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

dc.contributor.advisorPulkki, Reino
dc.contributor.advisorShahi, Chander
dc.contributor.authorShorthouse, Kevin D.
dc.date.accessioned2012-11-11T02:11:05Z
dc.date.available2012-11-11T02:11:05Z
dc.date.created2012-02
dc.date.issued2012-11-10
dc.identifier.urihttp://knowledgecommons.lakeheadu.ca/handle/2453/239
dc.description.abstractSupply 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.isoen_USen_US
dc.subjectLumber value recoveryen_US
dc.subjectBorealen_US
dc.subjectStud sawmillen_US
dc.subjectLog scanningen_US
dc.subjectEnhanced forest inventoryen_US
dc.subjectSupply chainen_US
dc.titlePre-harvest lumber value recovery modeling: integrating sawline laser-scanning with an enhanced forest inventoryen_US
dc.typeThesisen_US
etd.degree.nameMaster of Scienceen_US
etd.degree.levelMasteren_US
etd.degree.disciplineForestryen_US
etd.degree.grantorLakehead Universityen_US
dc.contributor.committeememberLeitch, Mathew


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