We investigate the integration of planning and scheduling theory for open-pit ore mining industry under comprehensive mining constraints and attributes. Consequently, mine design planning, mine block sequencing, and mine production scheduling problems are modelled, solved and interacted in a whole decision support system. A serial of interrelated mixed integer programming models and hybrid solution approaches are developed. Based on a real-world case study, it is validated that the proposed decision support system is promising to significantly improve the overall efficiency of mining management in an integrated way.