Fourth Annual
Technical Conference

Held 29 July 2026

The Project Production Institute hosted its Fourth Annual Technical Conference on Wednesday 29 July 2026. This annual event brought together industry experts, academics and thought leaders to explore cutting-edge solutions, methodologies, and technologies driving technical advancements and innovation in project delivery.

The primary objective of the conference is to discuss and address the root cause of major capital project cost and schedule overruns via research, discussion and dissemination of Project Production Management (PPM) and its foundation of Operations Science. Specifically, this conference focuses on the research, development and application of methods and technologies used to optimize the delivery of civil, digital and energy infrastructure projects

In support of this, PPI invited practitioners and academics to submit technical abstracts for consideration and presentation at the upcoming conference. Selected papers are presented at the conference. Papers focus on one of the following research categories: Theory (specifically related to Operations Science, PPM, Lean etc.), Model (the application of simulations, digital twins, robotics, autonomous, IoT, AI / ML) or Control (the use of various systems, protocols, methods and tools that are used to control Project Production Systems). Learn more about PPI’s research here.

AGENDA

PAPERS AND PRESENTATIONS WILL BE POSTED HERE. JOIN PPI TO BE NOTIFIED. 

The Next Era of Nuclear Energy: Why the Future of Nuclear Power Depends on Industrializing the Production Systems That Deliver Nuclear Power Plants

Opportunities and Challenges of Nuclear-powered AI Data Centers

Six Fundamental Production System Measurements

A Technical Decomposition of Project Schedules and Production System Models

Beyond Variability: Designing and Controlling Capital Project Production Systems

The Capable Owner: Why Owner Capability Is the Primary Determinant of Capital Project Outcomes

Increasing Decision Velocity: An Adaptive Project Delivery Framework for AI-Enabled Capital Projects

Proper Selection of a Project Delivery Method: Reconciling Deterministic Frameworks with Operations Science and Project Production Management

Advanced Project Delivery (APD): A Unifying Approach For Capital Project Performance

Automated Production Data through IOT on Fabrication

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

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

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

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

Production System Optimization in Turnarounds: Controlling Flow, Reducing Variability

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