2021Unpublished venueRequires access

Search Optimization Applied to a Modular System Upgrade: A Preliminary Model

Romulo F. Jimenez Broas, Mo Mansouri

Open publisher page 4 citations

Abstract

Search optimization techniques can be used to explore which new innovation or technology to implement in a modular system upgrade amid many options. Within the context of modular systems, a model is proposed that will examine how to choose new technologies or innovations so that system upgrades are optimized. Outcomes of the research should be insights on how to do modular upgrades better, which will be the basis of a decision-making tool that should enhance the systems engineering practice of modularity.

About this research paper

What this paper is about

Search optimization techniques can be used to explore which new innovation or technology to implement in a modular system upgrade amid many options. Within the context of modular systems, a model is proposed that will examine how to choose new technologies or innovations so that system upgrades are optimized. Outcomes of the research should be insights on how to do modular upgrades better, which will be the basis of a decision-making tool that should enhance the systems engineering practice of modularity.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Search optimization techniques can be used to explore which new innovation or technology to implement in a modular system upgrade amid many options. Within the context of modular systems, a model is proposed that will examine how to choose new technologies or innovations so that system upgrades are optimized. Outcomes of the research should be insights on how to do modular upgrades better, which will be the basis of a decision-making tool that should enhance the systems engineering practice of modularity.

Key concepts: Upgrade, Modular design, Modularity (biology), Computer science, Systems engineering, Context (archaeology), Software engineering, Engineering

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