Using Search Optimization in Modular System Upgrades:A Parametric Analysis and Case Study

This paper discusses the application of search optimization techniques to modular systems. A formulation is derived where a critical module performance characteristic m c is used as a benchmark to determine if a system upgrade should be pursued. A parametric analysis showing the sensitivity of m c t...

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Bibliographic Details
Published in:IEEE engineering management review 2023, Vol.51 (1), p.1-25
Main Authors: Broas, Romulo, Mansouri, Mo, Gianvittorio, John
Format: Article
Language:English
Subjects:
Modular systems
modularity
Modules
Optimization
Parametric analysis
Parametric statistics
Performance standards
Searching
Sensitivity
System performance
Technological innovation
Time factors
Unemployment
upgrades
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Summary:This paper discusses the application of search optimization techniques to modular systems. A formulation is derived where a critical module performance characteristic m c is used as a benchmark to determine if a system upgrade should be pursued. A parametric analysis showing the sensitivity of m c to the time factor D and the default module performance m d is presented. It was observed that as the current default performance holds its value well in the future, the performance standards for 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.
ISSN:0360-8581
1937-4178
DOI:10.1109/EMR.2022.3222174