Forest harvest-planning software still leans on bespoke, closed toolchains that make it hard for regulators, Indigenous governments, and researchers to audit models or extend them for emerging policy questions. Jaffray et al. (2025, submitted to the International Journal of Forest Engineering) catalogue the recurring pain points: one-off solver integrations, weak telemetry, limited robustness testing, and siloed datasets that rarely ship with reproducible scripts. FHOPS exists to close those gaps for B.C. operations and comparable jurisdictions.

This paper highlights three gaps we actively address:

1. Open, reusable tooling. FHOPS publishes its data contract, CLI, and solver implementations under MIT so other teams can ingest the same scenarios, swap heuristics, and contribute modules without vendor lock-in. The scenario schema mirrors what forestry engineers already use in practice (blocks, machines, landings, shifts), but the implementation is scriptable and version-controlled.

2. Integrated workflow + automation. Instead of the ad hoc “optimizer + spreadsheet” pattern flagged in the review, FHOPS provides deterministic solvers (Pyomo+HiGHS), SA/ILS/Tabu heuristics, a turnkey tuning harness, and telemetry/playback tooling that run from the same CLI pipeline. Every figure/table in the manuscript will be regenerated from the exact scripts users run locally.

3. Robust evaluation + extensibility. FHOPS layers stochastic playback, stress testing, and cost models over the base scheduler so we can quantify solution stability before fielding new policies. Those evaluation hooks also pave the way for forthcoming BC case-study validations (two–three tenures) that will reuse the platform documented here while reporting context-specific findings in separate publications.

Reuse plan: exporter script will render this Markdown into sections/includes/motivation_story.tex for the manuscript and docs/overview_shared_motivation.rst for Sphinx so the same paragraphs stay synchronized.