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A short class with Sarah and her students. The other ways are under More.
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Welcome class! Today we'll be discussing the factors that affect the unit cost of earthmoving operations. Understanding these factors is vital for accurate budgeting and cost predictions. Can anyone tell me why understanding cost is important in a project?
It helps us determine how much we can charge for services and what's feasible for our budget.
And it helps in making decisions about hiring and resource allocation.
Exactly! Now, one major factor is job efficiency. If a machine is designed to work for 60 minutes but only works for 50, how do you think that affects productivity?
We would need to adjust our productivity calculations downwards.
Great insight! This adjustment is often done using correction factors. Does anyone know what a correction factor is?
It's a way to account for real-world conditions affecting productivity compared to ideal conditions.
Exactly! Remember the acronym JOMV (Job Efficiency, Operator Skill, Material Type, Visibility) to help recall some of the main factors we will consider today.
Let's talk about operator skill. If we have an operator with average skills, what impact do we think that will have on unit costs?
It will reduce overall productivity since they might not perform as efficiently as an expert.
Yeah, if they take longer to complete tasks, the costs will go up.
Exactly! And when it comes to material type, what can you tell me about using non-cohesive silty sand versus cohesive materials?
Non-cohesive materials are usually trickier to manage and may lead to lower productivity.
Right! To help remember this, think of the phrase 'Cohesive is Cooperative'. More cooperative materials help maintain performance levels.
That makes sense! So if we're working with silty sand, we should expect lower performance and adjust our cost calculations.
Now, let’s discuss visibility. How do poor visibility conditions affect a machine's operation?
It makes it harder to navigate and operate effectively, which can slow down work.
Exactly! Poor visibility will decrease productivity so we need to include that in our correction factors. What about grade, particularly a negative slope?
A decline can actually help with productivity since gravity assists in moving the load.
That means we might even have a higher correction factor for downhill work!
Precisely! Keep this in mind next time you’re calculating costs. Let's summarize today’s key points: job efficiency, operator skill, material type, visibility, and grade all impact unit cost through their influence on productivity.
Now that we understand the factors, let's look at how to calculate unit cost. What do we need to know?
We need to know the hourly cost and the adjusted productivity.
Then, we can find the unit cost by dividing the hourly cost by the productivity.
Correct! For example, if our hourly cost is 1450 and productivity is 55.63 bank meters per hour, how much is our unit cost?
That's around 26.06 per bank meter cube!
Great job! Remember this calculation; it's heavily used in project bidding. Each factor we've discussed affects this bottom line.
So those correction factors are super important for estimating accurate costs!
The cost of performing a unit of work in earthmoving operations.
Adjustments made to productivity estimates based on real-world conditions.
The proficiency level of the operator affecting productivity.
The classification of soil or material impacting how easily it can be moved.
If an excavator is expected to operate for 60 minutes but only operates for 50, its productivity must be adjusted downward by a factor corresponding to 50/60.
In working with dense silty sand, productivity may be less than for cohesive materials, necessitating a correction factor of less than 1.
To keep costs low and work go fast, check job efficiency’s in the past!
Imagine a racecar driver who needs expert skills to win. Without practice, the race would slow down, just as a machine needs skilled operators to keep on pace.
Remember JOMV to recall job efficiency, operator skill, material type, and visibility.
USE the factors: U for Unit cost, S for Skill, E for Efficiency.
Term
Job Efficiency
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Term
Correction Factor
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The ratio of actual machine operating time to the total available time, usually expressed in minutes per hour.
A numerical factor applied to adjust calculated productivity or costs based on specific project conditions.
The condition of how clearly workers can see during operation, often affected by weather and lighting.
The slope of the terrain where earthmoving operations are conducted, impacting the ease or difficulty of the work.
The factor used to adjust productivity estimates based on the density of the soil being moved.
This section explains the various factors that influence the unit cost of earthmoving operations, including machine efficiency, operator skill, material type, and correction factors.
In this section, we explore several critical factors affecting unit costs in earthmoving operations. It covers the importance of job efficiency, operator skill, material density, visibility, grade, and machine transmission factors. Through correction factors, we can adjust productivity and cost estimates to match real project conditions.
In this section, we examine the specific factors that influence the unit cost associated with earthmoving operations. Firstly, it is important to understand that productivity curves are valid only under ideal conditions. Factors such as job efficiency, operator skill, and the type of material being handled all play a significant role in adjusting these curves to reflect actual conditions.
Key points discussed include the need to apply correction factors, particularly regarding:
Together, these factors are factored into correcting productivity estimates, which are then used to calculate the unit cost of operation, resulting in critical insights for planning and budgeting in construction and earthmoving projects.