Digital Interfaces: The Key to Effective Decision-Making in Distributed Collaborative Design and Manufacturing

́ndez, Marco Gero Ferna; Rosen, David W.; Allen, Janet K.; Mistree, Farrokh

doi:10.1115/detc2002/cie-34466

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…Digital interfaces are modeled so that they take advantage of the declarative-procedural separation of information flows. Templates for digital interfaces capture dependencies between interacting decision-makers and associated design parameters, 31,32 as well as mappings and translations between various models, databases, etc. The resulting interaction protocols facilitate sharing critical information as required by underlying information flows.…”

Section: Templatesmentioning

confidence: 99%

Foundations for a Systems-Based Approach for Materials Design

Seepersad

Fernández

Panchal

et al. 2004

10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

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Establishing systems-based materials design methods is an important step towards enabling rapid, concurrent design of materials and products with the potential for significant technological innovations. Materials design involves tailoring material structures and processing paths to achieve properties and performance levels that are customized for a particular application. It is a complex, non-deterministic, multi-scale, multifunctional activity that requires multiple collaborating designers and distributed, heterogeneous computing resources. Accordingly, a systems-based design approach is required with which to manage information flows, embed performance-property-structure-processing relations, interrogate models, explore variability, and engage collaborative decision-support protocols. In this paper, we discuss some of the intellectual and computing foundations of our systemsbased approach for materials design. It has three primary facets: (1) a decision support framework for modeling and supporting a complex, collaborative design process, (2) robust design methods for modeling uncertainty and managing or minimizing its impact on design specifications, and (3) a computational infrastructure for integrating and sharing heterogeneous information and computing and software resources. Some of the key aspects of our approach are illustrated via design of multifunctional cellular materials for a structural heat exchanger application.

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Section: Templatesmentioning

confidence: 99%

Foundations for a Systems-Based Approach for Materials Design

Seepersad

Fernández

Panchal

et al. 2004

10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Self Cite

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“…The digital interface between the designer and the manufacturer denotes the information package that was transferred to the manufacturer (Fernandez et al , 2002). We experimented with STL files, CAD models, and design decision formulations with integrated CAD and FEA models as the digital interface.…”

Section: Introductionmentioning

confidence: 99%

The rapid tooling testbed: a distributed design‐for‐manufacturing system

Rosen

Chen²,

Sambu³

et al. 2003

Rapid Prototyping Journal

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A new design-for-manufacturing method, called the geometric tailoring (GT), and the associated digital interface concept have been developed that enable the design activities to be separated from the manufacturing activities. Conditions for the successful application of this method are investigated. The GT method is demonstrated for rapid prototyping and rapid tooling technologies, where prototype parts are required to match the production properties as closely as possible. This method is embodied in a system called the rapid tooling testbed (RTTB). Research work is presented on GT and the distributed computing environment underlying the RTTB. Examples are summarized from the usage of this method and testbed.

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“…analysis tasks that generate information for decisions [10][11][12][13]. Hence, the complexity of design processes is a result of interactions between decisions and the analysis tasks.…”

mentioning

confidence: 99%

Managing Design Process Complexity: A Value-of-Information Based Approach for Scale and Decision Decoupling

Panchal

Paredis

Allen

et al. 2007

Volume 6: 33rd Design Automation Conference, Parts a and B

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Design processes for multiscale, multifunctional systems are inherently complex due to the interactions between scales, functional requirements, and the resulting design decisions. While complex design processes that consider all interactions lead to better designs; simpler design processes where some interactions are ignored are faster and resource efficient. In order to determine the right level of simplification of design processes, designers are faced with the following questions: a) how should complex design-processes be simplified without affecting the resulting product performance? and b) how can designers quantify and evaluate the appropriateness of different design process alternatives? In this paper, the first question is addressed by introducing a method for determining the appropriate level of simplification of design processes — specifically through decoupling of scales and decisions in a multiscale problem. The method is based on three constructs: interaction patterns to model design processes, intervals to model uncertainty resulting from decoupling of scales and decisions, and value of information based metrics to measure the impact of simplification on the final design outcome. The second question is addressed by introducing a value-of-information based metric called improvement potential for quantifying the appropriateness of design process alternatives from the standpoint of product design requirements. The metric embodies quantitatively the potential for improvement in the achievement of product requirements by adding more information for design decision making. The method is illustrated via a datacenter cooling system design example.

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Digital Interfaces: The Key to Effective Decision-Making in Distributed Collaborative Design and Manufacturing

Cited by 8 publications

References 10 publications

Foundations for a Systems-Based Approach for Materials Design

Foundations for a Systems-Based Approach for Materials Design

The rapid tooling testbed: a distributed design‐for‐manufacturing system

Managing Design Process Complexity: A Value-of-Information Based Approach for Scale and Decision Decoupling

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