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1 Establishing a standard work sampling method for mastication ...

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leaving a mat of shredded wood on the soil surface (Jain et al. 2007). Mastication is an<br />

alternative <strong>for</strong> fire hazard reduction when the treatment area cannot be burned, mechanical<br />

removal of excessive fuels is cost prohibitive, or impacts on soil and sedimentation are of<br />

concern (Coulter et al. 2002; Rummer et al. 2003; Hatchett et al. 2006; Han et al. 2006; Kane et<br />

al. 2009).<br />

There are a variety of <strong>method</strong>s that can be employed to analyze the cost and evaluate operational<br />

efficiency of <strong>for</strong>est operations. Among <strong>method</strong>s, the detailed time and motion study <strong>method</strong><br />

using a stopwatch <strong>work</strong>s well in evaluating cyclic activities where there is a repetitive defined<br />

course of events (Olsen and Kellogg 1983). The <strong>work</strong> <strong>sampling</strong> <strong>method</strong> is less commonly used,<br />

but can be effectively used to evaluate non-cyclic activity such as <strong>mastication</strong> (Pape 1992;<br />

Bolding 2009 personal comm.) Work <strong>sampling</strong> consists of a series of consecutive observations<br />

where the current activity of the machines is documented (Heiland and Richardson 1957; Miyata<br />

1981; Olsen and Kellogg 1983; Pape 1992; Liao and Pape 1996; Bolding 2006).<br />

There are certain advantages and limitations to <strong>work</strong> <strong>sampling</strong> when compared to detailed time<br />

and motion studies. Among the advantages, the most poignant include: the ability to control the<br />

accuracy by increasing the number of observations, data reduction and analysis are easier and<br />

less time consuming, and the data can often be collected by one researcher who requires less<br />

training than necessary <strong>for</strong> time and motion studies (Miyata et al. 1980). Despite the advantages,<br />

<strong>work</strong> <strong>sampling</strong> is not always correct choice as it does not record machine cycle times and may<br />

report uncharacteristic proportions if the machine cycle and observation interval coincide. Also,<br />

important events between observation times may be missed and short delays may be reported<br />

incorrectly with increase in interval length (Olsen and Kellogg 1983). Among the several <strong>work</strong><br />

<strong>sampling</strong> <strong>method</strong>s, there is ambiguity as to which <strong>method</strong> is the best to evaluate masticators.<br />

The objective of this study was to establish a <strong>standard</strong> <strong>work</strong> <strong>sampling</strong> <strong>method</strong> <strong>for</strong> <strong>mastication</strong><br />

operations analysis, allowing researchers and land managers to evaluate operations efficiency<br />

and conduct fair cost comparisons. This <strong>method</strong> should aid in making in<strong>for</strong>med decisions<br />

resulting in efficient use of masticators to accomplish fuels treatment objectives in a costeffective<br />

manner. Our main approach was to compare various <strong>work</strong> <strong>sampling</strong> <strong>method</strong>s to a<br />

reference <strong>method</strong> to identify a <strong>work</strong> <strong>sampling</strong> <strong>method</strong> that provide the most accurate details on<br />

<strong>mastication</strong> operations with a minimum ef<strong>for</strong>t and time.<br />

Methods<br />

Study sites and <strong>mastication</strong> treatments<br />

Mastication <strong>for</strong> fuel hazard reduction was implemented at Humboldt State University’s L.W.<br />

Schatz Demonstration Tree Farm, located near Maple Creek in northwestern Cali<strong>for</strong>nia. Steep<br />

topography and availability of brush fields limited the area suitable <strong>for</strong> operation to nine small<br />

units of similar slope and fuel load conditions (Table 1). The areas selected were dominated<br />

primarily by a dense cover of shrub species such as pacific poison oak (Toxicodendron<br />

diversilobum (Torr. & A. Gray) Greene), blue blossom (Ceanothus thyrsiflorus Eschsch.), and<br />

coyote brush (Baccharis pilularis DC.).<br />

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