Business Strategy and Operations
Six Sigma Black Belt - Design for Six Sigma Black Belt
Many defects can actually be created during the design process, which sometimes requires a redesign of some or all of the processes. This process of redesign is called Design for Six Sigma (DFSS). DFSS is a rigorous
approach to designing products and services as well as enabling processes from the very beginning to ensure that they produce Six Sigma-quality products and services that meet customer expectations. Our Design for
Six Sigma curriculum consists of 11 hours of training.
Six Sigma is a registered Trademark of Motorola Corporation, and all right, title, and interest in Six Sigma belongs to Motorola.
Target Audience:
Candidates for black belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a
Six Sigma proposal; and organizations implementing a Six Sigma project.
Curriculum Includes:
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Six Sigma Black Belt - Design for Six Sigma Black Belt Training Curriculum Online
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sk6sigdfss
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$189.00
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Quality Function Deployment (QFD)
Imagine designing products that assure customer satisfaction and value the first time, every time. Design for Six Sigma (DFSS) is a methodology in product design that depends on having a clear understanding of
required process capabilities. These capabilities and their interactions need to be understood statistically and must focus on meeting customer specifications. DFSS is used to design or redesign a product or
service from the ground up. By identifying potential issues in the customer domain, DFSS allows organizations to better understand the Voice of the Customer (VOC) and the customer's application of a
product or process. It uses Quality Function Deployment (QFD), a systematic process for motivating a business to focus on its customers, to ensure that business functions are focused on achieving a common
goal of customer satisfaction. The set of tools and techniques that QFD provides can be used to ensure that the VOC is captured. Through consistently understanding what the customer wants, the company can
build a structure that is referred to commonly as the House of Quality. This sets down the details covering customer requirements, design considerations, and design alternatives in a three-dimensional matrix, which
is used to assign weighted scores based on customer needs. These form the basis of future product and service development. Identified customer requirements are turned into designs, technical characteristics,
and specifications in the engineering or process domain and these are used to build and deliver a quality product or service.
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Robust Design and Process
The goal of robust design is to provide a more efficient, cost-effective means of improving a product or process. Designed to ensure consistent, high-level performance in line with strict customer requirements,
the robust design methodology relies on an organized framework of experimentation and analysis to develop a product or process. This approach to engineering and design results in reduced product and process
variability, so that the product or process under development is minimally impacted by use-conditions and other uncontrollable factors. By deploying a variety of strategies to reduce sensitivity to the noise factors
that degrade performance, it also ensures maximum robustness. In this way, robust design facilitates the development of products and processes that achieve the required level of performance at the minimum
expenditure, in the shortest timeframe, and under a wide range of use-conditions.
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Failure Mode and Effect Analysis
Customers are increasingly raising the demand for higher quality products, which places added pressure on
companies to deliver product capability and functionality while trying to maintain the quality and reliability of
these products. In the past, reliability was achieved through extensive testing but often this testing was done in the late stages of development. Using the Failure Mode and Effect Analysis (FMEA) methodology,
companies can increase the scope for quality and reliability early in the development cycle. The FMEA helps keep products that fail to meet form, fit, or function requirements, from reaching the customer by
helping to identify potential failures and recommending corrective action for fixing these failures or reducing their potential occurrence. This course examines possible applications of an FMEA and looks at how the
FMEA process works. It also discusses the use of ranking scales for a DFMEA, and explains the differences between a Design FMEA and a Process FMEA.
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Design for X (DFX)
Successful organizations, in both the manufacturing and service sectors, are becoming more customer focused. New products and services to meet the existing and future needs of customers are being
introduced. In the continued quest for superior products and services, there is a drive to reduce cycle time and times to market while reacting faster to market and technology changes. A number of approaches have
been adopted to increase the efficiency of the product-development process. These approaches have
become known cumulatively as "design for X" (DFX), where "X" denotes any key elements that are related
to product development - manufacturing, production, cost, assembly, or recycling. Although DFX focuses on manufacturing, its related concepts and tools may also be applied to service organizations. This course
introduces the concept of DFX, its evolution as a mature approach, its classification, and best practices. It explores design for manufacturing (DFM) and design for assembly (DFA) and provides an overview of a
number of other common DFXs. It also examines the basic rationale behind them and their application strategies.
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Special Design Tools
Creative solutions to problems are easily recognizable, after they have been created. But how does one arrive at the solution in the first place? This course examines how TRIZ and axiomatic design have been
developed to aid design decision making and related problem solving. It looks at the work of Genrich Altshuller, an engineer born in the former Soviet Union in 1926, who worked in the Soviet Navy as a patent
expert in the 1940s. Altshuller's curiosity about problem solving led him to discover that over 90% of the problems engineers faced had been solved somewhere before. If engineers could follow a path to an ideal
solution, starting with the lowest level - their personal knowledge and experience - when working their way to higher levels, most of the solutions could be derived from knowledge already present in the company or
industry, or in another industry. Altshuller distilled the problems, contradictions, and solutions in these patents into a theory of inventive problem solving which he named the theory of inventive problem solving
(TRIZ). Axiomatic design is a general methodology that helps designers to structure and understand design problems, thereby facilitating the synthesis and analysis of suitable design requirements, solutions, and
processes. This approach also provides a consistent framework from which the metrics of design alternatives can be quantified.
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