Enhancing Organizational and Technological Structures in Construction via a Mixed Framework Validated Through Delphi and NSGA-II

Abstract

The construction industry faces persistent challenges in coordination, scheduling, and cost control, particularly in environments with low digital maturity. This study proposes an integrated digital-organizational framework linking organizational, technological, and financial subsystems through digital transformation and data-driven optimization. A mixed analytical approach—combining survey diagnostics, Delphi-based expert validation, and NSGA-II multi-objective optimization—was applied to enhance project structures. Four key performance indicators were analyzed: Digital Readiness Score (DRS), Return on Investment (ROI), Cost Growth (CG), and Coordination Delay Index (CDI). Validation across twelve simulated projects and one real case study at TEPLOSTROY (Russia) demonstrated measurable gains: 17% cost reduction, 24% shorter duration, and 40% productivity improvement. Deviations between simulated and field results ranged from 3.9% to 7.4%, confirming predictive reliability. The framework provides a replicable, data-driven basis for improving efficiency, coordination, and decision-making in digitally enabled construction environments.