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A short class with Sarah and her students. The other ways are under More.
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Today, we're diving into downtime costs. Can anyone tell me how we may calculate these costs based on equipment value?
Is it a percentage of the equipment cost? Like a fixed rate?
Exactly! For instance, if the equipment cost is 900 rupees per hour, at 3% downtime, that results in 27 rupees per hour. How much would that add up in a year if the machine operates for 2000 hours?
That's 54,000 rupees annually, right?
And if that percentage increases to 6% in the second year, the cost would jump to 1,08,000 rupees!
Good observations! Remember, downtime costs accumulate and create a significant financial burden over time, which we will track cumulatively. Let's keep this in mind as we proceed.
In summary, downtime impacts not just our operational expenses but needs to be tracked yearly for better cost management.
Next up is obsolescence. Can anyone describe what we mean by obsolescence in machinery?
It refers to the cost that comes from keeping older machines that can't perform as well as newer models.
Correct! Now, what happens to our obsolescence costs as a machine ages?
They increase because of wear and tear and rising maintenance costs!
Exactly! For instance, if a machine’s obsolescence factor is 0.05, that translates to an obsolescence cost of 45 rupees per hour. If we calculate for an entire year at 2000 hours, how much would that total?
That would be 90,000 rupees annually!
Great job! Remember, these costs add to our cumulative calculations, helping us decide when to replace old machines. Let's summarize: obsolescence costs rise with time and impact our overall machinery costs significantly.
To summarize, how do we determine the economic life of a machine?
It's the time when the cumulative costs are at their minimum, right?
Exactly! Initially, we see costs decrease, but they eventually rise due to increasing maintenance and obsolescence. What year do we typically recommend replacing a machine?
The 4th year, because that’s when costs are lowest!
So, if we keep it longer, we’ll see rising recurring costs with every hour!
Yes! Holding onto machinery after its economic life results in unavoidable financial loss. Always remember to evaluate both downtime and obsolescence to make informed decisions for operational efficiency.
In summary, determining the economic life is crucial for maintaining cost-effective operations, ensuring timely changes to avoid unnecessary expenses.
If a machine costs 900 rupees and experiences 3% downtime, the cost per hour is 27 rupees. Over a year with 2000 operating hours, the downtime cost totals 54,000 rupees.
In the second year, as downtime increases to 6%, the cost per hour jumps to 54 rupees, totaling 1,08,000 rupees for the year.
Don't let downtime costs unfurl, or it could make your budget whirl.
Once there was a machine that thought it was still young. But as years passed, the machine felt tired and costs started climbing. Those costs told a story—it was time for a newer, more nimble model!
D.O.C (Downtime, Obsolescence, Cost) to remember the key factors influencing economic life.
M.O.O. (Minimum Operating Ownership), to remind us of the goal to maintain operation with minimal costs.
Term
What is downtime cost?
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Term
What leads to obsolescence cost?
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This section discusses the various costs associated with machine downtime, depreciation, obsolescence, and how these affect the economic life of the machine.
The section explains how downtime costs accumulate annually, considering rates of obsolescence and the impact on productivity. It emphasizes calculating cumulative costs to determine the optimum replacement time for machinery, ultimately highlighting the economic life of machines and the need for timely replacements to minimize operational costs.
In this section, we explore the critical financial metrics for assessing the economic life of machinery, focusing on downtime costs, obsolescence, and the necessary calculations to arrive at optimal replacement strategies. The cost of downtime per hour is introduced, calculated as a percentage of equipment costs (3% initially, increasing to 6% in the second year), leading to cumulative annual costs that ultimately inform machinery life cycle decisions.
The explicitly outlined yearly costs illustrate how cumulative usage adds significant figures to downtime costs, making it evident that maintaining older machines leads to higher expenses.
Additionally, productivity loss due to machine downtime necessitates further financial outlays to restore original production rates, which is calculated through productivity adjusted cumulative downtime costs per hour.
The subsequent discussion on obsolescence costs underscores the impact of machine age on operational effectiveness, cost efficiency, and rising maintenance needs. Indeed, as competing models enter the market with enhanced features and lower costs, assessing obsolescence becomes crucial for operational success.
The section wraps up with a summary of how assessing these costs leads to understanding a machine's economic life—the period when owning and operating costs are minimal—culminating in the recommendation to replace machinery post the 4th year to optimize operational costs.