Efficient planning of forest harvesting operations can significantly reduce the costs associated with logistics and improve the economic performance of companies in the sector. In Uruguay, almost 75% of total forest harvesting operations for pulp production are carried out by forest contractors. The objective of this study is to optimize the re-planning and routing of the harvesting equipment of forest contractors due to failures in the same. For this problem a combinatorial optimization model is considered, based on the Problem of the Multiple Traveller Vendor with Multiple Deposits (MmTSP) and an algorithm for the reprogramming of crop tours, in cases of failure or temporary unavailability of harvesting equipment. Numerical experiments have shown that realistic sized instances can be solved by standard mathematical programming software in a reasonable time.