Prompt Title: Calculating machine park availability.

Created 1 year ago
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Human: How to determine the Disponible time of a machine park that is expected to run, in the context of calculating Availability for the OEE?
ChatGPT:

Overall Equipment Effectiveness (OEE) is a widely used metric for measuring the performance of manufacturing processes. It takes into account three main factors: availability, performance, and quality. To calculate the Availability component of OEE, you need to determine the Disponible (Available) time of your machine park.

The Disponible time refers to the total amount of time during which the machines in a manufacturing facility are expected to be running, excluding scheduled downtime such as planned maintenance, breaks, or shift changes.

Here's how to determine the Disponible time for your machine park:

  1. Identify the total time period for which you want to calculate OEE (e.g., per shift, per day, per week, etc.).

  2. Identify all scheduled downtime events, such as planned maintenance, breaks, shift changes, or any other planned non-operational periods.

  3. Calculate the total scheduled downtime by summing up the duration of all the scheduled downtime events during the selected time period.

  4. Subtract the total scheduled downtime from the total time period to obtain the Disponible time.

For example, let's say you want to calculate the Disponible time for a machine park per 8-hour shift:

  1. Total time period (per shift): 8 hours (or 480 minutes)

  2. Scheduled downtime events:

    • Planned maintenance: 30 minutes
    • Lunch break: 30 minutes
    • Shift change: 10 minutes
  3. Total scheduled downtime: 30 + 30 + 10 = 70 minutes

  4. Disponible time: 480 minutes (total time period) - 70 minutes (total scheduled downtime) = 410 minutes

Now that you have the Disponible time, you can calculate the Availability component of OEE as follows:

Availability = (Actual Running Time / Disponible Time) x 100%

Remember to take into account any unplanned downtime (such as machine breakdowns, tooling changes, or other unexpected events) when calculating the actual running time.

Human: To determine the Disponible Time of the Machine Park, should I also consider the total available operating personal of the manufacturing floor? I consider, for example, if there isn't enough personal to cover the 100% of the Disponible Time, should I take this also in account? Or do you have to focus just on the Machine Park capacity?
ChatGPT:

While considering the Disponible Time of the Machine Park, the primary focus should be on the machine park capacity. The Availability component of the OEE calculation is intended to measure the equipment effectiveness, not the personnel availability. However, personnel availability can impact the overall efficiency of the manufacturing process.

If you want to account for personnel availability in your analysis, you can create a separate metric to measure the impact of personnel shortages on the overall efficiency of your manufacturing process. This can be done by adjusting the Disponible Time based on the percentage of available personnel during the period you're evaluating.

For example, let's assume that the Disponible Time calculated in the previous example is 410 minutes, and you have only 80% of the required personnel to cover the entire Disponible Time. In this case, you can adjust the Disponible Time as follows:

Adjusted Disponible Time = Disponible Time * Personnel Availability Adjusted Disponible Time = 410 minutes * 80% = 328 minutes

Now you can use the Adjusted Disponible Time to calculate the Availability component of the OEE. This will give you a more comprehensive understanding of how personnel shortages may be impacting your manufacturing process efficiency.

However, remember that adjusting the Disponible Time in this manner is not the standard approach for calculating the OEE, as it is primarily focused on equipment effectiveness. Combining personnel availability with equipment availability might dilute the original purpose of the OEE metric. It is advisable to keep them separate and analyze their respective impacts on the overall manufacturing process.

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Sebastian
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