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The challenge of accurately forecasting demand for spare parts is due to the intermittent nature of their demand. This study compares a recent modification of Croston's method and a method based on Holt's double exponential smoothing taking the firm's competitive priorities into consideration. Wright's modification of Holt's method is presented as a viable alternative when forecasting demand for spares especially when trend is present. Results indicate that firms focusing on minimizing inventory levels as a priority should consider forecasting using the Modified Croston's method. If their priority is high customer service, then the modified Holt's method is superior.