Keyword Search:

Linear programming technique for timber management planning in Peninsular Malaysia

Hadi, Yusuf (1987) Linear programming technique for timber management planning in Peninsular Malaysia. In: The ASEAN Seminar on Forest Planning, 5-7 Nov. 1987, Kuantan, Malaysia.

[img] PDF
Restricted to Repository staff only

1312Kb

Abstract

Linear Programming (LP) is introduced as a tool for timber management planning in Peninsular Malaysia. Timber management planning involves making decisions on which, when and how much forest area to harvest and subsequently to regenerate over a specified time period to ensure an acceptable log flow in the short term and a continuous log production and a continuous log production in the long term. An LP model is described which determines the number of ha of a forest management unit to be managed under a particular management regime such that an objective function is optimized, subject to constraints relating to size and accessibility of forest areas, periodic requirements and harvest and regulation policies. The model can incorporate several useful features such as variable planning-period lenghts, variable cutting cycles and several alternative objective functions and methods of controlling the harvest levels. These and other advantages of the LP technique are illustrated in an application of the model to plan timber supply from the forests of Peninsular Malaysia.

Item Type:Conference or Workshop Item (Paper)
Subject:Forest management - Peninsular Malaysia
Subject:Forests and forestry - Mathematical models
Subject:Linear programming
Faculty or Institute:Faculty of Forestry
ID Code:17793
Deposited By: kmportal
Deposited On:19 Jul 2011 02:20
Last Modified:08 Jan 2015 07:04

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 19 Jul 2011 02:20.

View statistics for "Linear programming technique for timber management planning in Peninsular Malaysia"

 
 
 
 

Universiti Putra Malaysia Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.
Universiti Putra Malaysia Institutional Repository supports OAI 2.0 with a base URL of http://psasir.upm.edu.my/cgi/oai2
Best viewed using IE version 7.0 (and above) Mozilla Firefox version 3 (and above) with the resolution of 1024 x 768.