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ŠUMARSKI LIST 7-8/2017 str. 40     <-- 40 -->        PDF

operations. It was also reported that forest products were sold at the landing areas in 11 forest compartments.      
In the Scenario II, it was assumed that forest products were sold at the landing areas in all of the forest compartments. The objective function was developed without considering hauling and road construction techniques. Thus, it was aimed to minimize the time spent on post-fire salvage logging operations by considering 20 forest components, three damage assessment groups, three felling techniques, and six timber extraction techniques. The optimum solution with shortest salvage logging time was searched through 1080 alternative logging systems.    
In the Scenario III, optimum logging system combination with minimum operation time was searched for six forest compartments that required new road sections in the study area. Thus, the effects of road construction on total time of salvage logging operation were analyzed. In the model, three damage assessment groups, three felling techniques, six timber extraction techniques, two timber hauling techniques, and two road construction techniques were evaluated. The optimum solution with shortest salvage logging time was searched through 1296 alternative logging systems.
3. Results and Discussion
3. Rezultati I Rasprava
The time spent on post-fire salvage logging operation could be minimized by using multi matrix model based on the alternative forest operation techniques, damage assessment, and seasons, while considering ecologic, economic, and social (i.e. employment condition) constraints. The effect coefficients of these constraints for operation time were determined based on multi-criteria analysis. The effect coefficient for felling time indicated that possibility of using harvester potentially reduces felling time but it was not a cost efficient alternative (Table 7).   
In Turkey, mechanized harvesting systems using harvester, feller-buncher, etc. can be very expensive, since machinery has high initial purchase prices and operating cost, which is correlated with very high fuel prices (Akay and Sessions, 2004). It was found that harvester minimized the time of felling activities in the both scenarios. The average felling time of harvester was 48.15 min per unit volume (m3). On