Unlike other scheduling solutions, Simio allows you to perform Risk Analysis in Real Time! How important is it to you for your customers to know when you will deliver their order when the unexpected happens?
Companies have made significant investments in their ERP (Enterprise Resource Planning) systems; however these systems typically fall short with production scheduling. Although there are a number of Advanced Planning and Scheduling (APS) products on the market designed to integrate detailed production scheduling into the overall ERP solution, these solutions have some widely recognized shortcomings. For the most part the ERP system and day-to-day production remain disconnected.
A critical problem with the traditional APS approach is that it requires that all the data be fully known and deterministic. For example, all processing times must be fixed and there can be no unexpected events or delays. Hence the resulting schedule with APS is by nature optimistic, and is typically very different from what occurs in the real facility. It is common that what starts off as a feasible schedule turns infeasible over time as variation and unplanned events degrade performance. It is normal to have large discrepancies between predicted schedules and actual performance. To protect against delays the scheduler must buffer with some combination of extra time, inventory, or capacity; all adding cost to the system.
With Simio Scheduling Software, you can build a simulation model that fully captures both the detailed constraints and variations within your system. This allows you to use the model in two different ways. The model you generate gives a detailed schedule and plan that is executed in a perfect environment (APS approach) where machines do not break, process times are always constant, and materials arrive on time. Then you can replicate the same simulation model, but this time with variation turned on and perform a probabilistic analysis to estimate the underlying risks associated with the schedule. With this model, the risk measures generated include the probability of meeting your defined targets, as well as expected, pessimistic and optimistic targets.
Simio Scheduling Software has Entity Gantt Charts integrated into the software. These charts display corresponding risk measures for each of your orders. In the chart shown below, the markers to the right indicate the target due date and the value in each marker indicates the probability of shipping on time. You can see that Order01 should make the target, the high variability of Order03 puts it at risk, and the lack of slack time in Order04 puts it at a high risk of making the target set by you.
With the knowledge gained from Simio Scheduling Software and the Entity Gantt Chart, you can take early action in the operational plan to mitigate the risks and reduce cost. You are provided with a realistic view of expected schedule performance and can plug in specific alternatives such as overtime or expediting external material/components from suppliers and see their impact on both risk of meeting schedule targets, and the cost of mitigating those risk. Thereby providing you with operational strategy at minimum cost.
The model built using Simio Scheduling Software allows for simulation of the flow of a specific set of orders. Using this model, not only do you get detailed logic for planning/scheduling day to day operations, but you can evaluate the long term impact on performance of capital equipment purchases, change in process flows, or new product introductions of your facility design.
Simio Scheduling Software brings finite capacity scheduling and advanced planning and scheduling functionality to Wonderware MES. Our patented approach is the first to automate comparing a deterministic schedule with a variation adjusted schedule to let you effectively deal with uncertainty, such as: breakdowns, unplanned events and material shortages. Using Simio and Wonderware MES together, you can reschedule resources to acceptable levels of risk. Simio also allows you to take advantage of your existing data to quickly and automatically build a scheduling model, and that can be enhanced to accurately capture complexity unique to your system.
To learn more about Simio and Wonderware's interface and to receive a free book, visit here.
“The Excel interoperability is very convenient. Our planners did’t need to learn the Simio software; they just needed to know what to feed it. We can make changes in minutes.”
“It is hard to imagine, but we didn’t really see the best solution until we ran simulations with the Simio software. No one had even thought about doing the alternative that Simio projected it for us. The software allows you to do some non-conventional thinking.”
See how BAE used Simio for forecasting and scheduling challenges including decreasing overtime, developing training goals, writing proposals, and evaluating capital investments.
Shell Gulf of Mexico chose Simio because the scheduling tool was built on a spatially aware, discrete event simulator that was capable of assessing risks with schedules
To handle the detailed planning, Simio is used because it calculates an optimal plan for execution, based on a simulated model of the facility. Planning and re-planning are carried out dynamically and does constantly take into account the condition and the current load of the facility.
Variation plays a role in creating congestion and delays.
Compelling points of the Simio approach to planning and scheduling
Risk-based planning and scheduling is the wave of the future.
Drive more revenue at reduced cost by generating schedules that account for risk and uncertainty.
Expose hidden and unnecessary cost and time by accurately modeling critical constraints.
Through the combination of simulation and scheduling, Simio enables you to predict, plan and improve. Simply, safely, without risk.
Global Multi-Plant Remanufacturer Uses Simio Software to Streamline and Forecast Production
See for yourself why Scheduling from Simio works!