Design for Six Sigma

Design for Six Sigma ( DfSS ) is a method of quality management for robust, that is error-free products and processes.

DfSS is used for the design of or re- design of a product, process or service. The expected process Sigma level for a DfSS product or a corresponding process or service should be at least 4.5 sigma (corresponding to about 1 per mil = 1 error per 1000 possibilities ), but can also 6 Sigma ( 3.4 defects be even higher per 1 million opportunities ) or as needed.

A product or service with such a low error rate requires that the critical for the customer expectations and needs, called CTQs ( Critical To Quality ), must be fully understood before a product or service is completed and can be introduced.

Core processes in DfSS

In contrast to the Six Sigma DMAIC process core phases or steps for DfSS core processes are not universally recognized or defined, since almost every company or training organization would define DfSS different. This is partly because a company often introduces DfSS to adapt their business, industry and culture. Sometimes a version DfSS of a consulting firm, introduced to support the deployment of personnel. The DfSS is thus rather an approximation than a defined method.

DMADV

One popular method is the DfSS DMADV. The number of letters and phases, as well as the general feeling, the same as in the DMAIC stands remain. The five phases of the DMADV are defined as follows:

  • Define the project goals and customer needs ( internal and external)
  • Measure and set of customer needs and specifications
  • Analyze the process options to meet customer needs.
  • Design ( detailed) the process to achieve customer needs.
  • Verify Verify the design performance and ability to meet customer needs.

DMADOV

A variant of the DMADV methodology is DMADOV: Define, Measure, Analyze, Design, Optimize and Verify ( Verify). There are some other " types" of DfSS: DCCDI, IDOV and DMEDI. DCCDI is made ​​famous by Geoff Tennant and is defined as Define, Customer Concept ( Customer Concept ), design, implementation ( Implement ). There are many similarities between these phases, and those of the DMADV.

  • Define the project goals
  • Customer customer analysis is carried out,
  • Concept concept ideas are developed, reviewed and selected
  • Design is performed to satisfy the customer and business specifications
  • Implement introduction is implemented in order to develop the product / service and commercialize.

IDOV

IDOV is a known design method specifically in the manufacturing sector. The acronym is derived from IDOV Identify ( determine ), Design, Optimize and Validate ( Confirm).

  • Identify Identify customer needs and specifications (critical to quality " CTQ " s ),
  • Design translates the customer CTQs into functional needs and alternative solutions. A selection process selects the list of solutions to the "best" solution,
  • Optimize uses statistical tools and models to predict the performance or to calculate and optimize the design or performance
  • Validate confirming means to ensure that the design of which is developed reaches the customer CTQs.

ICRA

Since the cost of the DMAIC method are high, smaller companies can not benefit from Six Sigma mostly. This issue examines the ICRA generation method to circumvent III. The main idea of ICRA is the development of innovative ideas.

ICRA ( Innovate, Configure, Realize, Attenuate ) helps to think through questions of all kinds.

  • Innovate Innovations for Growth meeting - by recognizing value defined needs and options for change
  • Configure make targets - by measuring the current state and analyzes contributing factors to this condition
  • Realize increase realized - by certain specified actions and controlling input variables improved
  • Attenuate gaps diminish - by standardized success factors and integrates it learned

While ICRA is to generate innovative ideas, DMAIC is better suited for the robust implementation of innovative ideas.

Tools in DfSS

In DfSS are similar to the Six Sigma DMAIC project a variety of tools are used. These include tolerance analysis, tolerance design, House of Quality and Quality Function Deployment. Even at DfSS special design tools, CAD tools, and simulations such as Monte Carlo simulation in conjunction with statistical and non- statistical methods of calculation used. One possible method of calculation is not statistical in nature that can be used, for example ( in addition to the static analysis) for static problems would be the finite element method.

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