Real-Time SPC

Real-Time SPC monitors manufacturing process quality live with control charts, capability analysis, dashboards and alerts so quality teams can act on variation as it happens.

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Overview

Real-Time SPC turns centralized quality data into live control charts and dashboards: variables charts (I-MR, Xbar-R, Xbar-S, I-MR-R/S, EWMA) and attribute charts (P, NP, Laney P', C, U, Laney U'). Nelson rules flag out-of-control points, specification limit violations and action limit violations, and teams are notified by email or text. Operators, supervisors, engineers and administrators use portals with assigned access permissions. Autoconfigure reads a process spreadsheet to create and update stations, inspections, specifications, data flows, control charts and dashboards. The service runs in a browser (Chrome or Chromium Edge) and requires an internet connection.
More product details

Who it is for

Industries
  • Manufacturing

Product

Solution Kind
Application

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Before you choose

Working without a connection

  • An internet connection is required to use Real-Time SPC.

Features

Statistical Process Control

Variables control charts: I-MR, Xbar-R, Xbar-S, I-MR-R/S, EWMA

Attribute control charts: P, NP, Laney P', C, U, Laney U'

More details & conditions: Statistical Process Control

Relevant Nelson rules on all charts

Capability analysis and dashboards

Quality Control

Alert by email or text on out-of-control process, specification limit violation, action limit violation and station shutdown

Capability analysis and Process Quality Snapshot dashboards

Data Management

Blend centralized quality data for monitoring

Autoconfigure creates and updates stations, inspections, specifications, data flows, control charts and dashboards from a process spreadsheet

Data Entry

Collect process data through operator and supervisor portals for users with assigned access permissions

Defect Tracking

Track defects and defectives with P, NP, Laney P', C, U and Laney U' attribute control charts

Rank causes with Pareto charts

Trend Analysis

Monitor live process data on control charts and flag out-of-control points with Nelson rules

Statistical Analysis

Run normal and non-normal capability analysis

Create Pareto charts

Workflow details

Methods
  • Name
    Variables control charts (I-MR, Xbar-R, Xbar-S, I-MR-R/S, EWMA)
  • Name
    Attribute control charts (P, NP, Laney P', C, U, Laney U')
  • Name
    Normal and non-normal capability analysis
  • Name
    Pareto chart

Technical details

Deployment

Browser Support
  • Platform
    Google Chrome
  • Platform
    Chromium Edge
Client Channels
  • Browser
Delivery Models
  • Cloud (SaaS)
Offline Scope
  • None

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