Overview
DataLyzer® Spectrum is a comprehensive SPC software package designed to simplify the tasks of real-time data collection and charting. Its flexible setup and powerful functionality have made DataLyzer® a leader in the SPC software industry for nearly four decades.
Benefits
DataLyzer® SPC software has been designed with the many functions of manufacturing businesses in mind. DataLyzer® provides customers with the following benefits:
DataLyzer® Spectrum can be configured to your specific needs. Some examples of preference options are
Create variable and attribute control charts of all types with dozens of presentation and calculation preferences, reasonable limits, math functions that automatically derive subgroup data from previous data, attach work instructions and predefined out-of-control causes and actions, and freeform notes.
Charts can be set up with multiple traceability parameters. These parameters can be configured in multiple ways, such as: predefined list, values based on calendar, or even validation of data from third party software like SAP, or requiring password support as in FDA regulations. Optional traceability parameters examples are: operator name, shift name, batchnr, temperature and machine names.
One of the most popular features of DataLyzer® is the flexibility in data collection. Data can be collected manually or semi automatically using gage connections. The manual option allows data to be collected by part or by characteristic. Charts can be ordered or chained in a sequence and traceability parameters can be carried forward. Specific part-based charts can be sent to specific lines depending on the production setup. DataLyzer offers powerful solutions to integrate data entry in any user environment. It means customers can develop their own user interface or DataLyzer can develop specific user interfaces.
DataLyzer® Import Services can be automatically imported from databases, MES systems, OPC servers, Excel spread sheets, cameras, CMMs, text files, etc. Standard connectors are available to import data. The import can be configured based on import rules and can include email alerts, etc. It is even possible to automatically create the control charts based on the import.
A real-time dashboard can be configured for a single line, an entire plant or even multiple plants. Over 20 SPC statuses can be displayed for each chart, with ability to drill down to specific parts ad processes, control charts, histogram and subgroup data and traceability parameters. A special dashboard designer and dashboard viewer offers the option to create any report you like.
A standard set of 33 reports including control charts, histograms, bat charts, and Pareto charts that can be generated and filtered by date and traceability parameters. User-defined reports can be created using a vast set of statistics. These user-defined reports can also be configured to run at predefined time periods. In addition there is a separate dashboard module where any kind of dashboard can be created. See details
DataLyzer® COA module allows users to create their own certificates of analysis based on templates. The certificates can be designed using Excel templates and choosing the data to be inserted at placeholders from the Spectrum system. For more information download the COA brochure.
For more details on the SPC software please download the brochure.
The movie gives you a complete overview of the DataLyzer Spectrum SPC software.
The movie gives you a clear understanding of how DataLyzer solution can be used for an Automotive company.
The movie shows how DataLyzer is implemented in more than 80 Coca Cola plants world-wide.
How to integrate FMEA, Control Planning, SPC and CAPAThis white paper shows how you can really implement a working quality system where the techniques come together. |
SPC and SQC integratedThis white paper explains how you can combine SPC and SQC in an organization to get the best of both worlds. |
Integrating SPC and TPMThis white paper shows how you can integrate the two continuous improvement methods. |
APQP: Ballooning, Control Plan, SPCThis white paper shows how you can integrate the design results with the quality planning and the quality execution process. |
Process Capability IndicesThere is a lot of confusion about the use of Cp, Cpk, Pp, and Ppk. This white paper tries to remove some of the confusion and shows the power of using the indices Cp, Cpk, and Ppk simultaneously. |
Managing Control LimitsThis white paper describes how to set control limits during the implementation of SPC to make sure the organization can handle the number of out of controls. |
Recalculating the Control LimitsThis white paper recommends the use of two new indices to allow a quick and effective comparison between limits set historically and the current process. |
Using Control Charts for Quality ImprovementThis white paper shows how SPC (Control Charts) can be used as a tool to support process improvement. |
Importance of the Range ChartDuring SPC implementation, often too much emphasis is put on the use of the Average chart. This white paper explains mistakes made in this area and gives recommendations on how to prevent these mistakes. |
Parallel Processes and SPCThis white paper describes which issues are important when you implement SPC in processes where you have parallel subprocesses like multiple cavities, multiple lanes, etc. |
Tracking and TracingIn this white paper, it is explained how you can implement full tracking and tracing and how you can use DataLyzer to quickly analyze causes of variation. |
Reject reduction by analysis of process dataIn this white paper, we show how advanced analysis can be used to analyze data gathered by DataLyzer. |
CMM Data acquisition and Chart creationIn this white paper, we show how a CMM can be integrated into the SPC DataLyzer network. Defects prevention for the Aerospace industryIn this white paper, we shed some light how the Zero Defects approach is used more and more in the Aerospace supply chain and how DataLyzer can support with this implementation |
SPC software and Industry 4.0More and more companies are looking for an SPC software tool which fits in their Industry 4.0 approach. This whitepaper describes the criteria to take into account, when you are looking for an SPC software solution |
Big data, OEE and SPCIn this whitepaper we demonstrate a powerful real life example how to integrate Big data, OEE and SPC.
|
SPC in Crystalline PV module manufacturingIn this white paper, we explain how you can benefit from implementing DataLyzer Spectrum. Please send us a mail if you like to receive this white paper. |
For manufacuturing company managers and executives, access to process and production data is key to implementing continuous improvement programs and decision makings. But they invariably face challenges with data management and data aggregation for the following reasons:
A solution that meets the following requirements can be a valuable tool for managers and executives:
DataLyzer Import Services is designed to make data collection a smooth and uncomplicated and task. See the whitepapers for more information.
How to integrate FMEA, Control Planning, SPC and CAPAThis white paper shows how you can really implement a working quality system where the techniques come together. |
SPC and SQC integratedThis white paper explains how you can combine SPC and SQC in an organization to get the best of both worlds. |
Integrating SPC and TPMThis white paper shows how you can integrate the two continuous improvement methods. |
APQP: Ballooning, Control Plan, SPCThis white paper shows how you can integrate the design results with the quality planning and the quality execution process. |
Process Capability IndicesThere is a lot of confusion about the use of Cp, Cpk, Pp, and Ppk. This white paper tries to remove some of the confusion and shows the power of using the indices Cp, Cpk, and Ppk simultaneously. |
Managing Control LimitsThis white paper describes how to set control limits during the implementation of SPC to make sure the organization can handle the number of out of controls. |
Recalculating the Control LimitsThis white paper recommends the use of two new indices to allow a quick and effective comparison between limits set historically and the current process. |
Using Control Charts for Quality ImprovementThis white paper shows how SPC (Control Charts) can be used as a tool to support process improvement. |
Importance of the Range ChartDuring SPC implementation, often too much emphasis is put on the use of the Average chart. This white paper explains mistakes made in this area and gives recommendations on how to prevent these mistakes. |
Parallel Processes and SPCThis white paper describes which issues are important when you implement SPC in processes where you have parallel subprocesses like multiple cavities, multiple lanes, etc. |
Tracking and TracingIn this white paper, it is explained how you can implement full tracking and tracing and how you can use DataLyzer to quickly analyze causes of variation. |
Reject reduction by analysis of process dataIn this white paper, we show how advanced analysis can be used to analyze data gathered by DataLyzer. |
CMM Data acquisition and Chart creationIn this white paper, we show how a CMM can be integrated into the SPC DataLyzer network. Defects prevention for the Aerospace industryIn this white paper, we shed some light how the Zero Defects approach is used more and more in the Aerospace supply chain and how DataLyzer can support with this implementation |
SPC software and Industry 4.0More and more companies are looking for an SPC software tool which fits in their Industry 4.0 approach. This whitepaper describes the criteria to take into account, when you are looking for an SPC software solution |
Big data, OEE and SPCIn this whitepaper we demonstrate a powerful real life example how to integrate Big data, OEE and SPC.
|
SPC in Crystalline PV module manufacturingIn this white paper, we explain how you can benefit from implementing DataLyzer Spectrum. Please send us a mail if you like to receive this white paper. |
For manufacuturing company managers and executives, access to process and production data is key to implementing continuous improvement programs and decision makings. But they invariably face challenges with data management and data aggregation for the following reasons:
A solution that meets the following requirements can be a valuable tool for managers and executives:
DataLyzer Import Services is designed to make data collection a smooth and uncomplicated and task. See the whitepapers for more information.
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