State Level Log Production Planning Using Linear Programming
This study aims to develop a log production planning model and to apply it at State-level planning. In the near future,Malaysia will have to rely more and more on the Permanent Forest Estate (PFE), after the State land forests have all been converted for agricultural development. A more efficie...
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| Language: | English English |
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1989
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| Online Access: | http://psasir.upm.edu.my/id/eprint/9845/1/FH_1989_1_A.pdf |
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my-upm-ir.98452011-02-23T07:38:54Z State Level Log Production Planning Using Linear Programming 1989 Abdul Rahim, Abdul Rahman This study aims to develop a log production planning model and to apply it at State-level planning. In the near future,Malaysia will have to rely more and more on the Permanent Forest Estate (PFE), after the State land forests have all been converted for agricultural development. A more efficient and effective log production planning model is essential to ensure that the forestry sector continues to contribute to the socio-econamic development of the country. A log production planning model (LPPM) was developed, consisting of a stand projection (STANDPROJ) model and a Linear Programming (LP) (LOGPROD) model. Data for the models were collected fran the State of Negeri Sembilan. STANDPROJ estimates forest yield which are used, together with forest areas am forest management policies, to generate an LP problem matrix in LOIUS spreadsheet. The matrix is accessed am solved by an LP optimizer. The optimizer also transmits the solution back to LOIUS which acts both as a matrix generator and report writer. Log - Linear models - Data processing 1989 Thesis http://psasir.upm.edu.my/id/eprint/9845/ http://psasir.upm.edu.my/id/eprint/9845/1/FH_1989_1_A.pdf application/pdf en public masters Universiti Pertanian Malaysia Log - Linear models - Data processing Faculty of Forestry English |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English English |
| topic |
Log - Linear models - Data processing |
| spellingShingle |
Log - Linear models - Data processing Abdul Rahim, Abdul Rahman State Level Log Production Planning Using Linear Programming |
| description |
This study aims to develop a log production planning
model and to apply it at State-level planning. In the near
future,Malaysia will have to rely more and more on the
Permanent Forest Estate (PFE), after the State land forests have
all been converted for agricultural development. A more
efficient and effective log production planning model is
essential to ensure that the forestry sector continues to
contribute to the socio-econamic development of the country.
A log production planning model (LPPM) was developed,
consisting of a stand projection (STANDPROJ) model and a Linear
Programming (LP) (LOGPROD) model. Data for the models were collected fran the State of Negeri Sembilan. STANDPROJ
estimates forest yield which are used, together with forest
areas am forest management policies, to generate an LP
problem matrix in LOIUS spreadsheet. The matrix is accessed
am solved by an LP optimizer. The optimizer also transmits
the solution back to LOIUS which acts both as a matrix
generator and report writer. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Abdul Rahim, Abdul Rahman |
| author_facet |
Abdul Rahim, Abdul Rahman |
| author_sort |
Abdul Rahim, Abdul Rahman |
| title |
State Level Log Production Planning Using Linear Programming |
| title_short |
State Level Log Production Planning Using Linear Programming |
| title_full |
State Level Log Production Planning Using Linear Programming |
| title_fullStr |
State Level Log Production Planning Using Linear Programming |
| title_full_unstemmed |
State Level Log Production Planning Using Linear Programming |
| title_sort |
state level log production planning using linear programming |
| granting_institution |
Universiti Pertanian Malaysia |
| granting_department |
Faculty of Forestry |
| publishDate |
1989 |
| url |
http://psasir.upm.edu.my/id/eprint/9845/1/FH_1989_1_A.pdf |
| _version_ |
1747811007278874624 |