Planning Department
Transcript: Financial Discount Rates ---> Portfolio Costs and Expenses ---> Operations Price Forecast ---> Economist Cashflow Constraints ---> Portfolio ? Meet client objectives using variety of data Biological Financial Regulatory Use Woodstock model to optimize Review with all interested parties Portfolio Resource Planning Operations Field Staff Valuations Revise, remodel, repeat Biological Forest Inventory ---> Resources Growth and Yield ---> Biometrician Soils, Site Index, Slope ---> GIS Woodstock Questions Planning Department Regulatory Operational Constraints ---> Field Staff Environmental Regulations Fiber Supply Agreements SFI Long Term Plans Strategic models (50-100 years) Short term tactical Schedule management activities Baseline for internal valuations Update at least every 5 years Data Inputs How Review Iterative process of informal and formal review Assumptions Review meeting Field staff meetings Operational Review meeting Investment Committee Review meeting Reports to illustrate results and important metrics Stand lists for field to review Many players, everyone must be on board For LTP finalization must be accepted by IC Why LTPs provide woodflows and acres for Timber Investment Model Internal valuations Cashflow expectations LTPs used as a guide for tactical operations and budgeting Harvest Target Updates also important Many moving parts Frequent changes of inputs Optimize Who we are What we do Model Anatomy Similar to database Spatial data has stand attributes Yield tables for all stands Section for all possible actions (plant, harvest, thin, fertilize, etc.) Section for all transitions (what happens after the action) Section defining all outputs Section to establish LP function and constraints Matrix creation with all possible options Model chooses optimal solution Harvest Target Updates Reassess harvest targets during annual budgeting Deviate from LTP for many reasons Linear Optimization Allocate limited resources to competing activities Only one objective function All our models have same objective: Maximize NPV Deterministic, no randomness Use Woodstock