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

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.

I. Introduction

The systems thinking concepts of stakeholder, shaping forces, conceptigan, systemigram, and causal loop analyses highlight the central role of the Systems Engineer when upgrading modular systems through the incorporation of new technologies or innovations [1]. By balancing various risks, opportunities, and stakeholder interests, it is the Systems Engineer that dictates the amount and the frequency of the new technologies and innovations that are incorporated.