Lohmander, Peter
- Institutionen för skogsekonomi, Sveriges lantbruksuniversitet
Konferensabstrakt2003
Lohmander, Peter
Multi period linear programming with integer and quadratic generalizations, have often been used to optimise forest level scheduling under constraints. Then, stochastic markets and environmental conditions have usually been neglected. Adaptive decisions and sequential information concerning changes of exogenous stochastic variables have sometimes been considered in stand analysis. Then, higher level constraints have not been considered. This paper contains definitions and preliminary analyses of typical adaptive real world harvest scheduling problems at forest properties with stochastic markets. Adaptive approaches from stochastic scenario optimisation and from stochastic dynamic programming are used and compared
New Opportunities for Operations Research
2003, Volym: 2003
Utgivare: INFORMS
New Opportunities for Operations Resear
Skogsvetenskap
Samhällsvetenskap
Ekonomi och näringsliv
https://res.slu.se/id/publ/2245