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 |
Files in This Item:
File | Description | Size | Format | |
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ShorthouseK2012m-1b.pdf | 7.99 MB | Adobe PDF | View/Open |
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