Aurora’s scheduling framework is built to adapt to the constraints, priorities, and uncertainty that define real operational environments, where resources are limited, dependencies are unavoidable, and plans rarely unfold as expected. Rather than forcing teams to simplify their operations to fit a generic model, Aurora applies resource-constrained optimization in a way that mirrors how work actually happens.
Each specialization reflects the unique demands of a specific domain, embedding domain-specific rules, constraints, and decision logic directly into the scheduling process. While the operational details differ, every specialization shares the same underlying optimization approach, ensuring consistent decision quality, resilience to change, and schedules that remain executable as conditions evolve.
Aurora-CCPM is an enterprise-level, multi-project Critical Chain Project Management (CCPM) solution that combines Aurora™, Stottler Henke’s intelligent scheduling system, with the power and flexibility of CCPM. It is designed to work seamlessly within existing environments and can be deployed in the cloud, on internal infrastructure, or as a standalone application, integrating with major project and enterprise tools such as Primavera P6, Microsoft Project, and various other tools.
By grounding Critical Chain reasoning in a sophisticated, resource-constrained scheduling engine, Aurora-CCPM can handle projects with thousands of interdependent tasks and hundreds of resource types. It supports forward, backward, and mixed-mode scheduling, allowing schedules to adapt as new tasks are introduced or execution conditions change.
Aurora-CCPM improves execution reliability through buffer-based control, intelligent conflict resolution, and a single global priority system that aligns teams around what matters most. Fast schedule computation enables rapid what-if analysis and clear explanations of why tasks are scheduled where they are.
Proven in large-scale manufacturing and operations environments—including use by Boeing in the final assembly of various aircraft including the 787 Dreamliner—Aurora-CCPM delivers faster throughput, greater adaptability, and measurable business impact.
Aurora-SchAAS delivers Aurora’s powerful, resource-constrained scheduling engine as a cloud-based service that can be integrated into third-party platforms and solutions. It exposes Aurora’s AI-powered scheduling capabilities without requiring complex infrastructure or major system rework, making advanced optimization accessible to SaaS and enterprise tools alike.
Built on over two decades of experience solving highly constrained scheduling problems, SchAAS automates what would otherwise be manual resource leveling and conflict resolution. By automating resource allocation and schedule recalculation, it helps teams adapt to real-time changes like new tasks, delays, or shifting priorities while keeping projects on track.
Aurora-SchAAS produces optimized, resource-aware schedules that outperform traditional tools such as Primavera P6 and Microsoft Project in throughput and responsiveness. Fast computation speeds also enable rapid what-if scenarios, empowering planners with actionable insights.
The service supports integration with major enterprise applications and scales to handle large, complex scheduling problems across industries. Aurora-SchAAS also includes rich constraint and rule modeling, allowing domain-specific scheduling logic to be captured and solved optimally.
Aurora-VT applies Aurora’s intelligent scheduling engine to the unique demands of vehicle testing (VT), where complex task dependencies, limited test facilities, and expensive prototype resources drive up costs and logistical risk. It infuses domain-specific heuristics into the core scheduling framework to generate optimized test sequences that complete all required nondestructive and crash tests within a target time window.
For major automotive manufacturers, Aurora-VT has reduced the number of vehicles needed to execute a full test suite by roughly 10%, translating into millions of dollars in savings per model while still meeting all safety and test objectives. By enabling rapid “what-if” analysis, it helps teams evaluate tradeoffs—such as how many vehicles are needed to finish testing sooner or how incremental changes affect throughput. The AI-driven engine also provides greater transparency into schedule risk and potential delays, giving planners insight into which constraints most impact timelines.
With sophisticated resource modeling tailored to automotive testing needs, Aurora-VT helps manufacturers reduce idle time, make better use of facilities and personnel, and adapt schedules as conditions change.
Aurora-Med applies Aurora’s intelligent scheduling engine to the complex demands of medical residency programs, where clinical rotations, on-call shifts, and clinic hours must align with strict staffing rules and regulatory requirements. At Massachusetts General Hospital, Aurora-Med automates the traditionally labor-intensive work of crafting these schedules, reducing administrative burden while producing efficient, equitable, and compliant schedules that adapt to frequent changes.
By structuring rotation assignments, call schedules, and clinic hours in an integrated process, the software ensures residents meet educational goals without unnecessary conflicts or overwork. Its flexible modeling capabilities accommodate shifting rules and emergency staffing needs, allowing rapid real-time adjustments without starting from scratch.
Aurora-Med also enhances workforce balance and resident well-being by evenly distributing duties and preventing overload. The result is a scheduling system that supports both operational needs and high-quality training experiences. By streamlining scheduling across departments and constraints, Aurora-Med helps healthcare providers focus on patient care and resident education rather than manual conflict resolution.
Aurora-DentalResident is an advanced scheduling solution designed to manage the intricate needs of dental education programs, particularly for large institutions like New York University College of Dentistry. At NYU, which manages schedules for up to roughly 1,500 active DDS students across four years of training, Aurora-DentalResident coordinates clinical rotations, didactic coursework, labs, and other required experiences within a unified system.
The software handles the layered complexity of section-level and individual-level activities, minimizing unacceptable overlaps while respecting preemption rules and resource constraints. It generates conflict-aware schedules that ensure equitable student experiences, appropriate clinic staffing, and efficient room usage across lecture halls and clinics. Intelligent algorithms take into account student progression, curriculum requirements, and individual preferences where possible, producing schedules tailored to both educational needs and institutional priorities.
Robust reporting and filtering features provide visibility into student rosters, clinic availability, and course schedules. By automating what would otherwise be highly manual work, Aurora-DentalResident frees administrators to focus on curriculum planning and student support rather than puzzle-solving.
Aurora-ProPlan is a pharmaceutical-focused customization of Aurora’s intelligent planning and scheduling system, equipped to handle the unique challenges of pharmaceutical production project management. It incorporates domain-specific capabilities such as supply chain logistics, changeover matrix knowledge, machine throughput limits, and SKU-level production requirements to generate optimized schedules tailored for highly constrained production environments. These enhanced features enable manufacturers to minimize changeover times and inventory carrying costs while maximizing equipment effectiveness and responsiveness to change.
Aurora-ProPlan excels at accommodating real-time disruptions—such as new tasks introduced mid-production—without derailing overall timelines or compliance requirements. Proven in practice with global pharmaceutical leaders like Pfizer, the system demonstrates its ability to meet stringent industry demands and drive operational excellence.
By automating complex schedule optimization and providing real-time visibility into timelines and resource usage, Aurora-ProPlan supports more informed decisions and improved workflow efficiency. Its real-time adaptability helps planners respond quickly to unforeseen circumstances with minimal disruption to throughput or project delivery.
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