Combining slash bundling with in-woods grinding operations
Combining slash bundling with in-woods grinding operations
Combining slash bundling with in-woods grinding operations
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undl<strong>in</strong>g, load<strong>in</strong>g and haul<strong>in</strong>g, and gr<strong>in</strong>d<strong>in</strong>g stages of operation respectively. Regional delivered<br />
hog fuel prices dur<strong>in</strong>g the time of study was surveyed at $50 a bone dry ton (BDT).<br />
Results & Discussion<br />
Cycle time regression equations<br />
Regression equations developed from the time study data <strong>with</strong> significant variables (p < 0.05, α<br />
= 0.05) were summarized <strong>in</strong> Table 3. Both models for the bundler and the hook-lift truck had<br />
high r-squared values, <strong>in</strong>dicat<strong>in</strong>g that they might be effective <strong>in</strong> estimat<strong>in</strong>g the productivity for<br />
load<strong>in</strong>g and haul<strong>in</strong>g.<br />
Bundl<strong>in</strong>g cycle time was affected ma<strong>in</strong>ly by different handl<strong>in</strong>g and arrang<strong>in</strong>g activities such as,<br />
the number of grapples to pick up <strong>slash</strong>, or the number of <strong>in</strong>-feeds to place the <strong>slash</strong> on the <strong>in</strong>feed<br />
table for <strong>bundl<strong>in</strong>g</strong>. The grappl<strong>in</strong>g element consumed the greatest amount of time dur<strong>in</strong>g an<br />
average <strong>bundl<strong>in</strong>g</strong> cycle (0.85 m<strong>in</strong>utes, 44.5%), while the travel<strong>in</strong>g element was responsible for<br />
the smallest portion of cycle time (0.09 m<strong>in</strong>utes, 4.8%; Figure 4). This was most likely due to the<br />
fact that the mach<strong>in</strong>e could rema<strong>in</strong> stationary because of the amount of <strong>slash</strong> available <strong>with</strong><strong>in</strong><br />
reach, and spent the greatest of time grappl<strong>in</strong>g <strong>in</strong> order to properly align <strong>slash</strong> for efficient <strong>in</strong>feed<strong>in</strong>g.<br />
The regression equation also <strong>in</strong>dicated that the number of sw<strong>in</strong>g cycles for which the<br />
bundler picks up <strong>slash</strong> and places it on the <strong>in</strong>-feed table had a significant effect on cycle time.<br />
When consider<strong>in</strong>g the effect of pile classification on estimated <strong>bundl<strong>in</strong>g</strong> cycle time, pile class 1,<br />
pile class 2, and pile class 6 were the only pile classes found to be statistically significant (pvalue<br />