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Today, we will explore correction factors in earthmoving operations. Can anyone tell me why they think we need correction factors?
I think we need them to adjust productivity to reflect real site conditions.
Exactly! Correction factors help us modify ideal productivity figures based on actual conditions like soil density and operator skill. For example, if we have a soil density of 1750 kg/m³ instead of the ideal 1365 kg/m³, how do you think that affects our productivity?
It probably decreases our productivity because denser soil is harder to move.
Right! So, we must apply a material weight correction factor, in this case, 0.89. Remember this acronym: **DOPES** — Density, Operator Skill, Product Type, Efficiency, and Soil conditions, to consider all these factors.
Can you remind us how these factors are combined?
Excellent question! We multiply all the correction factors to find an overall productivity adjustment factor. Let’s summarize: correction factors take our ideal conditions and adjust them to reality.
Now, let's move on to calculating the unit cost of our operation. Who can tell me what we divide to find our unit cost per bank meter cube?
Isn't it the total hourly cost divided by the hourly productivity?
Correct! The formula is: Hourly Cost ÷ Hourly Productivity. If we have an ownership cost of 1100 rupees and operating cost of 350 rupees, what is our total cost?
That would be 1450 rupees per hour.
Right again! Now, if our corrected productivity is 55.63 bank cubic meters per hour, how would we find the unit cost?
It would be 1450 divided by 55.63.
Exactly! This gives us a clear understanding of our cost structure. Always be conscious of these calculations when preparing a bidding proposal!
Let's discuss how to convert between bank state and loose state materials. Who can explain what swell percentage is?
Is it how much the soil expands after being dug up?
Correct! Swell percent helps us convert densities from one state to another. Using a formula, we can find loose density from bank density.
What’s the formula again?
The formula is: Swell Percent = (Bank Density - Loose Density) / Loose Density * 100. If we know our bank density is 1750 kg/m³ and our swell is 14%, we can calculate the loose density.
So, can we rearrange the formula to find the loose density?
Exactly! After calculating that, we apply it in productivity adjustments. This connection is crucial for all construction planning.
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This section provides an in-depth look at calculating unit costs associated with earthmoving operations. It covers various correction factors necessary for adjusting productivity values based on project conditions, including soil density, operator skill, material type, and visibility. The section explains how to compute total costs from machine operating costs, leading to the estimation of unit costs for bidding and contract purposes.
This section delves into the calculation methodology of unit costs for earthmoving operations. It underscores the significance of considering various correction factors that modify productivity estimates based on specific project conditions.
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And hope you remember these curves are valid only for these ideal conditions. So, 60 minutes hour but in your project in this problem we found that the machine is working for 50 minutes an hour. So, you are supposed to apply the job efficiency, you have to apply the correction factor accordingly.
In construction and earthmoving contexts, production curves indicate the performance of machinery under ideal conditions, typically assumed as 60 minutes of operation per hour. If a machine operates for less time—like only 50 minutes in this scenario—adjustments (correction factors) must be made to accurately estimate productivity. This correction reflects the lower efficiency due to reduced operational time.
Think of a student studying for an hour but only effectively focusing for 50 minutes. Their productivity during that hour would need to be adjusted to reflect the actual study time, just as the machinery's output needs adjusting due to its shorter working period.
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But this curve value is applicable for a soil density of 1365 kg per meter cube. So, in our case the soil density is given us 1750 kg per meter cube in bank state that is to be noted the soil the bulldozer is going to do is of density 1750 kg per meter cube in bank state that is to be noted. But the curve, the production value what you have chosen from the curve corresponds to the productivity of 1365 kg loose meter cube. So, we need to compare both this material, now apply a correction factor accordingly.
The production curve from which we estimate the machine's output assumes a specific soil density (1365 kg/m³). However, in this project, the actual soil density is significantly higher at 1750 kg/m³. Higher soil density typically means that the bulldozer will have to exert more effort to move the material, thereby affecting overall productivity. Therefore, a correction factor must be applied to adjust the productivity estimate to reflect the increased density of the soil being moved.
Imagine trying to push an empty shopping cart versus one filled with heavy groceries. The effort and time required to move the heavier cart are greater, which mirrors how a bulldozer performs when dealing with denser materials.
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Then other things like operator the curve was drawn for excellent operator skill. So, in our problem the operator skill is average. So, accordingly you have to choose the correction factor and apply. So, your correction factor is going to be less than 1, because it is average is going to reduce your productivity.
The initial production curves assume 'excellent' operator skills, which represent optimal performance. However, if the operator's skill level is average, productivity is expected to be lower. In this case, a correction factor less than 1 is applied, reflecting the reduced productivity level compared to the ideal. This process ensures that the actual operating conditions are considered in productivity assessments.
It's similar to a sports team: if only a few players are playing at their peak, the entire team's performance will reflect that lower capacity. Just like the operator's skill affects the machine's output, every player's ability influences the team's performance.
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Similarly, the material type, material type is non-cohesive silty sand, so that will definitely reduce the productivity. So, the correction factor is going to be less than 1.
Different materials impact productivity differently. Non-cohesive silty sand, for instance, requires more careful handling than cohesive materials. This change in material type leads to another correction factor—again, a value less than 1—which reduces the productivity output derived from the curves. Assessing material type is crucial in understanding and adjusting expected performance.
Think of how easy it is to sandpaper a rough piece of wood versus a smooth one. The rougher material takes more time and effort to handle—just as certain soil types require more intensive handling, reducing productivity.
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So, after you estimate the productivity you are asked to estimate the unit cost of proposed earthmoving operation per bank meter cube. That means, cost per bank meter cube of earthmoving operation, you are going to find it. So, that is nothing but your hourly cost associated with the machine divided by the hourly productivity.
To determine the unit cost for moving earth, you first calculate the productivity (in bank cubic meters) of the bulldozer after applying all relevant correction factors. Then, to find the cost per bank cubic meter, you divide the total hourly cost of operating the bulldozer by this adjusted productivity rate. This result provides a clear understanding of costs, essential for budget planning and bidding in construction projects.
It's like budgeting for a party. If you're aware that each guest will consume a pizza slice but must factor in the rental costs for chairs and tables, you can better estimate how much you'll spend per guest. Similarly, knowing both the costs of operating the bulldozer and its productivity helps provide clarity on the costs of the operation.
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Key Concepts
Correction Factors: Adjustments made to productivity estimates based on operational conditions.
Unit Cost: The cost calculated per volume of work, significant for bidding and project planning.
Swell Percentage: A value indicating the change in soil density upon excavation, crucial for conversion calculations.
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An example illustrating soil density's effect on a bulldozer's productivity: If ideal productivity is 114.68 loose cubic meters per hour but the project density makes it 63.42 loose cubic meters per hour, adjustments must be made.
Calculating hourly production cost: Total machine cost is 1450 rupees/hour and productivity is 55.63 bank cubic meters/hour, resulting in a unit cost of 26.06 rupees per bank cubic meter.
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When soil is dense, it slows your pace, use correction factors to win the race.
Imagine a bulldozer on a site with dense soil. It pushes slow because the soil is tough. By using correction factors, our operator adjusts, turning slow into fast.
D.O.P.E.S: Density, Operator skill, Product type, Efficiency, Soil conditions - remember these to calculate correctly!
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Review the Definitions for terms.
Term: Correction Factor
Definition:
A numerical adjustment applied to account for various operational conditions affecting productivity.
Term: Swell Percentage
Definition:
A measure of how much soil expands when excavated, used to convert between bank and loose densities.
Term: Productivity
Definition:
The measure of output produced per unit of input, often expressed in volume per hour for earthmoving equipment.
Term: Unit Cost
Definition:
The cost associated with producing one unit of activity, typically expressed as cost per bank meter cube.