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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.grantor阿根廷vs墨西哥竞猜 en_us
dc.contributor.committeememberleitch, mathew


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