2.2. Cost Calculation for 6 Scrapers

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.

In this chunk, we compare two scenarios: using fewer scrapers (5) than needed and how this affects productivity. Here, if fewer scrapers are available, they become the limiting factor in production. The pusher, responsible for moving materials, will be ready but unable to work efficiently until the scrapers catch up. This situation illustrates that the scrapers' availability dictates how quickly work can be completed.

Imagine a team of workers where only a few have tools. The workers with tools can only complete tasks as quickly as their equipment allows. If more workers are ready to assist, but lack tools, they can’t help until more tools are available. This is similar to how the scrapers control the production rate.

So, now, let us see the productivity in 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. The production (Scraper controlling) = Efficiency × no. of scrapers × vol. per load / Cycle time of scraper.

Here, we calculate the productivity of using 5 scrapers based on their efficiency, number, and volume capability. Specifically, with a bowl volume of 19.82 bank cubic meters and cycle time in minutes, the efficiency of the scrapers plays a critical role in determining how fast they can move material. The total production rate is derived from how many scrapers are in use and their respective efficiencies.

Think of a carpool where each car represents a scraper. If each car can carry 5 passengers (volume), and only 2 cars are available (number of scrapers), the total number of passengers that can be transported per hour is limited by the number of cars and their efficiency (how fast they can make the trip).

If n is greater than the balanced 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.

When we increase the number of scrapers from 5 to 6, the initial roles reverse. Now, the scrapers are in excess, leading to the pusher being the limiting factor. While more scrapers can operate, their productivity is contingent on the pusher completing its tasks to keep pace, highlighting the balance needed in operations.

Imagine a restaurant kitchen where too many chefs (scrapers) are present, but only one server (pusher) is there to deliver food to tables. The extra chefs could prepare dishes faster; however, if the server can’t keep up, those dishes will pile up and the kitchen will not run efficiently.

So, in this case, how to estimate the production? Efficiency (min/hr) = volume per load / Cycle time of pusher. Therefore, the production will be the volume per load divided by the cycle time of the pusher multiplied by job efficiency.

The productivity calculation for 6 scrapers revolves around a similar formula used for 5 scrapers, with adjustments for the pusher's cycle time. Here, we see how changes to the equipment configurations affect overall productivity. Recognizing efficiency is key to optimizing outputs with available machinery.

Similar to a relay race, where each runner (scrapers) must pass the baton (load) to the next. If one runner slows down (pusher's cycle), it affects the entire team's speed. Increasing the number of runners can speed up the race, but only if they pass the baton efficiently.

Based on productivity if I select obviously I have to go for 6 number of scrapers per pusher, because 5 scrapers is giving you 636.89, 6 scrapers is giving you 723.36 bank cubic meters per hour.

Having compared the productivity rates, we find that using 6 scrapers offers a higher output. The text highlights that while price considerations are critical, productivity levels can dictate the decision-making. Businesses often need to choose between spending less or maximizing output within defined time constraints.

Consider a vending machine that can dispense drinks (scrapers) at a high rate. If it has more dispensers, demand can be met quicker even if it costs more to set up. Ultimately it’s about balancing costs with need for service speed.

Let us now estimate the cost. How to calculate the unit production cost? Total unit cost of production for combination = Cost of Pusher tractor with operator + Cost of scraper with operator × no. of scrapers / Job production.

This chunk focuses on defining how to compute the unit production cost by factoring in the costs associated with both scrapers and the pusher. It emphasizes the thorough consideration of operational expenses against anticipated productivity, a key aspect in determining the most cost-effective operational model.

Think of budgeting for a project. If you know your total expenses to complete a project (machinery costs), you can calculate how much each hour of work costs. Knowing the per-hour rate helps you decide whether to hire additional workers or invest in faster machinery to stay under budget.

So, if you are concerned more about your production cost only. In that case, most of the cases people are concerned only about minimizing the production cost. So, the combination of 5 scrapers and 1 pusher gives you the minimum unit production costs.

The conclusion drawn is that the organization must prioritize cost-efficiency when choosing the scraper configuration. The analysis shows that while 6 scrapers yield higher productivity, 5 scrapers offer a better cost-efficiency ratio, indicating the need to balance productivity with cost.

In grocery shopping, buying in bulk may seem appealing (like using more scrapers for production), but if per item prices are higher than those of single items, you lose out on savings. Carefully weighing pricing vs. quantity is essential in many purchasing decisions.

--