Integrating Industry 4.0 technologies for embodied carbon reduction in construction supply chains

Construction supply chains operate as complex, project-based, and temporary networks, where early-stage activities, particularly design and procurement, determine the majority of embodied carbon outcomes. This chapter introduces novel definitions for construction supply chain management and clarifies the scope and embodied carbon across lifecycle modules. The chapter then explains why current embodied carbon reduction efforts are limited by fragmented, restricted multi-tiered visibility, inconsistent calculation boundaries, inaccurate carbon values, and low-maturity carbon data. Building on this investigation, the chapter maps core Industry 4.0 technologies, including additive manufacturing and 3D printing, advanced robotics and autonomous systems, artificial intelligence (AI) and machine learning (ML), augmented reality and virtual reality, big data and advanced analytics, blockchain and smart contracts, digital twins, drones or unmanned aerial vehicles, edge computing, and Internet of Things (IoT), into three enabling layers: data management, data analysis, and applications. Across the construction lifecycle, Industry 4.0 technologies integrate building information modeling (BIM), IoT data streams and procurement records with advanced analytics, blockchain-ledger traceability, and digital twins to improve supply chain visibility and enable more reliable embodied carbon estimation and tracking. AI, ML, big data, advanced analytics, smart contracts, and edge computing can perform accurate calculations and analyses and support predictive analytics, optimization, and forecasting to reduce embodied carbon. Additive manufacturing, 3D printing, advanced robotics and autonomous systems, AI, and ML, along with digital twins, provide applications to mitigate embodied carbon. The chapter concludes by outlining the prerequisites, challenges, and limitations of implementation, emphasizing shared data infrastructure, contractual alignment, and supportive regulatory frameworks to expand integrated, data-driven ecosystems that enable measurable reductions in embodied carbon.