INDUSTRIAL LAYOUT RECONFIGURATION ANALYSIS FOR OPTIMIZATION OF PRODUCTION FLOWS

Abstract

This study consolidates recent evidence on the optimization of physical layouts within reconfigurable manufacturing systems, aiming to map the employed methods, performance metrics, and observed impacts through a qualitative bibliographic review of indexed publications. Thirty peer-reviewed studies were analyzed and organized into four analytical categories: layout planning, performance metrics, optimization algorithms, and sustainability. The results indicated average increases of up to sixty-six percent in Overall Labor Effectiveness following interventions that combined machine repositioning, real-time sensing, and mathematical modeling, along with reductions in operator travel distances, internal energy consumption, and the occurrence of move-back cycles. It is concluded that industrial layouts should be managed as dynamic systems supported by digital twins, ESG indicators, and a culture of continuous improvement to maintain competitiveness in volatile markets.