DIGITAL TWINS – TraverseBoard Advanced Planning & Scheduling

DIGITAL TWINS – TraverseBoard Advanced Planning & Scheduling

Digital Twin assisted planning & scheduling software

Traverse Board is a custom made software tool to create Digital Twin solutions. Digital Twins enable tactical and operational decisions through multiple time horizons. Traverse Board’s calculation core consist of simulation models and strengthened with optimization algorithms brought together by a customizable user-friendly interface. The tool is typically used in high risk and high investment businesses.

Traverse board is a comprehensive platform for creating Digital Twins, creating optimized robust plans and schedules through multiple time horizons.

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Integrating real life data, optimization techniques and simulation

A Traverse Board Digital Twin can be used to create optimized day-to-day schedules and plans based on current system status. TraversBoard can also be used to analyze investment scenarios. By combining real life data and the unique strengths of both simulation and optimization, fast, reliable, robust and accurate predictions are created.

Combines Real Life Data, Simulation & Optimization Techniques

Digital Twin: Simulation and real life data

Talumis has over 100 years combined expertise in creating Digital Twins and simulation models in various industries. This resulted in creating the TraverseBoard Digital Twin platform. The simulation engine and models together with real-life system data, Traverse Board is able to predict the future in great detail.

Scenario Management

The power of TraverseBoard Digital Twin is the accuracy in predicting what is going to happen in the near future with a great detail and high-fidelity models. TraverseBoard also contains a scenario management module. The scenario management allows for what-if analysis and optimization. This includes strategic and tactical decisions but also allows for short term operational optimization.

Planning & Scheduling

On a tactical level it is possible to generate different plans via optimization or drag and drop activities in a Gantt Chart. Typical questions that can be answered is reducing total throughput time, impact of changes in plans, whether temporary recourses are needed, etc.

Various plans can be compared on Value at Risk and Timeliness of Orders. The simulation engine will provide detailed data that is uncertain and therefore Traverse Board is able to plan for real-life uncertainties, providing the most optimal and robust plans.

Traverseboard Digital Twin is linked to operational data, enabling to automatically schedule day-to-day operations. Users are able to change the schedule and test possible alternatives using the scenario management capabilities of TraverseBoard. This also allow users to test various schedule options when faced with unforeseen events. Simulation will provide comparisons between schedules to see the impact of changes on the short term and quantify the risks on the long run.

Advantages of simulation

One of the main advantages of simulation is handling uncertainties. Traverse Board can simulate plans multiple times, using statistics to mimic real-life uncertainties. In this way it is possible to find out how robust a plan/schedule is and what the risks are. It is possible to compare plans for instance on its Value at Risk, the Timeliness of a Plan and Resource Utilization.

Optimize schedules

This will allow to optimize for the current schedule, taking into account future plans and uncertainties. Schedulers are able to evaluate the impact of different schedules/plans, either generated by the optimization engine or by manually altered plans. traverseboard Advanced Planning & Scheduling will quantify the risk a plan is exposed to, for the short, mid and long term.

Create, evaluate and publish plans

Interactive Gantt Charts are used to display plans and activate or deactivate recourses. Planned arrivals and stock profiles can be compared to actual data.

Mimic future data

Traverse Board is able to schedule with ‘known’ short term uncertainties and combine it with longer term uncertainties. For instance a breakdown or bad weather can be known when creating a schedule for the next day. For the mid and long term actual data might not be known. Here the simulation engine will provide an order generator to mimic this unknown future data.

Compare different plans using real life uncertainty of the Digital Twin

Different plans are evaluated through simulation experiments, enabling a planner to create the optimal solution.

Simulation results will quantify Value at Risk and Timeliness

Value at Risk and Timeliness are two important features for determining the best plans. For supply chain solutions SCOR card reporting can be generated as well, including the robustness of these KPI’s.

Dirk-Jan Moens

Ready to set up your Digital Twin?

If you want to have more information about how Talumis can help with setting up a Digital Twin to be used for planning and scheduling solutions, please send a question to our planning & scheduling expert.

Contact Dirk-Jan

Digital Twin – planning & scheduling projects by Talumis

GEMINI: Container Terminal Digital Twin to support the day-to-day optimization of planning vessels and scheduling crew and cranes

GEMINI Digital Twin

Shell

For LNG (liquefied natural gas) supply chain planning and scheduling a solution has been developed that can create and optimize annual delivery plans. The optimization takes into account future uncertainties like weather events and unscheduled production outages. The resulting plan is both robust (can recover from unforeseen events) and optimal (uses the best delivery strategy based on revenue).

ESI-Eurosilo

Another example is the on-line monitoring and control of coal storage and burn plan in a power plant. The simulation model calculates, based on on-line (real-time) PLC information, where particular coal qualities are located in the storage facility. Then a simple algorithm is used to create the best short-term burning mix and plan. This plan can than also be simulated to validate the calculated plan.

SNS-Pool

For the planning of supply vessels Talumis also created a simulation support planning system. The problem of vessel supply can be characterized as a so called “multiple vehicle routing problem with time windows”. There are mathematical optimizers that can calculate the ‘optimal’ solution. The downside is that these optimizers are very calculation intensive, cannot cope with all constraints and can only be used deterministic. Talumis created a combination of heuristics and optimization together with a very detailed simulation model. The simulation, together with the bespoke optimizer, is able to create detailed delivery plans that can be used both strategically (how many vessels do I need) as well as in operations (what is the plan for tomorrow).