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ease 0 out of 5 stars
features 0 out of 5 stars
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Total 4 out of 5 stars
ease 4 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is QualityLine?

QualityLine provides sophisticated analytics software specifically designed for manufacturers in the electronics sector and EMS providers. This software aims to support teams in quality assurance, engineering, and operations by improving first-pass yield, identifying defects, and spotting potential production challenges before they become serious. The platform consolidates data from a wide range of sources, such as SMT machines, AOI, SPI, ICT, functional testing, repair workflows, MES, ERP systems, sensors, and manual entries. This holistic approach to data integration enables teams to assess performance indicators across various products, testing stations, production lines, and manufacturing facilities. Notable features include user-friendly dashboards, comprehensive root cause analysis, cross-correlation functionalities, anomaly detection, predictive analytics, and assessments of process capability. QualityLine utilizes proprietary algorithms to reveal the fundamental reasons behind yield losses, failures, and the necessity for rework. Additionally, it offers seamless integration with existing systems, with the QualityLine team assisting in data integration and analytics setup to ensure an efficient implementation. By harnessing these features, manufacturers can markedly improve their operational efficiency and enhance the quality of their products, ultimately leading to increased customer satisfaction and market competitiveness.

What is PARCview?

dataPARC serves as a user-friendly industrial data visualization and analytics toolkit aimed at process manufacturers who wish to enhance quality, boost yield, and streamline their operations. This platform enables users to gather, integrate, and scrutinize data from various sources within the plant using its robust process data analytics and visualization features. With dataPARC, users can tackle complex process and product quality challenges through intuitive yet effective trending and diagnostic analytics tools. Additionally, it allows for the creation of intricate dashboards and displays that facilitate process monitoring and the dissemination of production KPIs throughout the organization. By incorporating artificial intelligence (AI) and machine learning, dataPARC empowers users to foster ongoing improvements and elevate profit margins through predictive modeling, thereby ensuring that manufacturers stay competitive in an ever-evolving market. This comprehensive toolkit not only streamlines decision-making processes but also enhances operational efficiency across the board.

Media

Media

Integrations Supported

Integrations Supported

AVEVA Data Hub
AVEVA Historian
AVEVA PI System
Aspen InfoPlus
Canary Historian
FactoryTalk
FactoryTalk Analytics
FactoryTalk Historian
Ignition SCADA
Proficy HMI / SCADA
Proficy Historian
Proficy Smart Factory MES
RtDUET
Seeq
TrendMiner
Uptake
Visual KPI
dataPARC Historian

API Availability

API Availability

Has API

Pricing Information

Pricing is tailored to the project's data sources, production scale, analytics, integration work and support needs. Proposals scope implementation separately from ongoing service costs.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

QualityLine

Date Founded

2014

Company Location

Israel

Company Website

quality-line.com

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com/parcview/

Categories and Features

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Visualization

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