Overview and Benefits

Spectrum SPC software

 

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:

  • Minimal learning curve and easily understandable training.
  • Full and complex setup of a complete manufacturing plant in just a few days.
  • Efficient data collection from various data sources including full functionality in a DLL.
  • Programmable shop floor screens customized to the operators’ needs.
  • Quick and powerful analysis, reports and dashboards for managers and engineers.
  • Performance reports for top management to drive the improvement process both for quality and productivity improvement (OEE is fully integrated).
  • DataLyzer® is the only SPC supplier offering integrated FMEA, MSA, OEE, CAPA and SPC.
  • DataLyzer® supports 21 languages and offers customers access to locally based partners to help you implement the program in your language.

Features

  • System Preferences

DataLyzer® Spectrum can be configured to your specific needs. Some examples of preference options are

    • Control chart type
    • Selection of real-time analysis of statistics including all Western Electric, Wheeler and Nelson rules
    • All possible capability indices (Cp, Cpk, Cpr, Pp, Ppk, Ppr, NCP, NCpk, NCpr, PPM).
    • Email alerts can be configured for OOC, OOS, capability benchmarks or measurements not taken in time
    • Statistical distributions and normality tests
    • Multiple language selection of 21 languages: English, Spanish, Portuguese, French, German, Chinese, Traditional Chinese, Japanese, Dutch, Italian, Danish, Swedisch, Polish, Hungarian, Czech, Vietnamese, Russian, Turkish, Arabic, Thai and Hindi
  • Control Charts Setup

    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.

  • Traceability Parameters

    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.

  • Customizable Data collection Screens

    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.

  • Automatic Data collection

    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.

  • Drill down Dashboard

    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.

  • Extensive Reporting Options

    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.

  • Certificate of Analysis

    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 details please download the brochure.

Video Tour

DATALYZER SPECTRUM SPC SOFTWARE GUIDED TOUR

The movie gives you a complete overview of the DataLyzer Spectrum SPC software.


DataLyzer Solution Case Study Automotive

The movie gives you a clear understanding of how DataLyzer solution can be used for an Automotive company.

DATALYZER SOLUTION CASE STUDY COCA COLA

The movie shows how DataLyzer is implemented in more than 80 Coca Cola plants world-wide.

Whitepapers

Whitepapers

How to integrate FMEA, Control Planning, SPC and CAPA

This white paper shows how you can really implement a working quality system where the techniques come together.

SPC and SQC integrated

This white paper explains how you can combine SPC and SQC in an organization to get the best of both worlds.

Integrating SPC and TPM

This white paper shows how you can integrate the two continuous improvement methods.

APQP: Ballooning, Control Plan, SPC

This white paper shows how you can integrate the design results with the quality planning and the quality execution process.

Process Capability Indices

There 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 Limits

This 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 Limits

This 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 Improvement

This white paper shows how SPC (Control Charts) can be used as a tool to support process improvement.

Importance of the Range Chart

During 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 SPC

This 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 Tracing

In 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 data

In this white paper, we show how advanced analysis can be used to analyze data gathered by DataLyzer.

CMM Data acquisition and Chart creation

In this white paper, we show how a CMM can be integrated into the SPC DataLyzer network.

SPC in Crystalline PV module manufacturing

In 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.

 

Data Import & Harmonization

Data Aggregation and Harmonization

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:

  • Specific solutions are used to serve shop floor needs.
  • Machines or measuring systems come with their own data interfaces.
  • Sometimes technology incompatibility or prohibitively expensive programming from vendors makes data aggregation an unfinished job.

A solution that meets the following requirements can be a valuable tool for managers and executives:-

  • A central database where data can be stored in an open system like a SQL database, allowing maximum flexibility in making all kinds of analysis, reports and dashboards possible.
  • Design and structure the data according to your organization’s processes and products. Specific industries have additional requirements; such as food industry legal weight systems, FDA regulations in medical devices and pharmaceuticals and IATF 16949 in the automotive industry.
  • Ability to connect and collect data from heterogeneous sources like PLCs, CMMs, MODBUS, Excel, CSV files.
  • Option to import data from and export data to existing ERP or MES systems.
  • Provide an integrated solution for quality and productivity improvement using tools such as SPC and OEE.

DataLyzer Import Services is designed to make data collection a smooth and uncomplicated and task. See the whitepapers for more information.

Whitepapers

How to integrate FMEA, Control Planning, SPC and CAPA

This white paper shows how you can really implement a working quality system where the techniques come together.

SPC and SQC integrated

This white paper explains how you can combine SPC and SQC in an organization to get the best of both worlds.

Integrating SPC and TPM

This white paper shows how you can integrate the two continuous improvement methods.

APQP: Ballooning, Control Plan, SPC

This white paper shows how you can integrate the design results with the quality planning and the quality execution process.

Process Capability Indices

There 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 Limits

This 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 Limits

This 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 Improvement

This white paper shows how SPC (Control Charts) can be used as a tool to support process improvement.

Importance of the Range Chart

During 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 SPC

This 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 Tracing

In 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 data

In this white paper, we show how advanced analysis can be used to analyze data gathered by DataLyzer.

CMM Data acquisition and Chart creation

In this white paper, we show how a CMM can be integrated into the SPC DataLyzer network.

SPC in Crystalline PV module manufacturing

In 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.

 

Data Import & Harmonization

Data Aggregation and Harmonization

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:

  • Specific solutions are used to serve shop floor needs.
  • Machines or measuring systems come with their own data interfaces.
  • Sometimes technology incompatibility or prohibitively expensive programming from vendors makes data aggregation an unfinished job.

A solution that meets the following requirements can be a valuable tool for managers and executives:-

  • A central database where data can be stored in an open system like a SQL database, allowing maximum flexibility in making all kinds of analysis, reports and dashboards possible.
  • Design and structure the data according to your organization’s processes and products. Specific industries have additional requirements; such as food industry legal weight systems, FDA regulations in medical devices and pharmaceuticals and IATF 16949 in the automotive industry.
  • Ability to connect and collect data from heterogeneous sources like PLCs, CMMs, MODBUS, Excel, CSV files.
  • Option to import data from and export data to existing ERP or MES systems.
  • Provide an integrated solution for quality and productivity improvement using tools such as SPC and OEE.

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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