Pre-harvest lumber value recovery modeling: integrating sawline laser-scanning with an enhanced forest inventory

Abstract

Supply chain management research in forestry is becoming increasingly important in the forest sector worldwide. Predicting lumber value recovery from pre-harvest forest inventory forms an important aspect of forestry supply chain management research. The purpose of this research was to conduct a case study for tracking a stud sawmill's supply chain in Ontario's boreal forest from pre-harvest forest inventory through to green lumber value recovery (GLVR).