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TIG shopfloor

The TIG shopfloor app is part of the TIG authentig MES package and provides access to the main functions of the TIG authentig MONITORING module on the smartphone

The TIG shopfloor app is part of the TIG authentig MES package and provides access to the main functions of the TIG authentig MONITORING module on the smartphone

TIG shopfloor

by Technische Informationssysteme GmbH
TIG shopfloor
TIG shopfloor
TIG shopfloor

What is it about?

The TIG shopfloor app is part of the TIG authentig MES package and provides access to the main functions of the TIG authentig MONITORING module on the smartphone.

TIG shopfloor

App Details

Version
3.0.2
Rating
(1)
Size
79Mb
Genre
Productivity Utilities
Last updated
April 27, 2021
Release date
March 1, 2019
More info

App Screenshots

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App Store Description

The TIG shopfloor app is part of the TIG authentig MES package and provides access to the main functions of the TIG authentig MONITORING module on the smartphone.

•Summary of the overall state of the production (separated by production halls, machine groups or other self-defined filter, as required)

•Display of the current order at each individual machine including target quantity, production progress (good and bad quantities) and expected remaining time

•Display of device status, production status and downtime reason for each individual machine, including a comprehensive log of all production-relevant events such as order starts, status changes or production interruptions

•Display of utilization, cycle times (TARGET, CURRENT), cycle time deviation and quality rate including current OEE for each machine

The wealth of thoroughly prepared and clearly presented information makes the production completely transparent. Quantities produced, utilization, production speed and quality rate are immediately available for any resource group and for each individual machine. The TIG shopfloor app provides the production manager with a comprehensive, readily available insight into all production-relevant factors. By detecting problems at an early stage, quality- or downtime-related losses can be avoided, and the optimal use of all production resources can be ensured.

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