PPI’s approach is governed by the Turnaround Excellence Framework, a unified lifecycle model that makes turnaround performance measurable from strategic premise through execution, closeout, and continuous improvement. The framework identifies where intervention is needed. The following seven components of PPI’s execution operating system provide the response, in lifecycle order.
1) Practical Management of Plant Turnarounds (PMPT): Structured training and implementation support to define the turnaround premise, align roles and responsibilities, and embed readiness and gate-based assurance milestones.
2) Plan2Plan (P2P) Playbook Development: Co-development of a milestone-based planning framework that aligns Operations, Capital, Maintenance, and Contractors around shared deliverables, timelines, and compliance metrics.
3) Scope Challenge (J-Factor): A facilitated, auditable risk-based work selection (RBWS) process that challenges every proposed work-package before scope freezes. Must-do work is separated first, the rest is rated in a Risk-Based Scope Review, and each rated item is tested for its J-Factor: the risk it removes for each dollar spent, against the hurdle set for its risk category. After freeze, Added Work and Found Work go through the same tests as they arrive.
4) Dynamic Scheduling Methodology (DSM): Training and mentorship in DSM to establish systematized, logic-driven, float-optimized, and execution-responsive schedules. This includes schedule audit frameworks and resource-loaded planning structures to enhance scheduling maturity.
5) AI-Driven Schedule Optimization with ALICE Core: Deployment of ALICE Core to enable parametric optioneering and scenario analysis. DSM serves as the foundation for high-quality inputs (“Gold In, Gold Out”), delivering scalable, AI-enhanced planning options.
6) Work Process Reviews and Assurance Activities: Independent analysis of current turnaround workflows and readiness reviews aligned with Plan2Plan milestones. Schedule health checks are delivered as the Schedule Readiness Review: each development cycle, a PPI scheduler screens your Primavera P6 schedule for structural health, plan health against PPI’s schedule development standards, and forecast readiness, then works the findings with your team until the schedule is a baseline candidate.
7) In-Event Critical Mass Control: Control of the live event from the daily P6 update your scheduler already produces. Each update shows whether the finish is still set by logic or has become set by crew throughput, and flags bulk scope running past its target as an early warning of critical mass trouble. For each primary craft, remaining hours become a headcount forecast and a calculated step-down, so hold-or-release decisions are made craft by craft rather than on an event-wide curve. Outputs feed both tiers of the event’s Rhythm, with blockers carried on a single Constraint Log.
The scope of work is structured across delivery phases, each building capability while reinforcing long-term planning discipline and internal ownership. The modular structure is designed to fit your turnaround planning cycle and organizational structure.
Each component builds internal capability alongside the event itself, so the execution system, and the discipline behind it, stays with your organization after PPI’s engagement ends.