Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/239
Title: Pre-harvest lumber value recovery modeling: integrating sawline laser-scanning with an enhanced forest inventory
Authors: Shorthouse, Kevin D.
Keywords: Lumber value recovery;Boreal;Stud sawmill;Log scanning;Enhanced forest inventory;Supply chain
Issue Date: 10-Nov-2012
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).
URI: http://knowledgecommons.lakeheadu.ca/handle/2453/239
metadata.etd.degree.discipline: Forestry
metadata.etd.degree.name: Master of Science
metadata.etd.degree.level: Master
metadata.dc.contributor.advisor: Pulkki, Reino
Shahi, Chander
metadata.dc.contributor.committeemember: Leitch, Mathew
Appears in Collections:Electronic Theses and Dissertations from 2009

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