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SPC Software – Statistical control of manufacturing processes
Monitor the quality level during the manufacturing process from the inspection plans, which consist of dimensional or attributive characteristics. QUASAR SPC makes control information available by batch in real time, provides a large statistical data capacity for a better knowledge of process indicators and a better reactivity to production hazards
Configure the characteristics to be inspected
Configure the inspection plans on :
- Attribute or Dimension characteristics,
- Sample size,
- Distribution, Type of applicable charts
- Data acquisition mode,
- Additional traceability criteria.
- Alerts management (quantities, frequencies…)
- Instruction sheets
- Drawings, diagrams
- Quantities to achieve
- Scrap rate
- Quantities / meters
- Compliance of grinding frequencies
- Estimated end date of WO
- Remaining quantity to produce
- Activation “blockage” output
- Flash alerts
- Bar graphs or tables display
Save production quality controls in real time
The inspection plan is started with a MO number or with the pair reference / machine.
The opening mode is done via :
- A unique number of the procedure
- A barcode reading,
- An external file,
- A choice from a list,
- Function keys,
- Curative or preventive management
- Manual entry or via connected instruments,
- Dynamic results and in real time,
- Colour code of the results status and real-time alerts,
- Bar graph or table display,
At each procedure launch or each entry, traceability information can be associated with the recorded measurements. This data can come from external files without operator intervention, be read via barcode or can be manually entered.
Control process variations with SPC control charts
The operator can visualize on their screen one or more several control charts (inertial chart, multi-cavity chart) so as to monitor the quality level of the production in real time.
The screen groups the measurement chart (average, median, individual values, EWMA, small series…) and the scatter plot (range, standard deviation, Cp or Cpk).
Assess the ability of the processes through capabilities
Based on an existing procedure, with entry of study measurements or from the data entered in the SPC workstation
- Procedure index
- Last set of limits
- Invalid points
- Characteristic values
- Centering / scattering indicators
- Sample distribution
- Control and test report
- List of controls performed for each of the characteristics
- Capability indicators
- Readings, sampling…
Edit/test the capability in different situations :
- Measurement variation
- Tolerance variation
- Incidence of nominal values
- Standards incidence
Ensure process traceability
To fulfill its primary function, the SPC QUASAR module collects data in large numbers. It is a recording software (measurements related to MO number traceability elements, material batch, workshop temperature…).
Toutes ces données sont en corrélation les unes avec les autres, ce qui permet de faire des exploitations très précises en croisant les différents critères.
WE KNOW ALL ABOUT SPC !
QUASAR SPC has been shaped with 30 years of use and development in various sectors.
Especially designed for industries focused on part monitoring, most of our references are in the parts subcontracting in large series field, particularly in the turning industry (comprehensive grinding profile integrated).
Control process variations with QUASAR
QUASAR SPC IN ACTION
DOWNLOAD THE BROCHURES QUASAR SPC
To go further
Towards Industry 4.0 !
Industry 4.0, factory of the future, smart factory… These terms have become central in the production environment. M.E.S. tools must help companies become smarter, more agile… Digital continuity, collaborative management…
The digital revolution that runs through the entire company highlights the value of data which is no longer stored for possible future justification needs. Today, this data is analyzed and enhanced throughout the production chain. It has become the vital energy of the integrated factory and the digital company.
Throughout the different industrial revolutions, man has always maintained a key role by continuously adapting to each period. This is still true within the factory 4.0 which marks a new industrial revolution