Skip to main content

An Application of Linear Programming for Short-Term Harvest Scheduling

MacMillan, Douglas C., Fairweather, S.E. (1988) An Application of Linear Programming for Short-Term Harvest Scheduling. Northern Journal of Applied Forestry, 5 (2). pp. 145-148. ISSN 0742-6348. (KAR id:23107)

PDF (An Application of Linear Programming)
Language: English
Click to download this file (376kB) Preview
[thumbnail of An Application of Linear Programming]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format

Abstract

The technique of linear programming (LP) is illustrated by developing a harvest schedule for an industrial forest ownership in northwestern Pennsylvania. The objective was to maximize net present value of the harvest over a five-year planning period. The effect of changes in timber value and growth rate on the optimum schedule was determined. Sensitivity analysis provided additional information the manager could use to make decisions. In order to successfully apply LP, the forester must be able to define the management objective of the harvest schedule and the resource and managerial constraints that will influence its attainment. Data used in the model have to be available and reliable. Many forest enterprises should be in the position to adopt LP since commercial programs for microcomputers are now available for which a high level of computing expertise is not required.

Item Type: Article
Subjects: S Agriculture > SD Forestry
Divisions: Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Depositing User: Douglas MacMillan
Date Deposited: 23 Oct 2009 11:06 UTC
Last Modified: 16 Nov 2021 10:01 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/23107 (The current URI for this page, for reference purposes)
MacMillan, Douglas C.: https://orcid.org/0000-0003-2573-5049
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.