Solving Complex Problems Using Simio's Process Digital Twin
The answer to these questions can make a break a company’s furture.
- Customers are demanding more product variety.
- They want smaller order quantities with shorter lead times.
- This is driving more and more complexity into plant operations
Executives desperately need a more reliable way to answer these questions and that is where the Simio Process Digital Twin can help
Why Simio's Process Digital Twin Differs from Others
Simio provides a systematic roadmap to improve your factory operations, to synchronize and fix the information contained in your Enterprise systems and to harmonize people and processes to finally deliver a production schedule which is fully executable. Schedule feasibility is possible because Simio considers all operational constraints as well as the business logic required to successfully operate the factory concurrently, when creating the schedule.
We provide a 3D Process Digital Twin that is generated and driven by your enterprise data, which simulates the expected outcome into the future to provide predictive and prescriptive analysis of the system and is used to improve both the design and operations of complex systems.
Why Use Simio's Process Digital Twin?
Increased Throughput & Operational Efficiency
- Eliminate siloed planning by concurrently scheduling all the operational areas
- Reduce unplanned downtime by synchronizing all capacity and material constraints to meet demand
- Reduce costs of setups by reducing changeovers without compromising on time delivery
Probability of Meeting On Time Delivery & Cost
- Risk Analysis of meeting targets, such as on time delivery or cost
- Constraint analysis of the root causes of delays and inefficiencies (labor, materials, capacity, etc.)
- Avoid late penalties by addressing high-risk orders proactively
Synchronize the Factory through Global Visibility
- Schedule visibility to the organization & all stakeholders in the supply chain via Azure
- Visibility to suppliers for when and where raw materials and parts are needed (JIT)
- Management dashboards to track performance
Dynamic Near-Realtime Event-based Scheduling
- React to events in the system, such as unplanned downtime, signals from sensors or new orders
- Eliminate manual, time consuming planning in Excel-based systems
- Effective what-if analysis and plan comparisons to optimize business KPIs