Improving Logistics and Mobile Equipment Maintenance with Key Performance Indicators

Question:

Hello gentlemen, I have some inquiries about incorporating Key Performance Indicators (KPIs) into logistics and maintenance of mobile equipment. Specifically, I have the following questions: 1. How can we calculate the downtime of standby equipment? 2. The replacement of a truck has led to confusion in Mean Time To Repair (MTTR), Mean Time Between Failures (MTBF), and availability metrics. How can we address this? 3. Does anyone have an example Excel spreadsheet of KPIs including standby equipment that they could share in a downloadable Zip file? 4. Should the unit of measure be in moment or hour for these metrics? Best regards, Haytham Taha Performance Analyst at a Cement Company

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Are you wondering what exactly constitutes a "moment" - is it a split second or a minute? If events are occurring so rapidly that measuring them in events per hour or events per day seems inadequate, how can we accurately gauge the speed at which they are happening?

In Eugene, it is acceptable to schedule events by the hour or day, but we always emphasize the importance of the "start moment." However, my primary focus is to provide an example in (.xls) format with a standby feature. Thank you.

Do you require a spreadsheet to determine Key Performance Indicators (KPIs) for a backup mobile apparatus?

Hey Josh, I'd like to use an example to illustrate a point (demonstrating standby calculation). I know we usually calculate downtime, but should we also factor in the standby replacement? Thanks for your response.

Hey Haytham, great questions. For downtime of standby equipment, you might want to factor in scheduled maintenance and unexpected failures, recording the length of time the equipment is not available to carry out operations. Regarding confusion with MTTR, MTBF, and availability metrics after replacing a truck, remember that equipment replacement should be treated as a new equipment when calculating these metrics, this avoids skewing of data. For a KPI Excel spreadsheet, unfortunately, I don't have one at hand, but I do suggest looking up templates online or professional tools which are tailored for logging such metrics. As for the unit of measure, it often depends on the nature of your operations - hours are typically used but your company's standard practice should be considered.

Hi Haytham, for your first inquiry, downtime of standby equipment can be calculated by measuring the total period the equipment is available but not utilised. For your second question, it sounds like the replacement truck is skewing your measurements. Try isolating the data for the new truck to get a more accurate MTTR, MTBF, and availability metrics. Unfortunately, I can't provide an Excel spreadsheet, but I suggest creating one with key columns such as equipment name, hours available, hours utilized, hours down for maintenance, etc. Lastly, I believe using hours as a unit of measure would serve best because it's an industry standard and provides a finer resolution for understanding performance. Hope that helps!

Hi Haytham, great questions! For calculating downtime, you can track the total time the equipment is unavailable for use and divide that by the total time it could have been used; including planned maintenance can give a clearer picture. Regarding MTTR and MTBF confusion after replacing a truck, it might help to maintain separate logs for the old and new equipment until you have enough data on the new one to get reliable averages. While I don’t have an Excel spreadsheet to share right now, you can create a basic one by listing each KPI along with their respective formulas. As for units of measure, I recommend using hours for consistency since it’s more commonly understood in the industry. Hope this helps!

Hi Haytham! It's great to see you diving deep into KPIs for logistics and maintenance. For calculating downtime of standby equipment, you might consider tracking the hours the equipment is not in use against its total available hours. Regarding the confusion with MTTR and MTBF after replacing a truck, I'd suggest establishing a baseline for the new vehicle and recalibrating your metrics to reflect the updated performance data – it might help to keep the previous truck's metrics separate until you have a consistent data set for the new one. I can’t share an Excel file, but there are quite a few templates online that include KPIs for standby equipment—just be sure to customize them for your specific needs. As for the units, I find that using hours generally provides a clearer picture, especially when comparing across different types of equipment. Hope this helps!

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Frequently Asked Questions (FAQ)

FAQ: FAQs:

Answer: 1. How can we calculate the downtime of standby equipment? - Downtime of standby equipment can be calculated by tracking the total time the equipment is not functioning or available for use. This includes both scheduled maintenance downtime and unplanned downtime due to breakdowns or failures.

FAQ: 2. The replacement of a truck has led to confusion in Mean Time To Repair (MTTR), Mean Time Between Failures (MTBF), and availability metrics. How can we address this?

Answer: - When replacing equipment, it is important to update the data used for calculating MTTR, MTBF, and availability metrics to reflect the new equipment. This may involve adjusting historical data and recalculating the metrics based on the performance of the new truck.

FAQ: 3. Does anyone have an example Excel spreadsheet of KPIs including standby equipment that they could share in a downloadable Zip file?

Answer: - Unfortunately, we cannot provide direct downloads, but you can create your own Excel spreadsheet to track KPIs for standby equipment. Include columns for relevant metrics such as downtime, availability, MTTR, and MTBF to monitor performance effectively.

FAQ: 4. Should the unit of measure be in moment or hour for these metrics?

Answer: - The unit of measure for KPI metrics like MTTR, MTBF, and availability is typically in hours to provide a standard and consistent measurement of time-related performance indicators. This allows for easier comparison and analysis across different equipment and time periods.

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