Skip to main content

Complementary Linear and Goal Programming Procedures for Timber Harvest Scheduling

Buy Article:

$29.50 plus tax (Refund Policy)


Linear programming (LP) is one of the most widely used models for timber harvest scheduling. Goal programming (GP) is a variation of LP frequently used to analyze multiple-objective problems such as those that arise in land management planning. A technique for complementary use of LP and GP provides improved sensitivity testing and strategy selection in timber harvest scheduling. Such a procedure is demonstrated with data from a National Forest and with Timber RAM (Resources Allocation Method) used as the LP model. Forest Sci. 26:121-133.

Keywords: National Forest planning; Timber RAM; timber management; vector optimization

Document Type: Journal Article

Affiliations: Professor of Forest Resources and Finance, University of Georgia, Athens

Publication date: March 1, 1980

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more