Comments on: Why Naive is not a good benchmark for intermittent demand https://openforecast.org/2024/12/02/why-naive-is-not-a-good-benchmark-for-intermittent-demand/ How to look into the future Thu, 09 Jan 2025 09:44:21 +0000 hourly 1 https://wordpress.org/?v=6.9.4 By: Ivan Svetunkov https://openforecast.org/2024/12/02/why-naive-is-not-a-good-benchmark-for-intermittent-demand/#comment-205 Thu, 09 Jan 2025 09:44:21 +0000 https://openforecast.org/?p=3739#comment-205 Yes, sure. I would include the following in the list of benchmarks for intermittent demand:

1. SMA,
2. Simple Exponential Smoothing,
3. Global Average,
4. Zero forecast (just a sanity check to make sure that everything is in order).

The more complicated benchmarks would be:
5. Croston’s method (https://doi.org/10.2307/3007885)
6. TSB (https://doi.org/10.1016/j.ejor.2011.05.018)

Hope that helps.

]]> By: Indar Kusmadi https://openforecast.org/2024/12/02/why-naive-is-not-a-good-benchmark-for-intermittent-demand/#comment-204 Thu, 09 Jan 2025 03:20:19 +0000 https://openforecast.org/?p=3739#comment-204 The blog post mentions SMA as a possible alternative to Naive for forecasting intermittent demand. Could you elaborate on other forecasting methods that might be more suitable for this scenario? Telkom University Jakarta

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