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What is Pulsar?

Pulsar is a state-of-the-art platform designed for real-time machine monitoring and Overall Equipment Effectiveness (OEE), facilitating a cloud connection that offers manufacturers in-depth insights into their production floor operations, machinery condition, and efficiency levels. This innovative system allows users to detect issues, minimize downtime, and boost productivity without relying on manual logs or spreadsheets. It integrates industrial IoT sensors and hardware that can seamlessly connect to any machine, irrespective of its model, age, or type, and does so without requiring changes to existing PLCs. The data gathered encompasses crucial metrics such as availability, performance, speed, cycle counts, downtime causes, and production output, all of which are displayed on intuitive dashboards accessible from multiple devices. Pulsar’s software consistently tracks key manufacturing KPIs, including OEE, utilization, throughput, and quality, while also providing advanced real-time analytics and historical data reporting. Furthermore, the platform includes customizable alerts that can be transmitted via SMS, email, or shown on TV dashboards, in addition to a digital Andon system that enables teams to swiftly identify and tackle production issues as they emerge, thus promoting a more agile manufacturing environment. By harnessing this technology, manufacturers not only refine their operations but also cultivate a proactive culture centered around ongoing improvement and innovation in their processes. The integration of such advanced analytics equips teams with actionable insights, ultimately leading to enhanced decision-making and operational excellence.

What is ABB OEE Software?

A cutting-edge software solution aimed at unlocking hidden potential and motivating production teams to enhance equipment utilization, minimize downtime, and improve product quality. ABB’s OEE software enables clients to calculate and analyze Overall Equipment Effectiveness metrics in real-time by utilizing data sourced from their manufacturing operations. It cultivates a company culture where awareness of OEE is prevalent, fostering teamwork towards common production efficiency goals. This tool plays a crucial role in identifying areas that are primed for improvement, while focusing on actions that lead to operational enhancements. It effectively identifies and mitigates production bottlenecks, allowing for rapid interventions that can resolve issues before they escalate into larger problems. Furthermore, it aggregates historical data for thorough analysis and benchmarking and automates the assessment and prioritization of factors that lead to capacity loss, thus ensuring ongoing operational progress. This holistic methodology not only boosts immediate performance but also lays the groundwork for long-term sustainable growth, ensuring that organizations remain competitive in a dynamic market. Ultimately, the software serves as a catalyst for continuous improvement and innovation in production processes.

Media

Media

Integrations Supported

Integrations Supported

HPE OneView
Mainsail
MyEtherWallet (MEW)
Rayven

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Pulsar

Company Location

United States

Company Website

www.pulsarml.com

Company Facts

Organization Name

ABB

Date Founded

1988

Company Location

Switzerland

Company Website

new.abb.com/industrial-software/operational-excellence/mom-software-process-production-intelligence/overall-equipment-efficiency-oee

Categories and Features

OEE

Not specified

Categories and Features

OEE

Benchmarking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis

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