OPTIMIZATION OF INSTALLED ROBOTIC CELLS: INCREASING PRODUCTIVITY THROUGH REPROGRAMMING AND LEVERAGING EXISTING ASSETS: A SYSTEMATIC LITERATURE REVIEW

Resumo

Most industrial plants operate robotic cells that never reach peak performance after commissioning, as changes in product mix and operational adaptations cause originally optimized equipment to run with cycle times longer than necessary. This article presents a systematic review of international and national literature from the last five years on optimization strategies for already-installed robotic cells, focusing on reprogramming, trajectory optimization, reduction of unproductive time, movement synchronization, and digital twin validation. Twenty-four studies were analyzed following a structured search and screening protocol inspired by the PRISMA 2020 guidelines. Results indicate that productivity gains between 10% and 60% can be achieved exclusively through reprogramming and logical reconfiguration, without new equipment investment; that prior virtual validation significantly reduces the risk of production-floor intervention; and that the net effect of these strategies on return on assets tends to exceed that of physical expansion projects, since they do not enlarge the asset base employed. It is concluded that maximizing return on already-installed assets is an engineering strategy as relevant as physical plant expansion, and that its systematic adoption depends on both technical competence and organizational governance.