sales). A case study with a 12-period horizon demonstrates the comparative use of the methods, showing that PL obtains the lowest total cost. The tool is publicly available on Streamlit Cloud, and can be used without installation.