Axiomatic Design
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Axiomatic Design
Axiomatic design is a systems design methodology using matrix methods to systematically analyze the transformation of customer needs into functional requirements, design parameters, and process variables.*Suh (1990), ''The Principles of Design'', Oxford University Press, 1990, *Suh (2001). ''Axiomatic Design: Advances and Applications'', Oxford University Press, 2001, *Suh (2005). ''Complexity: Theory and Applications'', Oxford University Press, 2005, *El-Haik, ''Axiomatic Quality'', Wiley, 2005, *Stamatis, ''Six Sigma and Beyond: Design for Six Sigma, Volume VI'', CRC Press, 2002, Specifically, a set of functional requirements(FRs) are related to a set of design parameters (DPs) by a Design Matrix A: : \begin FR_1 \\ FR_2 \end = \begin A_ & A_ \\ A_ & A_ \end \begin DP_1 \\ DP_2 \end The method gets its name from its use of design principles or design Axioms (i.e., given without proof) governing the analysis and decision making process in developing high quality product or sy ...
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Systems Design
Systems design interfaces, and data for an electronic control system to satisfy specified requirements. System design could be seen as the application of system theory to product development. There is some overlap with the disciplines of system analysis, system architecture and system engineering. Overview If the broader topic of product development "blends the perspective of marketing, design, and manufacturing into a single approach to product development," then design is the act of taking the marketing information and creating the design of the product to be manufactured. Systems design is therefore the process of defining and developing systems to satisfy specified requirements of the user. The basic study of system design is the understanding of component parts and their subsequent interaction with one another. Physical design The physical design relates to the actual input and output processes of the system. This is explained in terms of how data is input into a system, ...
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Methodology
In its most common sense, methodology is the study of research methods. However, the term can also refer to the methods themselves or to the philosophical discussion of associated background assumptions. A method is a structured procedure for bringing about a certain goal. In the context of research, this goal is usually to discover new knowledge or to verify pre-existing knowledge claims. This normally involves various steps, like choosing a sample, collecting data from this sample, and interpreting this data. The study of methods involves a detailed description and analysis of these processes. It includes evaluative aspects by comparing different methods to assess their advantages and disadvantages relative to different research goals and situations. This way, a methodology can help make the research process efficient and reliable by guiding researchers on which method to employ at each step. These descriptions and evaluations of methods often depend on philosophical background ...
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Matrix Methods
The matrix method is a structural analysis method used as a fundamental principle in many applications in civil engineering. The method is carried out, using either a stiffness matrix or a flexibility matrix. See also * Direct stiffness method * Flexibility method In structural engineering, the flexibility method, also called the method of consistent deformations, is the traditional method for computing member forces and displacements in structural systems. Its modern version formulated in terms of the mem ... Structural analysis {{Civil-engineering-stub ...
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Axioms
An axiom, postulate, or assumption is a statement that is taken to be true, to serve as a premise or starting point for further reasoning and arguments. The word comes from the Ancient Greek word (), meaning 'that which is thought worthy or fit' or 'that which commends itself as evident'. The term has subtle differences in definition when used in the context of different fields of study. As defined in classic philosophy, an axiom is a statement that is so evident or well-established, that it is accepted without controversy or question. As used in modern logic, an axiom is a premise or starting point for reasoning. As used in mathematics, the term ''axiom'' is used in two related but distinguishable senses: "logical axioms" and "non-logical axioms". Logical axioms are usually statements that are taken to be true within the system of logic they define and are often shown in symbolic form (e.g., (''A'' and ''B'') implies ''A''), while non-logical axioms (e.g., ) are actually ...
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Decision Making Process
In psychology, decision-making (also spelled decision making and decisionmaking) is regarded as the cognitive process resulting in the selection of a belief or a course of action among several possible alternative options. It could be either rational or irrational. The decision-making process is a reasoning process based on assumptions of values, preferences and beliefs of the decision-maker. Every decision-making process produces a final choice, which may or may not prompt action. Research about decision-making is also published under the label problem solving, particularly in European psychological research. Overview Decision-making can be regarded as a problem-solving activity yielding a solution deemed to be optimal, or at least satisfactory. It is therefore a process which can be more or less rational or irrational and can be based on explicit or tacit knowledge and beliefs. Tacit knowledge is often used to fill the gaps in complex decision-making processes. Usually, both of ...
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Taguchi Methods
Taguchi methods ( ja, タグチメソッド) are statistical methods, sometimes called robust design methods, developed by Genichi Taguchi to improve the quality of manufactured goods, and more recently also applied to engineering, biotechnology, marketing and advertising. Professional statisticians have welcomed the goals and improvements brought about by Taguchi methods, particularly by Taguchi's development of designs for studying variation, but have criticized the inefficiency of some of Taguchi's proposals. Taguchi's work includes three principal contributions to statistics: *A specific loss function *The philosophy of ''off-line quality control''; and *Innovations in the design of experiments. Loss functions Loss functions in the statistical theory Traditionally, statistical methods have relied on mean-unbiased estimators of treatment effects: Under the conditions of the Gauss–Markov theorem, least squares estimators have minimum variance among all mean-unbiased li ...
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Suh Nam Pyo
Suh Nam-pyo (born 22 April 1936) was the thirteenth president of KAIST from 2006 until 2013, succeeding Robert B. Laughlin and succeeded by Sung-Mo Kang. Personal life Suh was born in Korea on 22 April 1936. He emigrated to the U.S. in 1954 to join his father who was teaching at Harvard University. He completed his high school education at Browne & Nichols School before entering MIT as a freshman in 1955. He was naturalized in 1963 in Pittsburgh, Pennsylvania. Career Suh began his career at MIT in 1970, where he was the Ralph E. & Eloise F. Cross Professor, Director of the Park Center for Complex Systems (formerly the Manufacturing Institute), and the Head of the Department of Mechanical Engineering for ten years from 1991 to 2001. He was also the Founding Director of the MIT Laboratory for Manufacturing and Productivity (1977–1984), the Founder and Director of the MIT-Industry Polymer Processing Program (1973–1984), Head of the Mechanics and Material Division of the Mechan ...
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New Product Development
In business and engineering, new product development (NPD) covers the complete process of bringing a new product (business), product to market, renewing an existing product or introducing a product in a new market. A central aspect of NPD is product design, along with various business considerations. New product development is described broadly as the transformation of a market opportunity into a product available for sale. The products developed by an organisation provide the means for it to generate income. For many technology-intensive firms their approach is based on exploiting technological innovation in a rapidly changing market. The product can be tangible (something physical which one can touch) or intangible (like a service or user experience, experience), though sometimes services and other processes are distinguished from "products". NPD requires an understanding of customer needs and wants, the competitive environment, and the nature of the market. Cost, time, and qua ...
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Design For Six Sigma
Design for Six Sigma (DFSS) is an Engineering design process, business process management method related to traditional Six Sigma.Chowdhury, Subir (2002) Design for Six Sigma: The revolutionary process for achieving extraordinary profits, Prentice Hall, It is used in many industries, like finance, marketing, basic engineering, process industries, waste management, and electronics. It is based on the use of statistical tools like linear regression and enables empirical research similar to that performed in other fields, such as social science. While the tools and order used in Six Sigma require a process to be in place and functioning, DFSS has the objective of determining the needs of customers and the business, and driving those needs into the product solution so created. It is used for product or process ''design'' in contrast with process ''improvement''. Measurement is the most important part of most Six Sigma or DFSS tools, but whereas in Six Sigma measurements are made fro ...
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Axiomatic Product Development Lifecycle
Axiomatic Product Development Lifecycle (APDL) (also known as Transdisciplinary System Development Lifecycle (TSDL), and Transdisciplinary Product Development Lifecycle (TPDL) ) is a systems engineering product development model proposed by Bulent Gumus that extends the Axiomatic design (AD) method.Suh (1990). ''The Principles of Design'', Oxford University Press, 1990, APDL covers the whole product lifecycle including early factors that affect the entire cycle such as development testing, input constraints and system components. APDL provides an iterative and incremental way for a team of transdisciplinary members to approach holistic product development. A practical outcome includes capturing and managing product design knowledge. The APDL model addresses some weak patterns experienced in previous development models regarding quality of the design, requirements management, change management, project management, and communication between stakeholders. Practicing APDL may redu ...
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