Abstract: Based on the biggest stripping ratio pit， cone elimination method was used to gradually remove the parts which satisfy the increment size while the average grade of removed parts was lowest. In this way， a sequence of geologically optimum pits and push-backs could be obtained. Dynamic programming was used to generate optimum production planning of each pit， based on which the largest NPV was chosen as optimum pit and the best mining path was further chosen as the optimal production design， thus realizing the simultaneous optimization of the pit and production design. The algorithm was programmed and applied on engineering project. The results show that， under the condition of costs and prices remaining the same， ore and waste quantities of the best plan in the holistic optimization are less than 42.4% of the biggest profit pit while the NPV of the former is 17.0% above the latter. As costs and prices rising by 2% and 3.5%， respectively， ore and waste quantities of the best plan in the holistic optimization are more than 55.0% of the biggest profit pit while the NPV of the former is 6.0% above the latter.

Key words: open-pit mine, production planning, holistic optimization, pit optimization, cone elimination