Process control and analytics

Q-DAS provides solution packages to improve manufacturing process and enables optimisation decisions.

Q-DAS solution packages

Quality as a success factor

Q-DAS solutions allows companies from a wide range of industries to increase their product and process quality. Get a better picture of our solutions and your possible fields of application.

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Providing a toolset of data management and statistical evaluation methods to suit manufacturers of all sizes and setups, Hexagon’s statistical process control (SPC) software and advanced manufacturing analytics solutions support quality assurance, capability evaluations and parameter-based process controls.

A monitor displaying Q-DAS software

Improve your manufacturing effectiveness

With our turnkey solution packages, you can immediately start to improve your process and make your optimisation decisions.  The Q-DAS solution packages are tailored to your specific requirements and can be supplemented or adapted at any time.

Our training courses are also tailored to the particular solution-package. All solutions build on each other.

The Analysis solution forms the basis for reliable results. The SPC solution clarifies why some processes cause problems. Thanks to the improved data quality, causes can be identified and feedback can be provided directly to production.

The Fully Integrated Solution rounds off the knowledge gained through automation, so that no weak point remains undetected and early intervention in the value chain is possible.

Start your SPC journey today!

Q-DAS Analysis Solution creates trust and transparency in industrial production. It delivers the pre-requisites for monitoring real-world production processes in the best possible way.

Q-DAS Analysis Solution provides the basis for quality monitoring in industrial production. The goal of this solution is to provide documents that confirm that products have been manufactured at the required level of quality.

With the Analysis Solution, users receive the results of test process investigations, machine acceptance and measurement system analyses in report form.

Persona
Quality Manager, Quality Engineer, Measurement equipment responsible.

Problem
Customers or auditors demand from Quality Managers evaluation results that conform to standards and company guidelines.

Solution
Integrated strategies automatically calculate the compliant results. The results can be easily generated using the existing measured values and presented in clear reports.

Value
Reliable results without discussion about the correct procedure. Knowledge about MSA, machine acceptance and process capability. Be compliant.

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Analysis process graphic

With Q-DAS Process Control Solution (SPC solution), users can increase quality, reduce costs and bring transparency to their processes.

Persona
Operators and Process Engineers.

Problem
Operators and Process Engineers struggle to detect in real-time when a process is becoming unstable or experiencing quality issues, hampering their ability to promptly take corrective actions. This challenge is compounded by the diverse types of gages used, leading to inefficiencies in identifying process deviations and potential compromises in product quality.

Solution
Q-DAS O-QIS (Operator Quality Information System) a gage and software agnostic real-time monitoring solution capable of collecting data from all types of gages. For automated gages, enable instant detection of deviations and alerts to operators and engineers. For manual gages, provide wired connections to central monitoring, guiding operators through measurement sequences and alerting to statistical alarms.

Value

  • Enhanced Quality Control
    Prompt detection of process deviations ensures the manufacturing process remains within control limits.
  • Gage and software agnostic
    Flexible, easy to use for the operator; guides the operator through the measurement sequenz (to minimize human error); Flexible in the wide range with statistical alarms, charts, data quality; ensuring result supervision.
  • Reduced Downtime
    Timely response to quality issues minimizes production disruptions and downtime.
  • Optimized Processes
    Access to real-time quality data facilitates process improvements, leading to increased yield and productivity, and improved product quality standards.

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SPC solution graphic

With Q-DAS Fully Integrated Solutions, users always have their finger on the pulse of quality because they always know about any kind of deviation.  The goal of this solution is to continuously and automatically monitor production processes and, in the event of deviations, to automatically generate and send reports.

Personas
Production Line Manager, Quality Manager, Quality Engineer, Management, Operations Manager, Process Engineer.

Problem
Issues in production processes are not recognised in good time. The consequences are higher scrap rates and rework.

Solution
Prompt information to the right employees in order to be able
to react quickly to problems. By using reports send by E-Mail no knowledge of statistics or handling of software is required.

Value
Reduced quality costs and scrap rates. Promt information to the right people.

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full integration graphic

The Feedback Solution enables the user to send automated tool correction values to the machine tool on the basis of measured values analysed with the integrated Q-DAS Statistics software. This correlation between tool data and measured values is an innovative basis for stable production processes.

Q-DAS offers two types of feedback solutions:

The Machine Tool Feedback Solution
combines tool information from the machine tool and the results from the product measurements.

The Dynamic Inspection
is a solution that helps customers reduce CMM inspection time in relation to the stability of their manufacturing process.

Problem
The Production Manager requires a solution to automatically feed back tool compensations to machine tools, ensuring process stability and reducing quality scrap rates. Concurrently, the Quality Manager aims to reduce measurement cycle time due to prolonged cycles compared to manufacturing processes, optimizing resource allocation. This inefficiency leads to resource waste and increased quality costs.

Solution

IMC (Intelligent Machine Control) an automated feedback solution that seamlessly adjusts tool compensations in real-time based on quality data, enhancing process stability and minimizing scrap rates while optimizing resource allocation for machine tools. Additionally, implement Dynamic Inspection that intelligently assesses statistical alarms and optimizes resource allocation. By measuring only during significant deviations and streamlining stable processes, this solution reduces measurement cycle time without compromising quality control

Value

  • Enhanced Process Stability
    Automatic tool compensation feedback ensures consistent quality and reduces the likelihood of process deviations.
  • Reduced Scrap Rates
    By addressing tool discrepancies promptly, the solution minimizes defects and waste, leading to lower scrap rates.
  • Optimized Resource Allocation
    The solution optimizes resource allocation for both machine tool feedback and measurement processes, maximizing efficiency and reducing costs.
  • Improved Efficiency
    Streamlining measurement processes enhances overall operational efficiency, enabling faster response to quality issues and greater productivity.

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Feedback process graphic

Integrated AI for advanced analysis and forecasting. Reduced quality issues, better resource allocation. Get alerts about predicted specification violations.

Problem
Quality/Process Engineers and Operators seek a solution to anticipate quality specification violations before they occur, enabling proactive planning of corrective actions. Currently, they lack foresight into potential quality issues, leading to reactive rather than proactive measures.

This results in increased quality costs, inefficient resource allocation, and challenges in planning process corrections or machinery maintenance, ultimately impacting timely delivery.

Solution
Q-DAS Quality Forecast solution empowered by Machine Learning (ML) to predict future quality outcomes based on historical data. This proactive tool equips Process Engineers and Operators with advanced insights, enabling them to anticipate where and when specification limits will be violated. By leveraging this foresight, they can plan and implement corrective actions in a timely manner, optimizing resource allocation and planning for process corrections or machinery maintenance.

Value

  • Proactive Quality Assurance
    Anticipating quality specification violations allows for proactive planning of corrective actions, minimizing the occurrence of defects and reducing quality costs.
  • Efficient Resource Allocation
    By knowing beforehand where and when quality issues may arise, resources can be allocated more efficiently, optimizing production processes and reducing waste.
  • Timely Planning
    Early detection of potential quality issues enables timely planning of process corrections or machinery maintenance, ensuring smooth operations and on-time delivery commitments are met.
  • Enhanced Operational Efficiency
    Leveraging ML-driven quality forecasts streamlines decision‑making processes, enabling Process Engineers and Operators to act swiftly and effectively, ultimately enhancing overall operational efficiency and competitiveness.

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predictive data displayed in a chart next to historic data

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