This paper introduces the use of axiomatic design in the design of manufacturing systems. The two primary functional requirements of any manufacturing system are developed. These functional requirements are then used to analyze the design of four manufacturing systems in terms of system performance.The purpose of this work is to provide a new foundation for describing, determining, and rationalizing the design of any new manufacturing system. / Lean Aerospace Initiative

The objective of this work is to study, functional metrics (FMs) in Axiomatic Design (Suh 1990), their relationship to each other within the functional domain, and understand ways in which they add value to the design process and the design solution, as well as variables that influence that value

Thesis (Ph. D.)--University of Texas at Austin, 2001. / Vita. Includes bibliographical references (leaves 276-286). Available also in a digital version from Dissertation Abstracts.

Zugl.: Ilmenau, Techn. Univ., Diss., 2009 u.d.T.: Fiege, René: Analyse des Beitrages von Axiomtic Design zur Modellierung serviceorientierter Architekturen

We study quasi superharmonic functions in Brelot spaces and the relationship between a reduced function, and harmonic and Jensen measures. We introduce the concept of quasi multiply superharmonic functions on a product of two Brelot spaces and study their properties. A main result obtained is characterizing the quasi superharmonic functions in terms of harmonic, finely harmonic and Jensen measures. Then we prove that a quasi multiply superharmonic function on a product of Brelot spaces equals its lower semicontinuous regularization out side of a 2-negligible set. Further we give a sufficient condition on a Brelot space O under which O becomes an extension space for superharmonic functions. As a result we characterize the extreme Jensen measures in such spaces. Finally we study extreme Jensen measures relative to several classes of multiply superharmonic functions.

Thesis (Ph. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains vi, 72 p. Includes abstract. Includes bibliographical references (p. 69-72).

Boston University. University Professors Program Senior theses. / PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you. / 2031-01-02

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In recent years there has been great concern over what many are calling the “tuition bubble� in American higher education. Baumol and Bowen, in 1966, observed that personally delivered services, like a professor teaching in a university, are difficult to scale, which causes a continuing and compounded rise in real cost. Additionally, universities, in competing for students, tend to invest in expensive assets. The resulting cost of the education and the amount of student debt threatens to rise beyond the intrinsic economic value of a US college degree, especially in the face of equivalent substitutes. The overall objective of this research is not only to analyze but also to design, or re-design, some of the essential aspects of engineering education systems. A new design is proposed using principles from manufacturing, industrial engineering and axiomatic design. The proposed system is able to operate at lower costs while producing high-caliber engineers. The approach presented relies on the decomposition of the functional elements of engineering education as well as defining a quantum of learning as an inventory unit. Methods used include a value-added analysis, and value stream mapping, computer simulation and financial analysis. The results show that the net present value (NPV) for the student increases over the interval from [t start to t graduation] as the time to employment post gradation decreases for a given discount rate. This is due to receiving employment income sooner during the cash flow. Engineering schools might benefit economically from reduced costs and higher tuition revenue resulting from greater system capacity.

Traditionally in the Architectural / Engineering / Construction industry, the design and construction phases are conducted by multiple professional and trade disciplines having minimum interaction among them along a rather sequential process. These parties bring their different objectives to the project that are not necessarily aligned with the overall project objectives. Design professionals do not necessarily work together giving little or no consideration for the requirements or constraints of subsequent functions such as construction and operation and maintenance of the facility. Design documentation that communicates the design intent to the builder, contains errors and inconsistencies, are incomplete or are simply difficult to read. This results in poor designs that have to be changed or modified during the construction phase and even during the long-term facility operation, thus increasing total cost and time of execution. It has been established that the decisions made at early stages of the design process have the highest impact on the project lifecycle cost and facility performance. For that reason, new project delivery systems, software tools and lean principles have emerged in the industry enhancing collaboration among project participants and reducing the existing gap between the design and construction phases. The increased use of Building Information Modeling (BIM) allows project participants to generate, manage and share information through a 3D digital model to better collaborate, communicate and understand the design intent. Still, design and construction professionals do not necessarily share their models and collaborate in an integrated fashion to accrue the benefits of an early involvement during design. This research uses the Axiomatic Design (AD) methodology to analyze some essential aspects of the design process to propose an improved process that seeks to produce better designs by adding value and reducing waste. 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. In AD, design principles or design Axioms govern the analysis and decision making process to develop high quality product or system designs. This research proposes an integrated, BIM-based design approach embracing compliance with the two AD axioms. Axiom one, the Independence axiom, seeks to maintain the design adjustable and controllable, and implements lean principles, BIM processes and tools following the concepts established by a BIM Project Execution Plan. Computer simulation techniques, the development of metrics and the calculation of Axiom two, the Information Axiom, are used to assess the benefits of an improved process.