TY - GEN
T1 - Modular design of data-driven analytics models in smart-product development
AU - Li, Yunpeng
AU - Roy, Utpal
AU - Saltz, Jeffrey S.
N1 - Publisher Copyright:
Copyright © 2017 ASME.
PY - 2017
Y1 - 2017
N2 - Data-driven analytics models have been built as critical components of a smart product to enable product autonomy and intelligence. Due in part to the dynamic nature of the machinelearning algorithms used in data-driven analytics models, the configuration of a smart product is frequently refined, often in a real-time context. Hence, a smart product requires a continuous evolution of its architecture. This paper proposes a systematic method to facilitate the modularization of an analytics model architecture, so that a modular smart-product architecture can be achieved. Productizing an analytics model transforms conventional taskoriented data analytics activities into a data product development process. Issues related to the standardization of analytics models, the modular design approaches, the modularity quantification, and their impacts on the overall smart product design, are discussed. The proposed method is applied to an unmanned aircraft system (UAS) design so that a modular UAS architecture can be configured for various mission applications.
AB - Data-driven analytics models have been built as critical components of a smart product to enable product autonomy and intelligence. Due in part to the dynamic nature of the machinelearning algorithms used in data-driven analytics models, the configuration of a smart product is frequently refined, often in a real-time context. Hence, a smart product requires a continuous evolution of its architecture. This paper proposes a systematic method to facilitate the modularization of an analytics model architecture, so that a modular smart-product architecture can be achieved. Productizing an analytics model transforms conventional taskoriented data analytics activities into a data product development process. Issues related to the standardization of analytics models, the modular design approaches, the modularity quantification, and their impacts on the overall smart product design, are discussed. The proposed method is applied to an unmanned aircraft system (UAS) design so that a modular UAS architecture can be configured for various mission applications.
KW - Analytics model modularity
KW - Product autonomy
KW - Product intelligence
KW - Smart product development
KW - Unmanned aircraft systems
UR - http://www.scopus.com/inward/record.url?scp=85040944120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040944120&partnerID=8YFLogxK
U2 - 10.1115/IMECE2017-71597
DO - 10.1115/IMECE2017-71597
M3 - Conference contribution
AN - SCOPUS:85040944120
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Systems, Design, and Complexity
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2017 International Mechanical Engineering Congress and Exposition, IMECE 2017
Y2 - 3 November 2017 through 9 November 2017
ER -