Six Sigma Fundamentals: A Complete Introduction to the System, Methods, and Tools
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As we have already said, the approach of DFSS is quite different from the DMAIC model. Therefore, the training is also different. Fundamental issues for this training are:
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Understand and employ the DCOV process.
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Define and select a six sigma project for design, or redesign, of goods or services.
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Correlate customer needs with the specific features of a product or service.
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Analyze the potential effect of failures on the selected design.
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Achieve robust design levels that will function over the environmental areas of use.
Generally, the training for DFSS is of five-day duration, and it provides an overview of the six sigma approach to planning and design. The DCOV strategy emphasizes design for manufacturability of goods and/or the repeatability of services. Each phase is discussed together with the methods and tools typically used. A typical roll out follows the following steps:
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Explain the roles and responsibilities of the black belt, DFSS engineer and green belts in the DFSS process.
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Identify the DFSS training sequence for those involved in DFSS process sequence.
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Explain the DFSS, DCOV model/process.
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Demonstrate how the assessment measures the DCOV process.
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Identify the selection criteria for design projects.
Typical overall objectives of DFSS training are to:
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Apply coaching tools to support the engineering processes for DFSS.
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Select the appropriate customer satisfaction variables.
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Explain a transfer function and the relationship to improving customer satisfaction.
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Select the appropriate tools for applying the DCOV process.
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Explain robustness improvement strategies that will improve customer satisfaction.
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Identify resources available for assistance.
Specific training objectives for each phase of the DCOV model are as follows:
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Define. To capture the voice of the customer, trainees must learn to:
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Establish the scope and goals of the project.
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Develop the six sigma project plan.
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Flow the macro process.
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Describe the DCOV process and its associated steps.
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Describe the relationship between DFSS activities and organizational timing.
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Describe the relationship between DFSS and six sigma processes.
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Establish balanced metrics.
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Establish critical to customer metrics.
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Characterize. Trainees learn about system design, including how to:
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Validate the measurement systems.
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Identify process options that will satisfy customer requirements.
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Identify weaknesses of the process actions.
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Develop and understand the cause and effect matrix.
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Employ statistics, experiments and observations to verify cause and effect.
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Apply functional structure methods for flowing CTS big Ys down to lower level technical metrics, the small ys.
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Determine critical little ys from list of technical metrics.
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Select the appropriate tools for evaluating and generating new design concepts.
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Explain evaluation criteria and assessment for this step.
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Characterize. Trainees learn about the functional mapping aspect of the DCOV model, including how to:
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Determine method for relating little ys to critical to quality (CTQ) design parameters.
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Describe how to flow little ys down to design parameters (xs) and noise factors (ns) using the transfer function.
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Determine critical xs and ns.
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Characterize robustness opportunities.
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Explain evaluation criteria and assessment for this step.
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Optimize. Design for robustness is the topic of training for this aspect of the DCOV model. Trainees learn how to:
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Characterize the present long time in service robustness for the product.
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Select methods for improving product and process robustness by further minimizing product sensitivity to manufacturing and usage conditions—as required.
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Explain the relationship of robustness and producibility.
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Identify the appropriate tools to use when designing to be insensitive to variation.
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Explain the process of robust assessment.
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Explain the function, criteria for selection as a tool and interpretation of outputs of parameter design, tolerance design, statistical tolerancing and analytical reliability and robustness.
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Explain the evaluation criteria and assessment for this step.
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Optimize. For the design for productivity function of the DCOV model, trainees must learn to:
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Select process and product characteristics that will meet customer requirements.
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Characterize capability and stability of present process.
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Minimize process sensitivity to product and manufacturing variations—as required.
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Explain the relationship of this step and the organization's milestone timing for product development as well as robustness.
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Explain the purpose and selection criteria for determining the appropriate tools to make the product insensitive to noise.
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Explain the purpose and selection criteria for each of the countermeasure tools as appropriate, including dynamic control plan, poka-yoke, sequence modeling and selective assembly.
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Explain the evaluation criteria and assessment for this step.
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Verify. The verify step in the DCOV model involves assessment and testing, and training therefore focuses on how to:
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Estimate sigma for process capability and product function at job one and over time.
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Explain the evaluation criteria incorporated in the assessment.
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Explain the use of the assessment in processing through the DFSS process.
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Identify tools for assessing actual performance, reliability and manufacturing capability.
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Explain what is meant by demonstrating customer correlated performance over time.
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Explain the relationship between establishment of a transfer function, ys, xs and ns, and the development and execution of a quality design and verification plan.
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Explain the evaluation criteria and assessment of this step.
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Verify that the design can satisfy customer requirements.
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Selected topics are covered in greater detail as needed. The typical content is:
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Why the DFSS approach is different.
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What does six sigma mean to a designer.
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Capability indices and their use.
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The DCOV strategy and when to apply it.
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How to define a six sigma project.
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Principles to apply in establishing metrics for a project.
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Correlating the voice of the customer with product features (QFD).
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The analysis phase and conceptual design.
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Concurrent design.
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Principles of experimentation.
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Statistical tolerancing.
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Concept of reliability.
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Decision matrices.
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Failure modes and effects analysis (FMEA).
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Fault trees.
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What constitutes an adequate pilot program.
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Planning for control.
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