DECISION-SUPPORT SYSTEM FOR WOOD HARVESTING PLANNING IN RUSSIA

Extraction of wood by cut-to-length harvesting method (CTL) is becoming a common practice in Russia. Logging companies are faced a large number of options for CTL planning, but they have limited knowledge of the potential in CTL logistics. Objective is to develop a decision support system (DSS) for CTL analyzing at a company level. DSS provides the comprehensive view on the benefits and limitations of different CTL options for making sound short and long term decisions. DSS has been constructed in MapInfo environment using C++ for coding/simulation. The system generates delivery plans, which reduce the CTL costs and rationalize the usage of machinery fleet.