Pre-harvest lumber value recovery modeling: integrating sawline laser-scanning with an enhanced forest inventory
| dc.contributor.advisor | Pulkki, Reino | |
| dc.contributor.advisor | Shahi, Chander | |
| dc.contributor.author | Shorthouse, Kevin D. | |
| dc.date.accessioned | 2012-11-11T02:11:05Z | |
| dc.date.available | 2012-11-11T02:11:05Z | |
| dc.date.created | 2012-02 | |
| dc.date.issued | 2012-11-10 | |
| dc.identifier.uri | http://knowledgecommons.lakeheadu.ca/handle/2453/239 | |
| dc.description.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). | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | Lumber value recovery | en_US |
| dc.subject | Boreal | en_US |
| dc.subject | Stud sawmill | en_US |
| dc.subject | Log scanning | en_US |
| dc.subject | Enhanced forest inventory | en_US |
| dc.subject | Supply chain | en_US |
| dc.title | Pre-harvest lumber value recovery modeling: integrating sawline laser-scanning with an enhanced forest inventory | en_US |
| dc.type | Thesis | en_US |
| etd.degree.name | Master of Science | en_US |
| etd.degree.level | Master | en_US |
| etd.degree.discipline | Forestry | en_US |
| etd.degree.grantor | Lakehead University | en_US |
| dc.contributor.committeemember | Leitch, Mathew |
