Predictive Maintenance

With predictive maintenance, factors such as machinery maintenance, part replacement, and lifespan are predicted.

Machine Control Panel

The control panel displays essential information about the machines, including hourly production counts, the number of jobs awaiting attention, daily production totals, and maintenance and replacement statuses.

Maintenance Schedule

The monthly maintenance schedule predicts the days for part replacements, maintenance, and material additions for the machines.

Users can drag and drop tasks to change them or add tasks to any day. Even if a user modifies the day, the predicted section will continue to appear on the calendar.

Indicators

Indicators are used to predict and plan information such as overtime and production quantities.

info@aistudio.com.tr
Office

Beştepe Mah. 31st Street No: 2/B Yenimahalle / Ankara
Kolektif House

Technopark

Gazi University Gölbaşı Campus, Bahçelievler Mah. 323/1 Street, Block C, No:10/50-C/168, Gazi Technopark Building 06830 Gölbaşı / Ankara

All Rights Reserved.

© AISTUDIO 2024

info@aistudio.com.tr
Office

Beştepe Mah. 31st No: 2/B Yenimahalle / Ankara
Kolektif House

Technopark

Gazi University Gölbaşı Campus, Bahçelievler Mah. 323/1 Street, Block C, No:10/50-C/168, Gazi Technopark Building 06830 Gölbaşı / Ankara

All Rights Reserved.

© AISTUDIO 2024

info@aistudio.com.tr
Office

Beştepe Mah. 31st No: 2/B Yenimahalle / Ankara
Kolektif House

Technopark

Gazi University Gölbaşı Campus, Bahçelievler Mah. 323/1 Street, Block C, No:10/50-C/168, Gazi Technopark Building 06830 Gölbaşı / Ankara

All Rights Reserved.

© AISTUDIO 2024

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