Optimizing End-to-End Project Cycle Through Advanced Asset Digitization

Abstract

The exponential growth in wireless data demand necessitated optimizing network expansion processes burdened by long project cycles, multiple physical site visits, and data inaccuracies. This project utilized the DMAIC framework to address these systemic issues, implementing advanced asset digitization using drones, 360-degree cameras, and Artificial Intelligence (AI) to create digital twin (DT) assets and verification tools. The initiative delivered total net savings and cost avoidance of $8,633,200, achieving a unit cost percentage reduction of approximately 5.31%. Operational efficiency improved dramatically, reducing the overall project cycle time by 1.5 months, meeting the target of 1 to 2 months, and improving documentation accuracy by 30%, tripling the 10% goal. Sustained improvements are ensured via the control phase, which mandates digitized deliverables as the new standard and utilizes Application Programming Interface (API) integration for automated data flow, enabling continuous improvement for future network expansion.