Abstarct: In underground long wall mines, there are different systems related to the composition, which can be considered as subsystems of the mining production system. Among the production systems in long wall mines, shearer systems, around chain conveyer (AFC) and Shields are critical mine infrastructures, which directly affect the production capacity of long-wall mines. In case of device failure, they cause risks and disturbances such as the equipment being unavailable, reducing the working time, increasing the production costs, and decreasing the performance of the equipment; therefore, these disturbances and risks should be reduced by using methods. In the past years, the use of risk management has been a suitable measure to focus on the identification and control of risks, but it is necessary to improve the preparation, prevention and protection of resilience management. In general, resilience expresses the system's ability to return to its normal operating conditions after a disturbance. Using this method, it is possible to identify the effects of shearer systems, AFC and shields in mining and take the necessary measures. According to the investigations, there is no study in the field of risk and resilience in the field of mining engineering. Most of the researches are in the field of non-engineering systems. Regarding these topics of engineering systems, various researchers have tried to provide quantitative and qualitative methods for evaluating engineering systems. . Each of the presented research has its strengths and weaknesses. Therefore, in this thesis, an attempt has been made to develop and present a risk and resilience analysis that is baxsed on the combination of failure data, expert judgment and fuzzy set theory, to estimate the resilience of the production system. In this method, the indices of reliability, maintainability, supportability, organizational resilience, economic resilience and PHM system efficiency have been used to analyze resilience. Finally, the application of the proposed method was used for the production system of Prvadeh Tabas coal mine. . This study has three main parts: production system resilience analysis without considering risk factors, production system resilience analysis considering risk factors, and production system risk analysis. According to the results obtained in the index analysis method without considering the risk factors for Shearer, Shield and AFC systems, it showed that the resilience of the Shearer system decreases over time. While the resilience of the AFC system increases over time. For the shield system, with the passage of time, the resilience of the system decreases and then stabilizes. Finally, the results of the analysis showed that the production system has a resistant and flexible nature, and resilience increases over time. Making the right decisions and solutions by the management, sufficient skills of the repairmen, correct diagnosis of defective parts, timely allocation of resources or appropriate procurement of spare parts are among the reasons. Then, in the continuation of the results of the index analysis method, taking into account risk factors baxsed on environmental conditions such as shift, workplace, number of cuts, average height of the workshop, etc., for Shearer, Shield and AFC systems, it showed that the resilience of the systems decreases with the passage of time. Finally, it was concluded that the resilience of the production system, considering the risk factors, with the passage of time, the resilience of the system decreases and then stabilizes, and is much less than the case when the risk factors are considered. This issue shows that the correct management decisions from the production point of view for the considered systems of the Tabas Coal Mine baxsed on the environmental conditions have not been taken into account. Also, sufficient knowledge is not included to communicate the operational capacity with system behavior and environmental conditions. Finally, the results of the risk analysis of Prodeh Tabas production system showed that among the parameters affecting the production system, AFC, Shield and Shirer systems have the highest mean value (0.346, 0.332 and 0.322, respectively) and the highest standard deviation (respectively 0.05, 0.05 and 0.04) as a result these systems have the highest amount of risk respectively. Also, the results of the analysis show that the parameters that had the highest rate of failure and had an impact on the resilience of the systems also have the highest rate of risk. The results of this thesis showed that the presented analysis is a simple and reliable tool in analyzing the risk and resilience of the production system in long-term mines.