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Industry Day (Wednesday, March 20)

Software Sessions SPC - advanced on-line monitoring and graphics.

5-6 software sessions of 45-60 minutes are given on practical topics of using the related SPC software packages.


Package/ Company
Presenting Company
Oral Presentation
ProFicient SPC/ InfinityQS


Title: Requirements of an SPC System - shown alongside the example of InfinityQS
(Boris Kulig)
9:00am - 10:00am, KG III, HS 3044
LineWorks SPACE/ camLine


Title: Active quality management with LineWorks SPACE
(Steffen Meyer)
10:30am - 11:30am, KG III, HS 3044
statgraphics centurion/ StatPoint
DPC Title: Statgraphics Centurion
(Helga Meinhardt)

1:30pm - 2:30pm, KG III, HS 3044
Statistica Enterprise/ StatSoft StatSoft Title: Advanced process control with STATISTICA Enterprise
(Michael Busch)
3:00pm - 4:00pm, KG III, HS 3044
procella/ Q-DAS
Q-DAS Title: Standardization Aspects in the SPC Environment
(Michael Radeck)
4:30pm - 5:30pm, KG III, HS 3044


The topics to be addressed are:

  • real-time monitoring
  • interfaces
  • databases
  • data quality procedures
  • control charts features, handling and beyond
  • analysis capabilities
  • reporting





Requirements of an SPC System - shown alongside the example of InfinityQS

The requirements for any SPC system are briefly introduced and will be shown alongside a practical example using InfinityQS software.

- Flexible dataentry: We differentiate between manufacturing master data and measurements. Masterdata are e.g. specification limits or control limits which have to be entered only once and the measurements are compared to them. Measurement data might be entered manually or read directly from the gauge using an interface.

- Online reactions: on the basis of both data typs the SPC-systems takes "online" or realtime decisions and actions, e.g. corrective actions.

- Speed: SPC systems gather data from many positions across a company, which implies that it must be guaranteed that no value gets lost and that data will not accumulate somewhere without being processed. The system speed is a very critical parameter for many SPC implementations. Some key data and database systems, which fulfill different requirements, will be discussed.

- Data analysis: The typical analysis within SPC systems focuses on the recent or timewise actual data values. Thus it must be possible without complex IT knowledge to query these data and directly analyze them using statistical or graphical procedures. Any arbitrary data selection and/or stratification should also easily be possible, because this might limit the use of the data to support the continuous learning process.

- Data integrity: Editing and changing data is only possible when there is an audit trail.


Active quality management with LineWorks SPACE

The Advanced SPC and Quality Management System LineWorks SPACE is the backbone of modern high-tech mass production lines worldwide. Current conditions in manufacturing, such as limited resources, time pressure, high data volume and high product mix require automation of the QM decision-making chain - from data collection and evaluation to initiating corrective actions in the MES. Audits require traceability of all decisions. Engineers must be able to transfer the SPC methodology simply in their process environment

Based on the requirements of highly automated FABs their implementation is presented with LineWorks SPACE. Focus of the presentation is the area of Real-Time-SPC, the automated detection of process deviations and their treatment by OCAP workflows and Corrective Actions with feedback to MES and APC scenarios. An important factor for the acceptance of SPC systems is the easy maintainability with low resources. With more than 10,000 active rules or control charts, the automation of the SPC administration is required. SPACE offers features such as pre-run and automated calculation of control limits. This reduces the effort required to maintain the system in large production environments dramatically.

SPACE Examples are practically demonstrated.


Statgraphics Centurion

STATGRAPHICS Centurion is one of the few available statistical software applications that is flexible enough to provide entry-level access for virtually everyone within a company, while still ensuring that high-level statistical algorithms are available for addressing complex issues and calculations. It is a statistical software package that will serve a range of users from machine operators and shop floor supervisors to design and process engineers. Since its development in the early 1980s, STATGRAPHICS has concentrated on providing statistical tools that can be used both to design quality into products, and ensure that acceptable quality is maintained throughout the production process. This approach fits well with the broad Six Sigma mandate to develop an in-depth understanding of the philosophy as well as the theory, tactics, strategy, and application tools. STATGRAPHICS Centurion is designed for anyone who wishes to do serious data analysis without investing weeks learning how to use a statistical package. Everything is completely menu-driven, and there are tools such as the StatWizard and StatAdvisor to help you run the program most effectively. During the presentation we will address topics as data import, analysis capabilities, automatic run e.g. of control charts or reporting features.


Advanced process control with STATISTICA Enterprise

Modern statistical process control goes beyond the use of traditional univariate and multivariate control charts. STATISTICA Enterprise combines comprehensive graphic and statistical methods with an enterprise-wide infrastructure. This includes the integration with existing data sources as well as automated, server-driven identification and monitoring of process-relevant parameters. After a general description of the architecture of the software solution the lecture will give an example scenario with traditional control charts, and the use of modern data mining techniques for process monitoring where the traditional methods are not sufficient.


Standardization Aspects in the SPC Environment

1) Data format and data transfer

Due to a standardized data format it is much easier to record, save and transfer data. Important aspects are
- the integration of measuring instruments
- the automated process control by means of SPC systems
- a uniform data format for the exchange of data.

2) Standardized calculations of quality indicators lead to transparent production processes Global companies have their production sites in many different countries. The easy exchange of data and the reproducibility of evaluation results are of particular importance.
- Uniform evaluation methods due to a corporate evaluation strategy
- Operation and output of results in the respective national language
- Automated data processing by creating statistics, graphics and reports

3) Process improvement and Six Sigma offensives

Due to the standardized data format it is easy to isolate existing perturbations and to determine models describing the interaction between product characteristics and process parameters for processes with an optimization potential. This is e.g. based on graphical analyses and correlation methods, the analysis of variance and the regression analysis.
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