TY - JOUR
T1 - Using Search Optimization in Modular System Upgrades
T2 - A Parametric Analysis and Case Study
AU - Broas, Romulo
AU - Mansouri, Mo
AU - Gianvittorio, John
N1 - Publisher Copyright:
© 1973-2011 IEEE.
PY - 2023
Y1 - 2023
N2 - This article discusses the application of search optimization techniques to modular systems. A formulation is derived where a critical module performance characteristic mc is used as a benchmark to determine if a system upgrade should be pursued. A parametric analysis showing the sensitivity of mc to the time factor D and the default module performance md is presented. It was observed that as the current default performance holds its value well in the future, the performance standards for an upgrade should be more stringent. It was also seen that having better performance as a default makes upgrading less appealing. Finally, an analysis in a case study showed a 44% increase in profit when the search optimization technique is applied when compared to a 'never upgrade' strategy.
AB - This article discusses the application of search optimization techniques to modular systems. A formulation is derived where a critical module performance characteristic mc is used as a benchmark to determine if a system upgrade should be pursued. A parametric analysis showing the sensitivity of mc to the time factor D and the default module performance md is presented. It was observed that as the current default performance holds its value well in the future, the performance standards for an upgrade should be more stringent. It was also seen that having better performance as a default makes upgrading less appealing. Finally, an analysis in a case study showed a 44% increase in profit when the search optimization technique is applied when compared to a 'never upgrade' strategy.
KW - Modularity
KW - optimization
KW - upgrades
UR - http://www.scopus.com/inward/record.url?scp=85142845433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142845433&partnerID=8YFLogxK
U2 - 10.1109/EMR.2022.3222174
DO - 10.1109/EMR.2022.3222174
M3 - Article
AN - SCOPUS:85142845433
SN - 0360-8581
VL - 51
SP - 164
EP - 171
JO - IEEE Engineering Management Review
JF - IEEE Engineering Management Review
IS - 1
ER -