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Today we will calculate the downtime cost based on equipment costs. For instance, if we know our equipment costs 900 rupees per hour, what would you estimate a 3% downtime cost to be?
It would be 27 rupees per hour.
Correct! Now, if the machine operates for 2000 hours in a year, what would be the annual downtime cost?
That would be 54,000 rupees!
Great job! Remember, we can calculate these costs cumulatively each year to see the bigger picture of our equipment expenses.
Let's dive into cumulative costs. After the first year, we had a downtime cost of 54,000 rupees. If the second year sees a cost of 1,08,000 rupees, what would the cumulative cost be?
It would be 1,62,000 rupees!
Exactly! Each year, we need to keep adding these values to properly understand the increasing costs. This cumulative approach is crucial for budgeting.
Now, which of you can explain why downtime affects productivity and what actions might be required to recover?
Downtime means we're not producing anything! To recover, we need either more operating hours or extra machines.
Exactly! This increased cost means we need to calculate a productivity adjusted cumulative downtime cost. Can anyone provide an example?
Sure, if our productivity factor is 0.98, it means we need to adjust our costs accordingly to bring productivity back up.
Wonderful! Such adjustments illustrate the complexity of managing equipment costs.
We need to consider obsolescence. How would you go about calculating obsolescence costs based on equipment usage?
If our obsolescence factor for the second year is 0.05, we would multiply it by the equipment cost, right?
Exactly! What would that come out to?
That’s 45 rupees per hour.
Correct! And for the total annual cost, how would you compute this?
By multiplying it by 2000, which means 90,000 rupees for the year.
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The section discusses the methodology for determining downtime costs based on equipment operation hours and obsolescence factors. It emphasizes the significance of cumulative costs over the lifespan of machinery, accounting for productivity impact and justifying the replacement of outdated equipment.
In this section, we explore the calculation of obsolescence costs associated with equipment depreciation over time. Initial calculations start with the downtime cost per hour, which is derived as a percentage of equipment cost. For example, if equipment costs 900 rupees per hour, then a 3% downtime rate leads to a cost of 27 rupees per hour.
As machines operate over specified hours annually (2000 hours/based on the first year), these individual downtime costs contribute to cumulative annual costs, which can escalate if not carefully monitored. For instance, in the first year, this amounts to 54,000 rupees, rising to 1,08,000 rupees in the second year with an increased downtime factor of 6%. This cumulative approach emphasizes the growing cost of maintaining older machinery.
However, beyond these costs, productivity loss is also addressed, indicating that downtime not only incurs direct costs but could also mean additional workforce or machinery needs to regain production efficiency. The obsolescence factor further complicates the calculation, as it reflects the lost value of a machine due to advancing technology and alternative models entering the market.
Annual obsolescence costs are calculated similarly, shown to increase incrementally each year. The importance of evaluating these cumulative costs helps organizations decide when to replace machinery to minimize overall financial impact, marking the 'economic life' of equipment and indicating the best time for a change in investment to newer technologies.
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The obsolescence factor is also calculated as a percentage of equipment cost. Equipment costs you know, approximately 900 rupees per hour. For the second year, obsolescence is 0.05, thus obsolescence cost per hour = 0.05 × 900 = 45 rupees.
To calculate obsolescence cost on an hourly basis, you take a percentage (obsolescence factor) and multiply it by the equipment's cost per hour. In this case, with an obsolescence factor of 0.05 (or 5%), the cost is 45 rupees per hour. This incremental cost reflects the inefficiency of using the aging machine compared to newer options that would work with higher productivity.
Imagine you own a vehicle that requires frequent repairs and consumes more fuel as it ages. If you liken each repair cost to obsolescence cost, you can see how the accumulated expenses can add up over time. Choosing a new vehicle that is more fuel-efficient and reliable could save you significant money in the long run.
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Now, yearly obsolescence costs for the second year = 45 × 2000 = 90,000 rupees.
To find the total annual obsolescence cost, multiply the hourly obsolescence cost by the number of operating hours in a year. In this scenario, if the obsolescence cost per hour is 45 rupees and the machine operates for 2000 hours a year, the total is calculated as 45 rupees/hour × 2000 hours = 90,000 rupees annually. This shows the economic impact of retaining old equipment over the operational period.
Suppose you take your aging car for repairs frequently, spending about 45 rupees each time, and you use it for 2000 hours a year. By the end of the year, the total repair costs (90,000 rupees) equate to the obsolescence costs associated with keeping that vehicle, revealing how retaining poor-performing assets can lead to ballooning expenses.
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Now, similarly, calculate the obsolescence cost for the third year. The obsolescence factor is 0.12. Obsolescence cost per hour = 0.12 × 900 = 108 rupees.
As machines age, their obsolescence cost often increases due to the deterioration in efficiency and an increase in the obsolescence factor. In the third year, the obsolescence factor rises to 0.12, culminating in an hourly cost of 108 rupees. This annual calculation continues in a similar pattern where you determine the cost per hour and multiply it by the usage hours to compute the yearly obsolescence cost.
If you think of your old car needing more frequent repairs and consuming more gas, the increased cost (108 rupees per hour) could equate to your mounting expenses. If you were to keep the car for yet another year, your total yearly costs would rise significantly, reflecting the economic burden of hanging on to an outdated asset instead of investing in a more efficient solution.
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Now find the yearly obsolescence cost for the third year: Obsolescence cost per third year = 108 × 2000 = 216,000 rupees.
Following the calculation method, the yearly obsolescence cost for the third year is determined by multiplying the hourly obsolescence cost (108 rupees/hour) by the number of hours the machine operates (2000 hours). This results in a total of 216,000 rupees. This total offers a clear picture of how keeping an old machine is increasingly costly as it depreciates over time.
Consider the total costs of maintaining that old car over three years. Just like how ongoing maintenance (216,000 rupees) accumulates, the obsolescence cost illustrates the escalating expenses of keeping an inefficient machine, reinforcing the importance of evaluating when to replace instead of merely repairing.
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You know the cumulative usages for every year it is 2000 hours. Now you can add it, then find the cumulative cost per hour. Cumulative cost per hour is going to be nothing but column 6 divided by column 7.
To arrive at the cumulative obsolescence cost per hour, you divide the total obsolescence costs by the cumulative number of hours the machine has operated. This brings to light the cost efficiency of retaining the machine as replacements become necessary. By tracking this over years, you understand how costs compound and shape overall profitability.
Think of it like tracking your car expenses. If you total up all your repairs and compare it with how often you’ve driven it, you can see if it's worth keeping that car. By calculating cumulative costs per usage hour, you can identify whether the savings of maintaining an old vehicle outweigh the benefits of purchasing a new, better-performing model.
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Now, the obsolescence costs are increasing over time. Similarly, your downtime cost also shows an upward trend. The economic life of the machine is determined by minimizing total costs.
Throughout this section, we've illustrated how obsolescence and downtime costs grow together with equipment aging. By closely monitoring these costs year after year, decision-makers can pinpoint the economic life of a machine, signaling when it's time to consider a replacement that offsets growing operational expenses.
Returning to the smartphone analogy, you may start experiencing slowdowns (downtime) and discover frequent software updates (obsolescence costs) bogging down performance. The idea is to preemptively decide to invest in a new smartphone, before costs of maintenance and inefficiency spiral, ensuring you stay on top of technology, ultimately improving overall effectiveness and productivity.
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Key Concepts
Downtime Cost: Importance of calculating costs for non-operation periods.
Cumulative Cost Analysis: Tracking costs over the operational life of equipment.
Obsolescence Cost: Evaluating financial losses associated with outdated equipment.
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Example of calculating the first-year downtime cost: 3% of 900 rupees results in a cost of 27 rupees.
In the second year, a risen downtime percentage leads to a cost of 108 rupees per hour at an increased obsolescence factor.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When machines break down and can't spin, remember costs pile up, where losses begin.
Imagine an old farmer with an ancient tractor. He keeps fixing it while better ones pass by. His costs are rising without gaining too much crop. He realizes it's time to invest in new.
D-O-W-N for downtime: D = Duration, O = Operational loss, W = Wasted resources, N = Need for change.
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Review the Definitions for terms.
Term: Downtime Cost
Definition:
Costs resulting from periods when equipment is non-operational.
Term: Cumulative Cost
Definition:
The total cost that accumulates over a duration of time.
Term: Obsolescence Cost
Definition:
Cost increases due to retaining outdated equipment that produces lower productivity.