Notes: Optimal Stocking Levels and Rotation Under Uncertainty

$29.50 plus tax (Refund Policy)

Buy Article:


Decision making under uncertainty involves making decisions in situations where there is no information concerning future events. To resolve this problem in optimal stocking control when the growth function of a species is initially unavailable and the decision maker is risk neutral, adaptive optimization can be used which utilizes the information generated in previous stages to transform the decision problem from the case of uncertainty to risk. At each stage, the growth function is revised by considering newly obtained growth data. The current stocking level which was determined in the latest optimization is used as the initial stocking level for a new optimization. The mean annual increment (MAI) of each stage is calculated, and the stage where the MAI culminates is the optimal rotation. The proposed model is applied to a hypothetical Douglas-fir stand as an illustration. The values of information are calculated from the MAI under certainty, risk, and uncertainty. Forest Sci. 30:921-927.

Keywords: Decision analysis; adaptive optimization; dynamic programming; risk

Document Type: Miscellaneous

Affiliations: Associate Professor, Department of Industrial Management Science, National Cheng Kung University, Tainan, Taiwan, Republic of China

Publication date: December 1, 1984

More about this publication?
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content



Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect 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