Measures of Functional Coupling in Design

Rinderle, James R.; Suh, Nam P.

doi:10.1115/1.3185846

Cited by 47 publications

(11 citation statements)

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“…3 a Annotated robot arm assembly CAD model, b robot with mechanical body components fabricated using 3D printing and assembled with electronics, electrical circuitry, and fasteners product itself and, therefore, downstream processes such as manufacturing. For these reasons, Rinderle and Suh (1982) identified a need for mappings between representations of a design in both functional and physical domains to help interpret functional couplings. In this study, we show how, by relating design requirements and a function structure to each other, the relationships needed to support design decisions become available.…”

Section: Collision Avoidance Robot: Change Managementmentioning

confidence: 99%

Sharing design definitions across product life cycles

et al. 2019

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The research reported in this paper explored the feasibility of embedding multiple design structures into design definitions with a view of sharing design definitions across product life cycles. Two separate case studies using (a) lattice theory and (b) a qualitative data analysis (QDA) software tool were used to illustrate the benefits of embedding. In the first case study, of a robotic arm assembly, lattices in the form of partially ordered sets are used to embed multiple design structures into a given design definition. A software prototype has been built that allows a design bill of materials (BoM) to be extracted from a STEP AP214 file and translated into a lattice that is visualized as a Hasse diagram. This lattice is a sub-lattice of a complete lattice that includes all possible BoM structures for the given collection of component parts in the assembly. New BoM design structures can be defined by selecting the required nodes in the complete lattice and alternative product definitions are then exported as new STEP files. The second case study introduces a collision avoidance robot with associated design structures. It is used to illustrate management of design information using a current technique, design structure matrix (DSM), and compared with how embedding using QDA has the potential to support the establishment of relationships between design structures. Results from these case studies demonstrate that it is feasible to use lattice theory as an underlying formalism and QDA as a means for sharing design definitions.

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Section: Collision Avoidance Robot: Change Managementmentioning

confidence: 99%

Sharing design definitions across product life cycles

et al. 2019

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“…It is reasonable to expect that certain dependencies will be stronger than others, or that certain transfers of information will be critical. A numerical DSM can depict the strength of dependency as well as other metrics such as task communication time, functional coupling (Rinderle and Suh 1982), physical adjacency, electrical or vibration characteristics, parameter sensitivity, historical variance of task results, certainty of planning estimates, or volume of information transfer . Different analytical models are required for each of these metrics but, overall, the numerical DSM enables a more sophisticated analysis of the design process.…”

Section: Dsm Analysismentioning

confidence: 99%

Homogeneous state-space representation of concurrent design

Ong¹,

Lee²,

Khoo³

2003

Journal of Engineering Design

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In engineering design, it is not uncommon for design tasks to iterate several times before the entire design process is completed; the greater the number of iteration, the longer the product development time and cost. This paper discusses how the state-space representation of concurrent, coupled design tasks may be employed to model, monitor and control the entire design process. A case study of a camera design, consisting of four coupled tasks and modelled by the state-space concept and by the work transformation matrix (WTM), is discussed. The state-space solutions were found to be very close to the WTM solutions. The computed eigenvectors were identical with each other. The eigenvectors of the state-space representation can be used as in the WTM to identify the 'controlling features', those elements of a coupled design problem that required the greatest number of iterations to reach a technical solution. The state-space concept can potentially minimize the duration of the entire design process even before the first design task begins. If it is applied early in design planning, tasks that require many iterations to complete can be identified and rectified. The state-space analysis also reveals the natural stability behaviour of the design iteration process for stability assessment, notably the response shape and rate of convergence of the tasks.

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“…By form, Kahn meant the essence created by a certain relationship of elements within the whole. Thus, in practical terms, a design problem is characterized in terms of a set of requirements (specifications, goals, and constraints) such that if an artifact or system satisfies the requirements and is implemented according to the proposed design, the design problem will be solved [93], [76], [111].…”

Section: Design Is a Transformation Between Descriptionsmentioning

confidence: 99%

The design process: properties, paradigms, and structure

Braha

Maimon

1997

IEEE Trans. Syst., Man, Cybern. A

104

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In this paper, we examine the logic and methodology of engineering design from the perspective of the philosophy of science. The fundamental characteristics of design problems and design processes are discussed and analyzed. These characteristics establish the framework within which different design paradigms are examined. Following the discussions on descriptive properties of design, and the prescriptive role of design paradigms, we advocate the plausible hypothesis that there is a direct resemblance between the structure of design processes and the problem solving of scientific communities. The scientific community metaphor has been useful in guiding the development of general purpose highly effective design process meta-tools [73], [125]. His research within engineering design focuses on developing methods to help the designer move from the conceptual phase to the realization of the physical device. To achieve this objective, he has developed the formal general design theory (FGDT), which is a mathematical theory of design. He has developed methods to solve routine design with group technology, genetic algorithms, and simulated annealing, to define computerized architecture, structure, and databases for the conceptual design process, and to develop a framework of logic decomposition and case-based reasoning methodology for mechanical design. He is also co-authoring, with O. Maimon, a book on the foundations of engineering design. Additional interests include real-time scheduling of flexible manufacturing systems, inventory management, risk and decision analyses, and group technology. His papers have been published in several journals, including the IEEE

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Measures of Functional Coupling in Design

Cited by 47 publications

References 0 publications

Sharing design definitions across product life cycles

Sharing design definitions across product life cycles

Homogeneous state-space representation of concurrent design

The design process: properties, paradigms, and structure

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