Presentations

25 August 2026

Wrap-Up

One theme ran through every session: projects behave as production systems, and the field is moving from qualitative judgment to quantitative measurement. Gary Fischer of the Project Production Institute closed the Fourth Annual Technical Conference with the takeaways he recorded across the day. Research is advancing but far from finished, and artificial intellig ...

25 August 2026

AI-Driven 4D BIM: A Framework for Real-Time Construction Planning

Building Information Modeling is widely adopted across the AEC United States firms, yet one of its highest-potential applications, four-dimensional construction scheduling (4D BIM), remains limited to basic visualization use. A gap persists between the documented theoretical benefits of 4D BIM and its practical impact, driven by manual coordination processes that ...

25 August 2026

Applying AI Within a Project Production Management Framework to Optimize Construction Operations

Major capital projects (MCPs) are increasingly constrained by schedule pressure, supply-chain volatility, weather exposure, energy-performance requirements and the need to commit design earlier than traditional delivery models comfortably allow [1][2][3]. This paper proposes that artificial intelligence (AI) as an enabling tool in the Concurrent Digital Engineeri ...

25 August 2026

From Visual Perception to Flow Observability in Anchored Shotcrete Retaining Walls: A Preliminary Computer Vision-Based PPM Framework

Deep excavation sites produce large volumes of visual records without panel-level temporal traceability: a photograph alone cannot indicate when a specific wall panel entered a given phase, how long it remained there, or what production state corresponded to that moment. This paper presents a preliminary Project Production Management (PPM) framework based on com ...

25 August 2026

A Decision Framework for Early-Stage Construction Robotics Deployment: Evidence from 10 Commercial Envelope-Installation Projects

Construction robotics is emerging as a candidate control layer for reducing variability in project production systems. Its early-stage deployment phase introduces a novel prioritization problem: small robotics teams must decide, deployment by deployment, which operational friction to solve through product investment versus which to handle through operator workar ...

25 August 2026

Real-Time Production Measurement through IoT: Steps Towards Enabling Automated Production Control

Most construction and capital projects still rely on manual data tracking to understand task completion and project progress. Effective project production management depends on more than collecting data; it requires production information that is validated, reliable, and available soon enough to influence project execution. This paper presents a low-cost, passive ...

25 August 2026

Advanced Project Delivery (APD): A Coordinated Push For Better Projects

Lean, AWP, and PPM share one origin and push in uncoordinated directions. John Strickland of Collaborative Flow presented Advanced Project Delivery as the reconnection. APD is a forum, not a merger: each institute keeps its mission while the three learn from each other and combine their influence. Strickland traced the fifteen-year divergence: lean construction b ...

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