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Today, we're diving into how the number of scrapers you use affects production output. Can anyone tell me what happens when we use fewer scrapers than needed?
The scrapers would control the production because their availability impacts the workflow.
Exactly! When there are fewer scrapers, they dictate how fast the project can move forward. For example, if we consider five scrapers, we find the production is 636.89 bank cubic meters per hour. Why do you think knowing this number is important?
It helps in planning and estimating costs for the project.
Right! Let’s remember: fewer scrapers, sneaky control over production. I like to use the acronym SNEAKY: 'Scrapers Negotiate Every Activity Keeping Yielding.'
That's a good way to remember it!
Fantastic! Now, what happens when we have more scrapers than the balance number?
The pushers become critical, right? They control production then.
Spot on! So, we need a balance. Now, let's summarize: firing too few scrapers controls production, while too many pushers take over. What did we learn today?
Balancing scrapers and pushers is essential for efficient production.
Next, we will discuss how to estimate the costs involved with using scrapers. Why do you think calculating unit production cost is important?
It helps in budgeting and understanding the financial feasibility of a project.
Exactly! The unit cost can vary significantly depending on how many scrapers we use. If we calculate costs for both five and six scrapers, what findings do you recall?
Five scrapers produced a cost of ₹44.12 per bank cubic meter, while six scrapers had a higher cost of ₹45.07.
Right! Remember the phrase: 'Less is more; less scrapers, lower major costs.' What can we conclude?
We should aim for the option with lower costs while still meeting the production demands.
Yes, the balance is crucial for maximizing profit potential. Let's recap: using five scrapers generally minimizes costs while maximizing efficiency.
Lastly, let’s talk about the effective use of resources in scraper operations. If soil conditions are not ideal, what can we do first?
We should prepare the soil, like using a bulldozer with a ripper to loosen hard soil before loading.
Exactly! If we don't do that, the scraper might struggle. Anyone else has suggestions for optimal scraper use?
Loading downhill whenever possible can help too.
Great point, loading downhill reduces cycle time! What can we do to maintain the haul route?
Using graders to keep it smooth and avoid deep pits.
Exactly! Mmm... smooth hauling equals lower resistance. And remember, proper pusher-scraper sizing is critical, too. Let’s recap our key points: soil prep, optimal loading, and maintenance of haul routes. Does anyone have additional tips?
Maintain machinery to avoid breakdowns!
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The section discusses how the balance between the number of scrapers and pushers influences productivity. It highlights scenarios where scrapers are fewer than ideal or in sufficient quantity, detailing how this affects the control over production and unit costs.
This section addresses the economics surrounding the usage of scrapers in excavation operations, emphasizing how the number of scrapers impacts overall productivity and unit costs. Initially, with a lesser number of scrapers than required, production is largely controlled by scrapers since their availability dictates the workflow. For instance, having five scrapers leads to a production output of 636.89 bank cubic meters per hour. Conversely, when more scrapers (i.e., six) are deployed than the ideal balance, pushers become the critical factor controlling production. In this case, six scrapers produce a higher output of 723.36 bank cubic meters per hour.
Furthermore, the section illustrates how to calculate production costs associated with different numbers of scrapers. It discusses unit cost estimation, which varies according to productivity, with five scrapers yielding a lower cost per bank cubic meter than six scrapers, signaling the importance of finding an optimal balance to minimize production costs while maximizing output.
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Now let us consider the economics of going for 5 scrapers. So, 5 in the sense you are going to use lesser than what is needed, you are assuming 5 that means you are going to use the number of scrapers lesser than what is needed. So, when the number of scrapers are lesser than the balanced number so obviously scrapers are more critical, but a pusher will have the ideal time. Your pusher will wait for the scraper.
This section discusses the scenario where only 5 scrapers are used when more are needed. In this case, the scrapers are in short supply, leading to the scrapers becoming a critical factor in production. The pusher, a machine designed to help move the scraper, will end up waiting for the scraper to operate, resulting in underutilization of its capacity. Essentially, if there are not enough scrapers, the work will be limited by their availability, even though the pusher can operate efficiently.
Imagine a scenario in a bakery where there are only a few ovens (scrapers) available to bake bread (produce output). If a baker has more dough than they can bake at once, the bakers (pushers) waiting by the oven will have to wait for the oven to be free after each batch. This results in wasted time for the bakers, illustrating how critical the limited ovens are for the overall production process.
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So, here the scraper will be controlling the production as a scraper is a lesser in number, but the pusher will have the ideal time. So, now, let us see the productivity this case of n equal to 5 scrapers. How to estimate the production of this scraper? The volume of your bowl volume per load, you know the value of 19.82 bank cubic meter. Production (Scraper controlling) min Efficiency, hr = ×no. of scrapers ×vol. per load Cycle time of scraper, min 50 min/hr = ×5 ×19.82 bcm = 636.89 bcm/hr.
In this chunk, the focus is on estimating the production capacity when using 5 scrapers. The formula for calculating the production is based on the number of scrapers, the volume that each scraper can hold per load, and the cycle time for how long each scraper takes to complete a load. The calculation reveals that the productivity results in 636.89 bank cubic meters per hour. This means that with the available scrapers, this is the maximum output they can achieve given the current working conditions.
Think of this scenario like a small factory with only 5 machines to fill bottles. Each machine can fill one bottle with 19.82 liters in a set time. If they can only fill for 50 minutes every hour due to downtime, the calculations show that all machines together can produce 636.89 liters every hour. If the factory needs more production, it requires more machines to be efficient.
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If n is greater than the balance number that means you are going to use more number of scrapers, then what is indicated by the balance number. In this case, scrapers will have the ideal time. Scrapers are not critical. So, the scraper will be waiting for the pusher. Pusher is critical here. So, unless the pusher is available, I cannot complete the job. So, in this case pusher will be controlling the production.
Here, the document describes the scenario when more scrapers than needed are utilized. In such cases, the scrapers are not the limiting factor, and instead, the pusher becomes critical to production. If the pusher isn't available, the scrapers will idle and not be able to complete their tasks. It's crucial to have a balance of both machines to optimize production.
Imagine a restaurant with too many chefs (scrapers) and not enough waiters (pushers). If the chefs are busy preparing dishes but no waiters are available to deliver the food, the serving process slows down. Thus, while the chefs can cook quicker, the overall dining experience is hampered by the lack of waiters, just as scrapers need pushers to function effectively.
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Similarly, let us estimate for 6 number of scrapers. Production (Pusher controlling) = ×vol. per load Cycle time of pusher, min 50 min/hr = ×19.82 bcm = 723.36 bcm/hr.
This section calculates the production for 6 scrapers. The key point is that when the number of scrapers exceeds the balance number, the pusher’s cycle time and efficiency determine production capacity. With 6 scrapers, the production estimated is 723.36 bank cubic meters per hour, which indicates improved efficiency compared to using fewer scrapers.
Returning to our factory analogy, if you increase the number of machines from 5 to 6, your bottle-filling rate increases because there are enough workers to handle the output effectively. This ensures that all machines are fully utilized without bottlenecks, hence optimizing the overall production flow.
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In that case, people prefer to go for the combination which gives you higher productivity, but very often we see that people are more concerned about the cost only. So, people prefer for the combination which gives them minimum production cost.
The final part addresses the balance between productivity and cost. While higher productivity is desirable, many operators prioritize minimizing production costs when making decisions on the number of scrapers and pushers to employ. Evaluating the cost-benefit analysis of different combinations is crucial for achieving a balance that satisfies financial constraints while also meeting productivity needs.
Consider budgeting for a new project. While you may want the latest and most efficient equipment for the job (high productivity), constraints on spending might force you to select less expensive options that don’t perform as well. It's about striking the right balance to achieve desired outcomes without overspending.
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Key Concepts
Scraper-Pusher Balance: The importance of balancing the number of scrapers with pushers to optimize workflow.
Production Output: Understanding how the number of scrapers affects the production output measured in bank cubic meters.
Cost Efficiency: The relationship between the number of scrapers used and the overall production costs per unit.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example of using 5 scrapers producing 636.89 BCM/Hr and 6 scrapers producing 723.36 BCM/Hr.
Cost estimation where using 5 scrapers leads to a lower cost per bank cubic meter compared to using 6 scrapers.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
Five scrapers do the trick; watch production, don't let it stick.
Imagine a construction site where scrapers hang tight. When only a few are present, they control the workday light, but when many arrive, the pushers take the throne, leading the scrapers to idle their stones.
To keep costs low, remember the acronym SCORE (Scraper Count Reduces Expenses).
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Scraper
Definition:
A heavy-duty earthmoving equipment used for moving material over a short distance.
Term: Pusher
Definition:
A type of bulldozer used to push scrapers to maintain efficient loading.
Term: Bank Cubic Meter (BCM)
Definition:
A measure of volume for earth materials, representing the volume of material in its natural state.
Term: Cycle Time
Definition:
The total time required to perform a complete loading and hauling operation.
Term: Unit Cost
Definition:
The cost incurred to produce one unit of output, such as one bank cubic meter.