Modern mining requires a high degree of assurance regarding potential costing and risks in operations. With decreasing profit margins, information and accuracy in design is a key factor that can determine if an operation remains productive and successful. Optimising the size of stopes and minimising dilution is a step towards achieving a productive mining operation. This is accomplished by using a stability graph in the initial underground stope design stages. The traditional stability graph was developed to provide guidance in determination of stope sizes. Unfortunately, this graph is only qualitative and is orebody size-dependent. The objective of this research project is to develop a generalised quantitative dilution-based stability graph independent of orebody width, using data obtained from underground metalliferous mining operations in Australia.A number of stope surface case studies (226) were gathered from six current mining operations located across Australia. Data was analysed and validated, then composited into a stope stability database. Data was the statistically analysed using logistic regression and the Bayesian likelihood discrimination method to produce two quantitative dilution-based stope stability graphs.While the database that has been developed is extensive, additional data could improve the confidence and reliability of the quantitative dilution-based stability graph. While the data used within this project is only from Australian mines, it is expected that the graph could be used elsewhere, where geological and mining conditions are similar.CITATION:Papaioanou, A, 2016. Development of a generalised quantitative dilution-based stability graph independent of orebody width for open stope design, in Proceedings Seventh International Conference and Exhibition on Mass Mining (MassMin 2016), p 892 (The Australasian Institute of Mining and Metallurgy: Melbourne).