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  1. Only showing results from tsapps.nist.gov

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  2. tsapps.nist.gov

    The focus in this chapter is to establish a knowledge-based decision model and framework for collaborative design. The organization of this chapter is as follows. Section 16.2 reviews the previous research related to design decision support and current status. Section 16.3 discusses the design decision support process and decision-based design.
  3. tsapps.nist.gov

    Knowledge intensive decision support for design processes is highlighted. Section 4 proposes a hybrid decision mode that integrates the compromise decision support problem model (cDSP) and the fuzzy synthetic decision model (FSD). Section 5 presents a knowledge supported decision agent within a multi-agent collaborative decision support framework.
  4. tsapps.nist.gov

    decision problems. The framework is illustrated with an application in concept evaluation and selection in product family design for mass customization. Keywords: design decision support, hybrid, decision model, collaborative decision-making mechanism, autonomous decision agent, and multi-agent framework * Corresponding author
    Author:XuanFang Zha, Ram D. Sriram, M Fernandez, F MistreePublished:2005
  5. tsapps.nist.gov

    A case study and the scenario of knowledge support for power supply product evaluation, selection, and customization are provided for illustration. Keywords: Product platform, product family design, customer-driven design, mass customization, design evaluation, multi-criteria decision-making, fuzzy clustering, fuzzy ranking, and knowledge support
  6. tsapps.nist.gov

    design process. The developed information and knowledge-modeling framework and prototype system can be used for platform product design knowledge capture, representation and management and offer on-line support for designers in the design process. The issues and requirements related to developing a knowledge-intensive support system for modular
    Author:XuanFang Zha, Ram D. SriramPublished:2006
  7. tsapps.nist.gov

    Knowledge-intensive support becomes more critical in the design process and has been recognized as a key solution towards future competitive advantages in product development. To improve the product family design for mass customization process, it is imperative to provide knowledge support and share design knowledge among distributed designers.
  8. tsapps.nist.gov

    methodology for knowledge engineering and management. 2.1 General Framework Development A framework provides "guidance and rules for structuring, classifying, and organizing architectures" [10] and necessary information on an abstraction of a system's components, its functions, scope, and guidelines to develop systems or standards. In
  9. tsapps.nist.gov

    Nov 2, 2023Those uncertainties can be due to the lack of knowledge (epistemic) or intrinsic randomness (aleatoric) [22]. MCDM includes scaling, normalization, weighting, and aggregation components for the final decision-making [23]. The following subsections will explain the information flows in DH-SM and its issues. 3.1 Cyber-Physical System
  10. tsapps.nist.gov

    knowledge be available to the decision maker to ensure the manufacturing system runs efficiently and effec-tively. This paper will present background information for managing and controlling decision making and technological innovation. We present a process definition for decision making that implements closed-loop diagnostic and prognostic ...
  11. tsapps.nist.gov

    and their potential for resolution are assessed. A decision is made whether to continue with the next iteration of the project or not ("go, no-go"). • Engineering - incorporating the latest constraints, refining the product design and imple-mentation. • Customer evaluation - assessing the results of engineering and reviewing new design ...

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