Dinesh Verma

Fuzzy set based multi‐attribute conceptual design evaluation

Identification of a need or functional/performance deficiency initiates conceptual design. Methods such as Quality Function Deployment (QFD), Checklists and Taxonomies (CAT), and Input/Output Matrices (IOM) provide a framework for translating a need into specific qualitative and quantitative customer requirements. Design concepts and technical solutions are then generated to address these requirements. This paper represents an extension of ongoing research in the application of fuzzy set methods to evaluate design concepts. Since imprecision and vagueness characterize this nascent design phase, the QFD method and Pughs concept selection process are modified and extended with concepts from fuzzy set theory [Verma, 1994; Verma and Fabrycky, 1995]. This fuzzy set based extension provides a rigorous mechanism for dealing with imprecise requirements and priorities, as well as the subjective correlation between customer and design requirements. Furthermore, the approach presented herein is discussed from the perspective of invoking Taguchis loss function during design concept feasibility analysis within conceptual system design.

Systematically identifying system engineering practices and methods

Proper implementation of system engineering (SE) concepts and principles requires a breakdown of the overall SE process into specific activities and tasks. For maximum effectiveness, appropriate SE practices and methods should be identified, selected, adapted, and then applied in an integrated manner. A systematic approach to identify relevant practices and methods, as a function of the phase of the system design and development process, is developed. A brief survey of SE practices is included to illustrate the application of this approach.