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UBC Theses and Dissertations
Multi-criteria timber allocation models for the analysis of sustainable forest management decisions Marinescu, Marian V.
Abstract
The problem addressed in this dissertation is that of optimally allocating timber to different processing facilities, while meeting the multi-criteria conditions of sustainable forest management and integrating the medium-term and operational decisions. A Multi-criteria Timber Allocation Model using goal programming was developed to include various criteria and indicators for sustainable forest management. The allocation procedure was demonstrated using five allocation criteria: profit, employment, wildlife, recreation, and visual. In a case analysis, two multi-criteria allocation scenarios, generated with different sets of goal weights, were compared against a profit-based scenario. The results demonstrated the capability of the Multi-criteria Timber Allocation Model to deal with sustainability criteria in a practical and flexible manner. A DEA Timber Allocation Model was developed using Data Envelopment Analysis, a method of calculating technical efficiencies of different operations. The model was demonstrated using two allocation criteria: profit and employment. The allocation results were compared to those of random, profit-based, and employment-based allocations and suggested that the model balanced the two allocation criteria without the need for their prioritization. However, adding other allocation criteria was complicated by procedural concerns. A two-level Hierarchical Timber Allocation Model was developed to integrate the medium-term and operational decisions, while accounting for the sustainability criteria. At the medium-term level, the Multi-criteria Timber Allocation Model was implemented to optimally allocate stewardship units to different forest products companies. At the operational level, the FTP Analyzer®, a sawmilling optimization model, was implemented for each company to optimally process the allocated timber. An iterative algorithm was developed and demonstrated, in which the two planning levels reached mutually beneficial solutions. The model was demonstrated with an array of policy questions and revealed potential effects on both manufacturing processes and sustainability criteria. Future research was recommended to allow other criteria and indicators for sustainable forest management to be included in the DEA Timber Allocation Model. The Hierarchical Timber Allocation Model could also benefit from the addition of a strategic planning level, which could address the long-term, forest ecosystem management decisions and provide the medium-term level with available harvesting areas.
Item Metadata
Title |
Multi-criteria timber allocation models for the analysis of sustainable forest management decisions
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2004
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Description |
The problem addressed in this dissertation is that of optimally allocating timber to different
processing facilities, while meeting the multi-criteria conditions of sustainable forest
management and integrating the medium-term and operational decisions.
A Multi-criteria Timber Allocation Model using goal programming was developed to
include various criteria and indicators for sustainable forest management. The allocation
procedure was demonstrated using five allocation criteria: profit, employment, wildlife,
recreation, and visual. In a case analysis, two multi-criteria allocation scenarios, generated
with different sets of goal weights, were compared against a profit-based scenario. The
results demonstrated the capability of the Multi-criteria Timber Allocation Model to deal
with sustainability criteria in a practical and flexible manner.
A DEA Timber Allocation Model was developed using Data Envelopment Analysis, a
method of calculating technical efficiencies of different operations. The model was
demonstrated using two allocation criteria: profit and employment. The allocation results
were compared to those of random, profit-based, and employment-based allocations and
suggested that the model balanced the two allocation criteria without the need for their
prioritization. However, adding other allocation criteria was complicated by procedural
concerns.
A two-level Hierarchical Timber Allocation Model was developed to integrate the
medium-term and operational decisions, while accounting for the sustainability criteria. At
the medium-term level, the Multi-criteria Timber Allocation Model was implemented to
optimally allocate stewardship units to different forest products companies. At the
operational level, the FTP Analyzer®, a sawmilling optimization model, was implemented
for each company to optimally process the allocated timber. An iterative algorithm was
developed and demonstrated, in which the two planning levels reached mutually beneficial
solutions. The model was demonstrated with an array of policy questions and revealed
potential effects on both manufacturing processes and sustainability criteria.
Future research was recommended to allow other criteria and indicators for sustainable
forest management to be included in the DEA Timber Allocation Model. The Hierarchical
Timber Allocation Model could also benefit from the addition of a strategic planning level,
which could address the long-term, forest ecosystem management decisions and provide
the medium-term level with available harvesting areas.
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Extent |
28329256 bytes
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Genre | |
Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2009-12-01
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Provider |
Vancouver : University of British Columbia Library
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Rights |
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
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DOI |
10.14288/1.0075056
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2004-11
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Campus | |
Scholarly Level |
Graduate
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Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.