Do you know which part of the machine is most frequently cleaned without cleaning being planned? Or how many OEE percentage points you lose due to film tears? Who doesn’t know this: production documents with comments pile up but are not analyzed due to a lack of time. Text-AI makes the knowledge accessible that is buried in maintenance texts and downtime comments. Identify recurring, systematic problems described in the texts and find troubleshooting tips in your team’s maintenance history.
Texts and comments included in maintenance reports, downtime reasons, and shift logs have been hardly analyzed so far and were overlooked in the context of Industry 4.0 and digitalization. This is particularly frustrating as these texts contain valuable information about opportunities for improvement in the company. Thanks to sensors and Andon systems, the OEE is automatically calculated, and every micro-downtime is logged to the millisecond. But the downtime reason or the context of the problem is often hidden in the comments documenting the malfunction.
Up to now, you had to rely on the reports and experience of your production employees to find out more about downtimes. It is quite common that employees are asked to sort malfunctions by failure groups. But the failure groups are either too vague (mechanic, electric, shortage of material…) to derive specific conclusions, or too many of the malfunctions are assigned to unspecific groups such as “Other”.
Unspecific categories for downtimes are used too frequently to be able to draw conclusions from them. (Source: Peoplegeist)
The new mApp by Peoplegeist
Peoplegeist Text-AI is a new mApp made by Peoplegeist to solve this problem. The application is based on artificial intelligence (AI) and has been trained to read manufacturing subjects in order to understand your text comments from production. The mApp reads your texts, identifies the problems and their frequency, and lists the maintenance activities performed.
Would you like to know how many hours of downtime were caused by film tears? Which machine parts cause unplanned cleaning most frequently? When was the last time that you had “water in the air hose”?
Peoplegeist offers two modules to utilize the knowledge hidden in your documentation.
Automatic Pareto analysis to reduce recurring failures
Text-AI provides you with automatically created Pareto charts at the push of a button. Peoplegeist searches all your texts and lists the problems according to their frequency regardless of how they are phrased. As part of a continuous improvement process, you can reduce repeating problems and increase the mean time between failures (MTBF).
Identify failure patterns for each failure group and get information for the root cause analysis.
Find out if a problem is systematic and when exactly it has occurred in the past.
Detected failures are visualized on a timeline. (Source: Peoplegeist)
Shorten troubleshooting time by sharing knowledge:
If a problem has occurred before, no matter how long ago, Peoplegeist helps your team to find out what steps were taken to resolve the issue at the time.
A QR code on your machine helps employees access the Peoplegeist tool and search for known symptoms of the machine. They can also see which steps were most helpful in the past.
Troubleshooting experience of the colleagues can be shared among all employees without extra effort. Reduce the time you waste for troubleshooting and thus also your mean time to repair (MTTR)
This is particularly beneficial in the following cases:
- New/frequently changing employees
- Rare cases that only few employees are familiar with
- Knowledge can be shared with other sites and teams
mApp by Peoplegeist for MPDV’s MIP
With the Manufacturing Integration Platform (MIP), MPDV has had the forward-thinking vision of centrally saving all production data. As a result, this data can now be accessed by specialized tools such as Text-AI by Peoplegeist.
Peoplegeist Text-AI can be easily added as manufacturing app (mApp) to your MIP installation.
You can use the Peoplegeist solution to analyze any texts stored in the MIP. These texts can be machine maintenance texts, non-conformance reports / QA reports or logs from production. As long as the text is recorded in the MIP, the mApp Peoplegeist Text-AI can read and process it.
Find out more about Text-AI by Peoplegeist:
Would you like to find out about the potential hidden in your texts? We would be happy to generate a sample analysis with your data.
Contact MPDV or directly address Peoplegeist.