Quantified Closed Quality Control (QC)²

Quantified Closed Quality Control

(QC)²

Decisions From Top-Management to Shop-Floor are Based on an

Incomplete Set of Information

The majority of manufacturing companies is currently facing

global trends and inevitable consequences like individual and dynamic product demands, enhanced market transparency and legal restrictions

Especially SMEs can not expend to plan all probable states or to

invest in costly activities like fire fighting or specialized task forces OEMs use to bear the consequences of dynamics

SMEs essential benefit of quick and flexible reaction to individual

customer request is often outweighed by uncertain or fuzzy information due to losses throughout the own value or related supply chains

Mostly these information gaps appear where flows are not

shaped, slowed down or stopped as a result of unforeseen situations or unplanned activities

Additionally the customer is unwilling to pay for more than an

expected quality level. Hence in the product dimension a control of quality is rather be needed than a maximization

Initial Situation and Challenge

The operationalization of information flows not only regarding product but also process and system quality enable SMEs to close the aforementioned gaps and face global challenges lastingly

Data Distribution Quality Forward Chains

Field Data

Products

Quality Backward Chain

Q u a li ty S tr e a m Data Distribution Quality Forward Chains

Field Data

Products

Quality Backward Chain

Q u a li ty S tr e a m

Quality Control Loops are Suitable to Operationalize the Needed

Information Flows for Closing the Existing Gaps

Robust and quantifiable closed quality control loops allow

companies to identify, use and distribute needed information

Complex interactions in value chains can be modeled and

combined to closed quality control loops

Quality control loops describe the interaction of organization,

factors of production and information flows with the objective of “controlled quality” including effective and efficient processes and workflows

Quality is an adjustable value, which is embodied by various

parameters and needs to be determined from multiple

perspectives. The objective is not to maximize quality but to control it along the value chain

Independent technical control loops and organizational

continuous improvement processes are insufficient for the task of controlling quality

Hypothesis

A sufficient closed quality control loop structure needs to be designed from an organizational and an technical perspective w e z y x -w e z y x w e z y x

-The Design of a Quality Control Loop Structure for Manufacturing

Companies Needs Scientific and Industrial Expertise

Besides scientific research in the fields of production technology,

cybernetics and information management industrial expertise is needed

Focussed disciplines are e.g. quality management, production

systems, control loop theories and business information systems

Scientific and industrial quality control loops have to be

structured, classified and assessed in order to identify generic structures

Objective of the project is a set of blueprints for quality control

loops including generic reference, error, feedback and desired parameters as well as guidelines for company specific adaption

Project Approach

The holistic project approach is based on the scientific and industrial expertise of production technology, cybernetics and information technology

SME

SME SMESME SMESME

RWTH Aachen University Production Technology Project Coordination RWTH Aachen University Production Technology Project Coordination Research Partner A Cybernetics Research Partner A Cybernetics Research Partner B Information Technology Research Partner B Information Technology Collaborative Research

The Definition of Research Tasks is Derived from a Multi-Perspective

View on the Heuristic Framework

The scientific program is

based on the initial situation, the challenge and particularly the hypothesis

The three perspectives allow

a synthesized problem solving approach from different scientific domains

The heuristic framework

contains and describes fundamental aspects and concepts of the object domain

The view from the scientific

perspectives to the object domain deduces specific research task

Scientific Approach

The depicted scientific approach needs to be enlarged by validation in small and medium sized companies in order to guarantee the industrial relevance

Research task

Initial Situation, Challenge and Hypothesis

Heuristic framework Perspectives Information Technology Cybernetics Production Technology Management Systems

Value Chain Quality

Closed Control

Loops Software Information Application S c ie n tif ic P ro g ra m C o rn e t P ro je c t Q u a n tif ie d C lo s e d Q u a lit y C o n tr o l (Q C ²)

-Scientific definition of quality control loops

- Development of a modelling approach for quality control loops - Development of guidelines for the assessment

of stability and effectiveness of quality control loops

The Three Research Institutes Cooperate with SMEs to Synthesize

Scientific and Industrial Research Competences

Collaborative Approach

inductiv - Prototypical implementation and validation of

developed methods and tools

- Description of generic quality control structures and types

- Definition of SMEs requirements concerning the use of quality control loops

dedu_ctiv

Blueprints for Quality Control

Loops

& Cooperating Research Institutes

SMEs

from each

participating country

Research task

Initial Situation, Challenge and Hypothesis Initial Situation, Challenge and Hypothesis

Heuristic framework Perspectives Information Technology Cybernetics Production Technology Management Systems Value Chain Quality

Closed Control Loops SoftwareInformation

The Three Research Institutes Represent the Different Perspectives

Within the Proposed Research Project

Profile Research Partner A

– Expertise in control loop engineering and cybernetics

Project Role

– Representation of the systems control view into the project work

– Transfer of state of the art approaches of control loop engineering to engineering management problems

Profile Research Partner B – Expertise in information

management and the development of IT-systems Project Role

– Representation of the

information management view – Transfer of approaches, tools and methods from the field of information technology to the project RWTH Aachen University Production Technology Project Coordination

?

Profile Laboratory for Machine Tools and Production

Engineering WZL

– Expertise in production and quality management

Project Role

– Representing the production technology and integrating all views

– Project coordination and transfer of production research, methods

?

x y

Dipl.-Ing. Dipl.-Wirt. Ing. Patrick Beaujean

Department Quality Management

Chair of Metrology and Quality Management

Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Phone.: +49 (241) 80-26339

Fax: +49 (241) 80-22193

Contact

Dipl.-Ing. Christoph Hammers

Chair of Metrology and Quality Management

Laboratory for Machine Tools and Production Engineering WZL of RWTH Aachen University Phone.: +49 (241) 80-24178

Fax: +49 (241) 80-22193