TY - GEN
T1 - Value-driven design using discipline-based decomposition for a family of front-loading washing machines
AU - Jung, Sangjin
AU - Simpson, Timothy W.
AU - Bloebaum, Christina
N1 - Funding Information:
This work was supported by the National Science Foundation under collaborative grants CMMI-1436236 and CMMI-1436285. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2017 ASME.
PY - 2017
Y1 - 2017
N2 - In order to determine target market and price, and design products/components for a family of front-loading washing machines, the coordination for decision-making from the corporate level down to the product and ultimately component levels is required. However, existing design research for many products focuses on analyzing single or multiple disciplines, even though optimizing local performance does not guarantee minimizing total cost at the product line level or maximizing value at the company level. In this work, we apply a multi-level value-driven design (VDD) approach to optimize a family of front-loading washing machines using a discipline-based decomposition. The VDD solutions obtained using disciplinebased decomposition (DD) are compared with those obtained using product-based decomposition (PD). Consequently, the multi-level VDD approach based on DD for the washer family provides better performance for attributes than PD, but we observed that DD for the washer family does not guarantee maximizing the value function compared to PD because of the larger numbers of subsystems and consistency-related variables. Ongoing and future work to address this problem are discussed.
AB - In order to determine target market and price, and design products/components for a family of front-loading washing machines, the coordination for decision-making from the corporate level down to the product and ultimately component levels is required. However, existing design research for many products focuses on analyzing single or multiple disciplines, even though optimizing local performance does not guarantee minimizing total cost at the product line level or maximizing value at the company level. In this work, we apply a multi-level value-driven design (VDD) approach to optimize a family of front-loading washing machines using a discipline-based decomposition. The VDD solutions obtained using disciplinebased decomposition (DD) are compared with those obtained using product-based decomposition (PD). Consequently, the multi-level VDD approach based on DD for the washer family provides better performance for attributes than PD, but we observed that DD for the washer family does not guarantee maximizing the value function compared to PD because of the larger numbers of subsystems and consistency-related variables. Ongoing and future work to address this problem are discussed.
UR - https://www.scopus.com/pages/publications/85034657370
UR - https://www.scopus.com/pages/publications/85034657370#tab=citedBy
U2 - 10.1115/DETC201767631
DO - 10.1115/DETC201767631
M3 - Conference contribution
AN - SCOPUS:85034657370
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 43rd Design Automation Conference
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2017
Y2 - 6 August 2017 through 9 August 2017
ER -