Inadequate advanced planning and decision criteria for property and building asset decommissioning results in compliance risks and wasted resources at the end of the life cycle.
Goals and Objectives
Companies are seeking to automate and streamline decommissioning to quantitatively design, visually model, and effectively manage asset retirement and address environmental and social concerns impacting decommissioning.
IoT, smart assets, sensors, robotics/drones, digital twin, AI, machine learning, RPA, low code/no code, analytics, AR/VR
Use Case Summary
Leverage digital technology to reliably plan and evaluate decommissioning options, maximize project profitability, and attain operational excellence. Ensure material/asset recovery and site reclamation in alignment with sustainability and ESG benchmarks.