Amper Features

As reported in 17 Amper reviews. Monitor asset use across multiple locations and keep history.

Track asset reliability data such as downtime or idle time. This feature was mentioned in 17 Amper reviews.

Deliver dashboards that display KPIs and live data. 18 reviewers of Amper have provided feedback on this feature.

As reported in 18 Amper reviews. Analyze performance for individual assets, by category or location.

As reported in 10 Amper reviews. Include standard KPIs to monitor manufacturing quality

Based on 10 Amper reviews. Deliver real time data on manufacturing operations and processes

Based on 11 Amper reviews. Customizable dashboards display KPIs and metrics in real time

As reported in 10 Amper reviews. Consolidate manufacturing information from multiple sources

As reported in 10 Amper reviews. Structure data using hierarchies to make it easier to use and manage

Ability to trasnfer data between shop floor systems and software products This feature was mentioned in 10 Amper reviews.

As reported in 11 Amper reviews. Provide features for manual and automated data collection

As reported in 10 Amper reviews. Process manufacturing information to remove errors and duplicated data

Generate production schedules based on demand and inventory availability

Create work orders and dispatch them based on availability of personnel and work stations.

Deploy work orders on the shop floor to personnel and equipment.

Track the movement of raw materials and components between the warehouse and the shop floor.

Implement quality control checks to comply with industry standards and regulations.

Monitor work orders execution to identify non conformity with scheduling.

Analyze production operations to identify bottlenecks and opportunities for improvement.

Allow for bidirectional data transfers between the software and industrial equipment.

Manage documents related to production and quality such as engineering drawings.

Gather manufacturing data from multiple sources (software, equipment, and sensors).

Allow for bidirectional data transfers between the software and industrial equipment.

Integrate with other manufacturing solutions such as ERP, quality management and asset management.

Synchronize manufacturing data with IoT networks and devices.

Use machine learning to predict production output or equipment downtime.

Identify deviations from optimal performance and recommend corrective actions in real-time.

Generate intelligent production plans that can adapt to changes in real time.

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Anticipates needs and offers suggestions without prompting

Works across multiple software systems or databases