Stochastic dynamic programming with Markov chains for optimal sustainable control of the forest sector with continuous cover forestry
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICIORS10_055
تاریخ نمایه سازی: 11 شهریور 1397
Abstract:
This paper presents a stochastic dynamic programming approach with Markov chains for optimal control of the forest sector. The forest is managed via continuous cover forestry and the complete system is sustainable. Forest industry production, logistic solutions and harvest levels are optimized based on the sequentially revealed states of the markets. Adaptive full system optimization is necessary for consistent results. The stochastic dynamic programming problem of the complete forest industry sector is solved. The raw material stock levels and the product prices are state variables. In each state and at each stage, a quadratic programming profit maximization problem is solved, as a sub problem within the STDP algorithm
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Authors
Peter Lohmander
Linnaeus University and Optimal Solutions, Sweden
Soleiman Mohammadi Limaei
Department of Forestry, University of Guilan, Iran