Computer-implemented forecasting method for forecasting a number of residual landings (remaining LPT) corresponding to achievement of a removal threshold of an identified tyre that is installed on an identified aeroplane, the forecasting method comprising the following steps: - a step of introducing parameters influencing the identified tyre into a system that carries out the forecasting method, the system comprising a communication network that manages data input into the system, the communication network having one or more communication servers that manage data corresponding to the parameters influencing the identified tyre, and having at least one communication device that captures and that transmits these data to the servers, this step comprising the following steps: - a step of obtaining parameters influencing the identified tyre, which step is carried out by the communication devices of the system, and in which step the obtained influencing parameters comprise data corresponding to historic information and to general information of the identified tyre; and - a step of creating a wear-state training database, which is introduced into a model for forecasting the number of residual landings corresponding to achievement of the removal threshold of the identified tyre; - a step of training the forecasting model to predict the number of residual landings corresponding to achievement of the removal threshold of the identified tyre, during which step a machine-learning method receives as input the obtained influencing parameters and the data of the training database so that the processor may acquire known wear states corresponding to the number of landings carried out by the identified tyre; - a step of forecasting the number of residual landings (remaining LPT) before achievement of the removal threshold of the identified tyre, during which step the number of residual landings of the identified tyres is computed on the basis of data corresponding to the influencing parameters; and - a comparing step during which the number of residual landings (remaining LPT) before achievement of the removal threshold of the identified tyre, which is output by the forecasting model, is compared with a value of the removal threshold of the identified tyre, and as a consequence the system creates a maintenance schedule for the identified tyre, characterized in that the forecasting method further comprises a step of simulating destination airports of the identified aeroplane on the basis of historic flight data, wherein the simulating step is performed by way of a Markov chain in which each state represents one airport and each inter-airport link represents a probability of landing in one airport starting from another. - a step of introducing parameters influencing the identified tyre into a system that carries out the forecasting method, the system comprising a communication network that manages data input into the system, the communication network having one or more communication servers that manage data corresponding to the parameters influencing the identified tyre, and having at least one communication device that captures and that transmits these data to the servers, this step comprising the following steps: - a step of obtaining parameters influencing the identified tyre, which step is carried out by the communication devices of the system, and in which step the obtained influencing parameters comprise data corresponding to historic information and to general information of the identified tyre; and - a step of creating a wear-state training database, which is introduced into a model for forecasting the number of residual landings corresponding to achievement of the removal threshold of the identified tyre; - a step of training the forecasting model to predict the number of residual landings corresponding to achievement of the removal threshold of the identified tyre, during which step a machine-learning method receives as input the obtained influencing parameters and the data of the training database so that the processor may acquire known wear states corresponding to the number of landings carried out by the identified tyre; - a step of forecasting the number of residual landings (remaining LPT) before achievement of the removal threshold of the identified tyre, during which step the number of residual landings of the identified tyres is computed on the basis of data corresponding to the influencing parameters; and - a comparing step during which the number of residual landings (remaining LPT) before achievement of the removal threshold of the identified tyre, which is output by the forecasting model, is compared with a value of the removal threshold of the identified tyre, and as a consequence the system creates a maintenance schedule for the identified tyre, characterized in that the forecasting method further comprises a step of simulating destination airports of the identified aeroplane on the basis of historic flight data, wherein the simulating step is performed by way of a Markov chain in which each state represents one airport and each inter-airport link represents a probability of landing in one airport starting from another.