Loading the lesson
Loading the lesson
Search AllRounder.ai
Search the courses, subjects, tracks, games and features, or jump straight to a page.
Search the courses, subjects, tracks, games and features, or jump straight to a page.
Learn it your way
A short class with Sarah and her students. The other ways are under More.
Sign up free to listen. Transcripts are free to read.
Today, we’re going to kick off by discussing the use of 5 scrapers. Who can tell me what happens when we have fewer scrapers than needed?
I think the scrapers would be busy and might control the production pace.
Exactly! That's a key point. With 5 scrapers, they end up controlling the production since there are fewer than ideal. This results in the scrapers becoming the critical component.
But what about the pusher?
Great question! The pusher will have idle time while waiting for the scrapers to load. So, as you see, productivity suffers with this arrangement. If we now did some calculations, we can estimate the productivity.
How do we actually calculate that productivity?
"We use the formula:
Now, what changes when we consider using 6 scrapers instead of 5?
The situation flips, and the pusher becomes critical, right?
Exactly! With more scrapers than needed, the scrapers might not be utilized fully, leading to the pusher controlling production. Let’s see how we calculate the productivity in this case too.
Is the formula different?
The formula remains the same, but we change the values. Now reuse the cycle time that the pusher utilizes, to find the new productivity. Can anyone remind us of that cycle time for the pusher?
It’s 1.37 minutes, right?
Correct! Let’s run the numbers. We multiply efficiency by volume and number of scrapers, then divide by the pusher’s cycle time.
So, that’s 723.36 bank cubic meters per hour?
Absolutely! So, we can see that using 6 scrapers increases productivity. However, let’s think about cost.
Now let's compare the costs associated with both setups. What should we keep track of?
We need to consider the cost per bank cubic meter for both 5 and 6 scrapers.
Exactly! Each scenario has its own hourly operation costs. Can anyone summarize what the costs per hourly use were?
The pusher cost is ₹5600 per hour, and the scraper costs ₹4500 per hour.
Perfect! Now, how do we calculate the unit production cost when using 5 scrapers?
It’s the total hourly cost divided by the productivity, right?
Yes! So, plugging in the values gives us the cost for 5 scrapers at ₹44.12 per bank cubic meter, compared to ₹45.07 if we use 6.
So, even though 6 scrapers are more productive, they actually cost more.
That’s the crux! It emphasizes the importance of balancing cost versus productivity for decision-making in operations.
Five scrapers wait in queue, production slows right down, / But with six in the game, the pusher runs the town.
Imagine a busy construction site where scrapers are racing. With only five, the work slows down. But adding a sixth scraper transforms the speed—better productivity but consider the cost!
Remember S.C.C. for Scraper Cost Calculation: S for Scraper count, C for Costs, C for Cycle time relation.
P.U.C. — 'Productivity, Unit Cost' helps recall priorities when balancing machine deployment.
Term
What do you call the operational cost of a pusher?
Click to flip
Term
What is the productivity of 6 scrapers?
Click to flip
A piece of heavy machinery used for excavation, loading, and transporting material.
A machine that supports scrapers by pushing them to load materials efficiently.
The quantity of material produced or moved by the scrapers per unit of time, often measured in bank cubic meters per hour.
The total time taken to complete one operation cycle, including loading, transporting, and unloading.
The cost associated with producing one unit of output, measured in currency per bank cubic meter.
This section explores the cost calculations associated with using 5 and 6 scrapers, emphasizing productivity and production cost dynamics.
The section discusses the implications of using 5 versus 6 scrapers in terms of production efficiency and cost per bank cubic meter. It highlights key calculations for estimating productivity and unit costs associated with both scenarios, concluding that using 6 scrapers yields higher productivity but comes at a higher cost.
This section focuses on the cost implications and productivity analysis when utilizing scrapers in construction operations. Initially, the scenario of using 5 scrapers is explored, which leads to an imbalance where scrapers are more critical than the pusher. The production is calculated using a specific formula involving the number of scrapers, the volume per load, and cycle time, resulting in a productivity of 636.89 bank cubic meters per hour.
The text then shifts to analyzing the case with 6 scrapers, where the balance shifts, and the pusher becomes the critical element controlling production. A different formula for estimating production is employed that involves the cycle time of the pusher, yielding a higher productivity of 723.36 bank cubic meters per hour. Comparisons between the unit production costs for both scenarios are made, indicating that while 6 scrapers provide better productivity, cost considerations favor the deployment of 5 scrapers due to a lower cost per bank meter cube (₹44.12 vs ₹45.07).
Ultimately, the section stresses the importance of balancing productivity and cost in decision-making regarding equipment deployment in construction operations.