TiQ Optimizer Scheduler – Advanced Production Scheduling Platform - enables optimal scheduling across machines, resources, and shifts — reducing delays, bottlenecks, and production costs
by TiQ Srl
Streamline operations with TiQ Optimizer Scheduler for smarter and faster scheduling solutions.
TiQ Optimizer Scheduler is a cutting-edge scheduling solution designed to streamline task management and optimize resource allocation. This tool leverages advanced algorithms to ensure efficient scheduling, saving time and reducing operational bottlenecks.
Ideal for businesses, project managers, and teams, TiQ Optimizer Scheduler provides the precision and flexibility needed to handle complex schedules and workflows. Whether you're managing multiple projects or coordinating team activities, this scheduler adapts to your unique requirements.
TiQ Optimizer Scheduler addresses the challenges of manual scheduling, such as inefficiencies, missed deadlines, and resource conflicts. By automating and optimizing the scheduling process, it empowers users to focus on strategic goals rather than administrative tasks.
Core Capabilities:
- Finite capacity scheduling based on real resource availability
- Multi-machine and multi-stage planning with precedence and setup times
- Workforce scheduling across shifts and qualifications
- Material availability checks and Just-in-Time alignment
- Real-time re-scheduling in response to unplanned events (machine stops, urgent orders)
- Gantt chart visualization and KPIs tracking (throughput, utilization, delays)
Architecture & Deployment
TiQ Scheduler is available in two modes:
- Web-based interface (SaaS) accessible via browser on Microsoft Azure
- Client-Server solution with WPF desktop interface and centralized optimization engine
It integrates seamlessly with ERP/MES systems and supports standard protocols (REST, OPC UA, CSV, SQL-based integration).
Optimization Benefits
- Reduce production lead times
- Minimize setup and idle time
- Improve on-time delivery and resource utilization
- Align production to material constraints and inventory status
- Increase flexibility and responsiveness to change
- Enable operators to complete tasks more efficiently with clear priorities and instructions
- Formalize organizational know-how through standardized, optimized workflows
- Run "what-if" analyses to evaluate alternative production scenarios and anticipate disruptions
