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Today, we'll start with downtime costs. These costs are crucial to understand in equipment management! Can anyone tell me what the downtime cost per hour might be if the equipment cost is 900 rupees per hour?
Is it 27 rupees per hour?
Correct! It's 3% of 900, which gives us 27 rupees. Now, if my machine operates for 2000 hours in a year, can anyone calculate the yearly downtime cost?
I think it’s 54,000 rupees?
Yes! Great job. That's 27 multiplied by 2000. Knowing how to calculate these costs helps us manage machines effectively.
Continuing from our last discussion, how do we obtain the cumulative downtime costs over multiple years?
Do we simply add the yearly costs?
Exactly! If we consider the first year being 54,000 and the second year being 108,000, what would our cumulative be after two years?
That would make it 162,000 rupees!
Well done! Adding unnecessary costs like these shows us how to manage finances better in operational settings.
Now, let’s explore obsolescence costs. Can someone explain why this cost is essential in equipment management?
It affects the performance of older machines, which can result in higher operational costs?
Right! As equipment ages and we cling to them, we incur costs. For instance, how is the obsolescence cost calculated if it’s 5% in year two?
It would be 45 rupees per hour!
Precisely! And can we translate this to a yearly cost?
Yes, that would be 90,000 rupees!
Excellent! Understanding how obsolescence affects our costs is vital for maintaining operational efficiency.
Finally, let’s discuss the economic life of a machine. Does anyone remember what economic life refers to?
It's the period where the total costs for operating a machine are minimized, right?
Exactly! After this period, costs start to rise significantly. Can anyone illustrate why it’s key to replace machinery at this point?
A machine might not operate efficiently, leading to increased expenses!
Yes, so it’s crucial we analyze all costs to determine when to replace equipment effectively!
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In this section, we delve into the calculations of downtime and obsolescence costs over the years of machine operation. We examine how these factors influence overall productivity and highlight the significance of determining the economic life of a machine, which helps in deciding the optimum replacement time for equipment.
This section outlines the critical aspects of calculating downtime and obsolescence costs related to machinery in operation. It begins by establishing that downtime costs are derived as a percentage of equipment costs, where a 3% cost results in 27 rupees per hour, escalating to 54 rupees in subsequent years due to increasing downtime percentages (from 3% to 6%).
The section further highlights how yearly downtime costs can be accumulated over periods, leading to a cumulative downtime cost that assist in determining the cumulative cost per hour of operation.
Moreover, it addresses the loss of productivity, indicating how repairs lead to increased operational costs to regain productivity levels. This leads into adjusting cumulative downtime costs to account for productivity changes, further elaborating on equations that help synthesize these costs, e.g., productivity-adjusted cumulative costs are given by dividing the computed costs by the productivity factor.
Following this, obsolescence costs are discussed, noting that as machines age, they incur wear and tear leading to reduced productivity and increased repair costs. A systematic calculation of obsolescence costs for years one through three demonstrates how these factors accrue over time and impact decision-making in terms of equipment replacement.
The section culminates in explaining the economic life of a machine, characterized by the period during which costs are minimized before starting to increase due to maintenance and repair necessities. Thus, establishing the optimum replacement time for a machine is depicted as critical for efficient equipment management, emphasizing the necessity to consider all associated costs to determine the ideal point for replacement.
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So, downtime cost per hour equal to 3% of your equipment cost. Equipment cost is nothing but 900 rupees per hour.
Downtime cost per hour = 3 / 100 × (900) = 27 rupees per hour
Your machine is going to operate in a year for 2000 hours. So, what is your yearly downtime cost? Yearly downtime costs for the first year is,
Downtime cost per year = 27 × 2000 = 54,000 rupees.
In this chunk, we calculate the downtime cost associated with a piece of equipment. Downtime cost is defined as the loss incurred when the equipment is not operational. The first step is to determine the cost of downtime per hour, which is calculated as a percentage (3%) of the equipment's hourly cost (900 rupees). This gives us a downtime cost of 27 rupees per hour. To find the total downtime cost for a year, we multiply the hourly downtime cost by the total operational hours in a year (2000 hours), resulting in a total of 54,000 rupees for the year.
Imagine you have a vending machine that earns you 900 rupees every hour it operates. If it breaks down for 3 hours, that's 3% of your income lost per hour. So, you lose 27 rupees per hour due to that downtime. If the vending machine is inactive for a whole year but operates for 2000 hours, you'd lose 54,000 rupees overall. This is similar to losing earnings during repairs in any business.
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Similarly, calculate the downtime costs for the second year, in which the downtime percentage is 6%. So, downtime cost is 6% of your equipment cost, which results in:
Downtime cost per hour = 6 / 100 × (900) = 54 rupees per hour.
Downtime cost per year = 54 × 2000 = 1,08,000 rupees.
In this part, we assess the downtime costs for the second year. As the downtime increases to 6%, we first recalculate the downtime cost per hour using the updated percentage applied to the equipment's hourly cost (900 rupees), leading to 54 rupees per hour. Next, to compute the total downtime cost for the year, we multiply this hourly rate by the full operation time of 2000 hours, resulting in an annual downtime cost of 1,08,000 rupees.
Consider the same vending machine scenario, where now we've found that it breaks down more often, leading to a 6% downtime over the year. Instead of earning 27 rupees for every hour it’s working, now it earns 54. If it only worked for 2000 hours, your losses could rise to 1,08,000 rupees. Think of it as a restaurant that starts needing repair work more frequently due to age, increasing their non-functioning hours and corresponding losses.
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So, now you find the cumulative downtime cost by adding it.
Cumulative cost, end of the first year = 54,000
Cumulative cost, end of the second year = 54,000 + 1,08,000 = 1,62,000 rupees.
This section discusses how to compute the cumulative downtime costs over multiple years. To do this, you begin with the downtime cost from the first year and then add the downtime cost from subsequent years. After the second year, the cumulative cost adds up, totaling 1,62,000 rupees at the end of year two by combining the previous year's cumulative cost and the new year's downtime costs.
Think of it like keeping track of expenses in a personal budget over two years. If you spent 54,000 rupees in the first year due to your vending machine downtime, and then 1,08,000 rupees in the second year, your cumulative spending for both years would be the total of these two amounts combined. It's akin to tracking cumulative debt — each year's losses add to the previous total.
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Now, you have to account for the loss in productivity, which increases downtime costs. Loss of productivity results in additional costs because the machine has spent time in repairs.
Here, we examine the impact of lost productivity on overall costs. When a machine is down for repairs, it doesn’t only incur direct downtime costs but also leads to an indirect loss in productivity. This is because the project may fall behind schedule, leading to additional expenses to meet deadlines, such as engaging more workers or machines.
Consider a factory where machines are supposed to run continuously to meet customer orders. If a machine breaks down, not only do they incur repair costs, but they might need to hire extra shifts or even rent additional machines to keep up with production, leading to unanticipated higher costs. It’s similar to a chef scrambling for extra help if their main stove goes out.
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So, this is how we estimate the economic life of the machine. We have optimized the productivity with respect to cost. If you are going to hold onto the machine for more years, beyond the optimum replacement point, the losses per hour are reflected in the total operational costs.
In the concluding part, the discussion shifts towards how to assess the optimal time to replace a machine. By considering all accrued costs, including downtime, productivity loss, and obsolescence, businesses are encouraged to identify the point at which maintaining a machine becomes more costly than replacing it. Continuing to use the equipment beyond its economic life leads to higher costs each hour of operation.
Think of it like driving an older car that frequently breaks down. While it may seem cheaper to hold on to it, the ongoing repair costs and time lost from being unable to drive can outweigh the price of investing in a newer, more reliable vehicle. The goal is to find that sweet spot where owning and operating your equipment costs the least.
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Key Concepts
Downtime Cost: The cost for machines being non-operational, calculated from their costs.
Obsolescence Cost: Costs involved due to older machinery losing value.
Economic Life: Duration where operation cost per hour is lowest prior to increase.
Cumulative Cost: Total costs accumulated over multiple operational years.
Productivity Adjustment: Factor affecting overall cost due to change in productivity levels.
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Example of calculating the downtime cost: A machine costing 900 rupees per hour has a downtime cost of 27 rupees per hour.
Example of obsolescence cost: An older machine incurs an increase of 5% out of its value every year, adding to its operational cost.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
For downtime a cost, don’t get lost, just count your hours and pay no extra cost.
Imagine a factory where machines grow old, each year they rattle and don’t run bold. Replacing them quickly could save a dime, a wise choice indeed to avoid wasted time.
D.O.E - Downtime, Obsolescence, Economic life, remind us of key factors affecting machinery costs!
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Review the Definitions for terms.
Term: Downtime Cost
Definition:
The cost incurred when a machine is not operational, calculated as a percentage of equipment cost.
Term: Obsolescence Cost
Definition:
The lost value or increased expense of retaining an older machine due to its decreased productivity compared to newer models.
Term: Economic Life
Definition:
The period during which the cost of operating a machine per hour is minimized before increasing due to factors like maintenance.
Term: Cumulative Cost
Definition:
The total cost incurred over time, accounting for yearly expenses accumulated throughout the life of the machine.
Term: Productivity Adjustment
Definition:
An adjustment made to account for changes in efficiency due to machine downtime, affecting overall operating costs.